/*
 * Copyright 2023 Google LLC
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *     https://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
// Generated by the protocol buffer compiler.  DO NOT EDIT!
// source: google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/automl_tables.proto

package com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition;

/**
 * Protobuf type {@code
 * google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs}
 */
public final class AutoMlTablesInputs extends com.google.protobuf.GeneratedMessageV3
    implements
    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs)
    AutoMlTablesInputsOrBuilder {
  private static final long serialVersionUID = 0L;
  // Use AutoMlTablesInputs.newBuilder() to construct.
  private AutoMlTablesInputs(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
    super(builder);
  }

  private AutoMlTablesInputs() {
    predictionType_ = "";
    targetColumn_ = "";
    transformations_ = java.util.Collections.emptyList();
    optimizationObjective_ = "";
    weightColumnName_ = "";
    additionalExperiments_ = com.google.protobuf.LazyStringArrayList.emptyList();
  }

  @java.lang.Override
  @SuppressWarnings({"unused"})
  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
    return new AutoMlTablesInputs();
  }

  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMLTablesProto
        .internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlTablesInputs_descriptor;
  }

  @java.lang.Override
  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
      internalGetFieldAccessorTable() {
    return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMLTablesProto
        .internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlTablesInputs_fieldAccessorTable
        .ensureFieldAccessorsInitialized(
            com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                .class,
            com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                .Builder.class);
  }

  public interface TransformationOrBuilder
      extends
      // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation)
      com.google.protobuf.MessageOrBuilder {

    /**
     * <code>
     * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.AutoTransformation auto = 1;
     * </code>
     *
     * @return Whether the auto field is set.
     */
    boolean hasAuto();
    /**
     * <code>
     * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.AutoTransformation auto = 1;
     * </code>
     *
     * @return The auto.
     */
    com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
            .Transformation.AutoTransformation
        getAuto();
    /**
     * <code>
     * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.AutoTransformation auto = 1;
     * </code>
     */
    com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
            .Transformation.AutoTransformationOrBuilder
        getAutoOrBuilder();

    /**
     * <code>
     * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericTransformation numeric = 2;
     * </code>
     *
     * @return Whether the numeric field is set.
     */
    boolean hasNumeric();
    /**
     * <code>
     * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericTransformation numeric = 2;
     * </code>
     *
     * @return The numeric.
     */
    com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
            .Transformation.NumericTransformation
        getNumeric();
    /**
     * <code>
     * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericTransformation numeric = 2;
     * </code>
     */
    com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
            .Transformation.NumericTransformationOrBuilder
        getNumericOrBuilder();

    /**
     * <code>
     * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalTransformation categorical = 3;
     * </code>
     *
     * @return Whether the categorical field is set.
     */
    boolean hasCategorical();
    /**
     * <code>
     * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalTransformation categorical = 3;
     * </code>
     *
     * @return The categorical.
     */
    com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
            .Transformation.CategoricalTransformation
        getCategorical();
    /**
     * <code>
     * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalTransformation categorical = 3;
     * </code>
     */
    com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
            .Transformation.CategoricalTransformationOrBuilder
        getCategoricalOrBuilder();

    /**
     * <code>
     * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TimestampTransformation timestamp = 4;
     * </code>
     *
     * @return Whether the timestamp field is set.
     */
    boolean hasTimestamp();
    /**
     * <code>
     * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TimestampTransformation timestamp = 4;
     * </code>
     *
     * @return The timestamp.
     */
    com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
            .Transformation.TimestampTransformation
        getTimestamp();
    /**
     * <code>
     * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TimestampTransformation timestamp = 4;
     * </code>
     */
    com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
            .Transformation.TimestampTransformationOrBuilder
        getTimestampOrBuilder();

    /**
     * <code>
     * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextTransformation text = 5;
     * </code>
     *
     * @return Whether the text field is set.
     */
    boolean hasText();
    /**
     * <code>
     * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextTransformation text = 5;
     * </code>
     *
     * @return The text.
     */
    com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
            .Transformation.TextTransformation
        getText();
    /**
     * <code>
     * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextTransformation text = 5;
     * </code>
     */
    com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
            .Transformation.TextTransformationOrBuilder
        getTextOrBuilder();

    /**
     * <code>
     * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericArrayTransformation repeated_numeric = 6;
     * </code>
     *
     * @return Whether the repeatedNumeric field is set.
     */
    boolean hasRepeatedNumeric();
    /**
     * <code>
     * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericArrayTransformation repeated_numeric = 6;
     * </code>
     *
     * @return The repeatedNumeric.
     */
    com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
            .Transformation.NumericArrayTransformation
        getRepeatedNumeric();
    /**
     * <code>
     * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericArrayTransformation repeated_numeric = 6;
     * </code>
     */
    com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
            .Transformation.NumericArrayTransformationOrBuilder
        getRepeatedNumericOrBuilder();

    /**
     * <code>
     * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalArrayTransformation repeated_categorical = 7;
     * </code>
     *
     * @return Whether the repeatedCategorical field is set.
     */
    boolean hasRepeatedCategorical();
    /**
     * <code>
     * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalArrayTransformation repeated_categorical = 7;
     * </code>
     *
     * @return The repeatedCategorical.
     */
    com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
            .Transformation.CategoricalArrayTransformation
        getRepeatedCategorical();
    /**
     * <code>
     * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalArrayTransformation repeated_categorical = 7;
     * </code>
     */
    com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
            .Transformation.CategoricalArrayTransformationOrBuilder
        getRepeatedCategoricalOrBuilder();

    /**
     * <code>
     * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextArrayTransformation repeated_text = 8;
     * </code>
     *
     * @return Whether the repeatedText field is set.
     */
    boolean hasRepeatedText();
    /**
     * <code>
     * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextArrayTransformation repeated_text = 8;
     * </code>
     *
     * @return The repeatedText.
     */
    com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
            .Transformation.TextArrayTransformation
        getRepeatedText();
    /**
     * <code>
     * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextArrayTransformation repeated_text = 8;
     * </code>
     */
    com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
            .Transformation.TextArrayTransformationOrBuilder
        getRepeatedTextOrBuilder();

    com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
            .Transformation.TransformationDetailCase
        getTransformationDetailCase();
  }
  /**
   * Protobuf type {@code
   * google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation}
   */
  public static final class Transformation extends com.google.protobuf.GeneratedMessageV3
      implements
      // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation)
      TransformationOrBuilder {
    private static final long serialVersionUID = 0L;
    // Use Transformation.newBuilder() to construct.
    private Transformation(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
      super(builder);
    }

    private Transformation() {}

    @java.lang.Override
    @SuppressWarnings({"unused"})
    protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
      return new Transformation();
    }

    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
      return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMLTablesProto
          .internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_descriptor;
    }

    @java.lang.Override
    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
        internalGetFieldAccessorTable() {
      return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMLTablesProto
          .internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_fieldAccessorTable
          .ensureFieldAccessorsInitialized(
              com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                  .Transformation.class,
              com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                  .Transformation.Builder.class);
    }

    public interface AutoTransformationOrBuilder
        extends
        // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.AutoTransformation)
        com.google.protobuf.MessageOrBuilder {

      /**
       * <code>string column_name = 1;</code>
       *
       * @return The columnName.
       */
      java.lang.String getColumnName();
      /**
       * <code>string column_name = 1;</code>
       *
       * @return The bytes for columnName.
       */
      com.google.protobuf.ByteString getColumnNameBytes();
    }
    /**
     *
     *
     * <pre>
     * Training pipeline will infer the proper transformation based on the
     * statistic of dataset.
     * </pre>
     *
     * Protobuf type {@code
     * google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.AutoTransformation}
     */
    public static final class AutoTransformation extends com.google.protobuf.GeneratedMessageV3
        implements
        // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.AutoTransformation)
        AutoTransformationOrBuilder {
      private static final long serialVersionUID = 0L;
      // Use AutoTransformation.newBuilder() to construct.
      private AutoTransformation(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
        super(builder);
      }

      private AutoTransformation() {
        columnName_ = "";
      }

      @java.lang.Override
      @SuppressWarnings({"unused"})
      protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
        return new AutoTransformation();
      }

      public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
        return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMLTablesProto
            .internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_AutoTransformation_descriptor;
      }

      @java.lang.Override
      protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
          internalGetFieldAccessorTable() {
        return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMLTablesProto
            .internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_AutoTransformation_fieldAccessorTable
            .ensureFieldAccessorsInitialized(
                com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                    .Transformation.AutoTransformation.class,
                com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                    .Transformation.AutoTransformation.Builder.class);
      }

      public static final int COLUMN_NAME_FIELD_NUMBER = 1;

      @SuppressWarnings("serial")
      private volatile java.lang.Object columnName_ = "";
      /**
       * <code>string column_name = 1;</code>
       *
       * @return The columnName.
       */
      @java.lang.Override
      public java.lang.String getColumnName() {
        java.lang.Object ref = columnName_;
        if (ref instanceof java.lang.String) {
          return (java.lang.String) ref;
        } else {
          com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
          java.lang.String s = bs.toStringUtf8();
          columnName_ = s;
          return s;
        }
      }
      /**
       * <code>string column_name = 1;</code>
       *
       * @return The bytes for columnName.
       */
      @java.lang.Override
      public com.google.protobuf.ByteString getColumnNameBytes() {
        java.lang.Object ref = columnName_;
        if (ref instanceof java.lang.String) {
          com.google.protobuf.ByteString b =
              com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
          columnName_ = b;
          return b;
        } else {
          return (com.google.protobuf.ByteString) ref;
        }
      }

      private byte memoizedIsInitialized = -1;

      @java.lang.Override
      public final boolean isInitialized() {
        byte isInitialized = memoizedIsInitialized;
        if (isInitialized == 1) return true;
        if (isInitialized == 0) return false;

        memoizedIsInitialized = 1;
        return true;
      }

      @java.lang.Override
      public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
        if (!com.google.protobuf.GeneratedMessageV3.isStringEmpty(columnName_)) {
          com.google.protobuf.GeneratedMessageV3.writeString(output, 1, columnName_);
        }
        getUnknownFields().writeTo(output);
      }

      @java.lang.Override
      public int getSerializedSize() {
        int size = memoizedSize;
        if (size != -1) return size;

        size = 0;
        if (!com.google.protobuf.GeneratedMessageV3.isStringEmpty(columnName_)) {
          size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, columnName_);
        }
        size += getUnknownFields().getSerializedSize();
        memoizedSize = size;
        return size;
      }

      @java.lang.Override
      public boolean equals(final java.lang.Object obj) {
        if (obj == this) {
          return true;
        }
        if (!(obj
            instanceof
            com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                .Transformation.AutoTransformation)) {
          return super.equals(obj);
        }
        com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                .Transformation.AutoTransformation
            other =
                (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                        .AutoMlTablesInputs.Transformation.AutoTransformation)
                    obj;

        if (!getColumnName().equals(other.getColumnName())) return false;
        if (!getUnknownFields().equals(other.getUnknownFields())) return false;
        return true;
      }

      @java.lang.Override
      public int hashCode() {
        if (memoizedHashCode != 0) {
          return memoizedHashCode;
        }
        int hash = 41;
        hash = (19 * hash) + getDescriptor().hashCode();
        hash = (37 * hash) + COLUMN_NAME_FIELD_NUMBER;
        hash = (53 * hash) + getColumnName().hashCode();
        hash = (29 * hash) + getUnknownFields().hashCode();
        memoizedHashCode = hash;
        return hash;
      }

      public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
              .AutoMlTablesInputs.Transformation.AutoTransformation
          parseFrom(java.nio.ByteBuffer data)
              throws com.google.protobuf.InvalidProtocolBufferException {
        return PARSER.parseFrom(data);
      }

      public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
              .AutoMlTablesInputs.Transformation.AutoTransformation
          parseFrom(
              java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
              throws com.google.protobuf.InvalidProtocolBufferException {
        return PARSER.parseFrom(data, extensionRegistry);
      }

      public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
              .AutoMlTablesInputs.Transformation.AutoTransformation
          parseFrom(com.google.protobuf.ByteString data)
              throws com.google.protobuf.InvalidProtocolBufferException {
        return PARSER.parseFrom(data);
      }

      public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
              .AutoMlTablesInputs.Transformation.AutoTransformation
          parseFrom(
              com.google.protobuf.ByteString data,
              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
              throws com.google.protobuf.InvalidProtocolBufferException {
        return PARSER.parseFrom(data, extensionRegistry);
      }

      public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
              .AutoMlTablesInputs.Transformation.AutoTransformation
          parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
        return PARSER.parseFrom(data);
      }

      public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
              .AutoMlTablesInputs.Transformation.AutoTransformation
          parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
              throws com.google.protobuf.InvalidProtocolBufferException {
        return PARSER.parseFrom(data, extensionRegistry);
      }

      public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
              .AutoMlTablesInputs.Transformation.AutoTransformation
          parseFrom(java.io.InputStream input) throws java.io.IOException {
        return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
      }

      public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
              .AutoMlTablesInputs.Transformation.AutoTransformation
          parseFrom(
              java.io.InputStream input,
              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
              throws java.io.IOException {
        return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
            PARSER, input, extensionRegistry);
      }

      public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
              .AutoMlTablesInputs.Transformation.AutoTransformation
          parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
        return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
      }

      public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
              .AutoMlTablesInputs.Transformation.AutoTransformation
          parseDelimitedFrom(
              java.io.InputStream input,
              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
              throws java.io.IOException {
        return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
            PARSER, input, extensionRegistry);
      }

      public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
              .AutoMlTablesInputs.Transformation.AutoTransformation
          parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
        return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
      }

      public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
              .AutoMlTablesInputs.Transformation.AutoTransformation
          parseFrom(
              com.google.protobuf.CodedInputStream input,
              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
              throws java.io.IOException {
        return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
            PARSER, input, extensionRegistry);
      }

      @java.lang.Override
      public Builder newBuilderForType() {
        return newBuilder();
      }

      public static Builder newBuilder() {
        return DEFAULT_INSTANCE.toBuilder();
      }

      public static Builder newBuilder(
          com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                  .Transformation.AutoTransformation
              prototype) {
        return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
      }

      @java.lang.Override
      public Builder toBuilder() {
        return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
      }

      @java.lang.Override
      protected Builder newBuilderForType(
          com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
        Builder builder = new Builder(parent);
        return builder;
      }
      /**
       *
       *
       * <pre>
       * Training pipeline will infer the proper transformation based on the
       * statistic of dataset.
       * </pre>
       *
       * Protobuf type {@code
       * google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.AutoTransformation}
       */
      public static final class Builder
          extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
          implements
          // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.AutoTransformation)
          com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
              .Transformation.AutoTransformationOrBuilder {
        public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
          return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMLTablesProto
              .internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_AutoTransformation_descriptor;
        }

        @java.lang.Override
        protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
            internalGetFieldAccessorTable() {
          return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMLTablesProto
              .internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_AutoTransformation_fieldAccessorTable
              .ensureFieldAccessorsInitialized(
                  com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                      .AutoMlTablesInputs.Transformation.AutoTransformation.class,
                  com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                      .AutoMlTablesInputs.Transformation.AutoTransformation.Builder.class);
        }

        // Construct using
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      }

      // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.AutoTransformation)
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              .AutoMlTablesInputs.Transformation.AutoTransformation
          DEFAULT_INSTANCE;

      static {
        DEFAULT_INSTANCE =
            new com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                .Transformation.AutoTransformation();
      }

      public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
              .AutoMlTablesInputs.Transformation.AutoTransformation
          getDefaultInstance() {
        return DEFAULT_INSTANCE;
      }

      private static final com.google.protobuf.Parser<AutoTransformation> PARSER =
          new com.google.protobuf.AbstractParser<AutoTransformation>() {
            @java.lang.Override
            public AutoTransformation parsePartialFrom(
                com.google.protobuf.CodedInputStream input,
                com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                throws com.google.protobuf.InvalidProtocolBufferException {
              Builder builder = newBuilder();
              try {
                builder.mergeFrom(input, extensionRegistry);
              } catch (com.google.protobuf.InvalidProtocolBufferException e) {
                throw e.setUnfinishedMessage(builder.buildPartial());
              } catch (com.google.protobuf.UninitializedMessageException e) {
                throw e.asInvalidProtocolBufferException()
                    .setUnfinishedMessage(builder.buildPartial());
              } catch (java.io.IOException e) {
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                    .setUnfinishedMessage(builder.buildPartial());
              }
              return builder.buildPartial();
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          };

      public static com.google.protobuf.Parser<AutoTransformation> parser() {
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      }

      @java.lang.Override
      public com.google.protobuf.Parser<AutoTransformation> getParserForType() {
        return PARSER;
      }

      @java.lang.Override
      public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
              .Transformation.AutoTransformation
          getDefaultInstanceForType() {
        return DEFAULT_INSTANCE;
      }
    }

    public interface NumericTransformationOrBuilder
        extends
        // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericTransformation)
        com.google.protobuf.MessageOrBuilder {

      /**
       * <code>string column_name = 1;</code>
       *
       * @return The columnName.
       */
      java.lang.String getColumnName();
      /**
       * <code>string column_name = 1;</code>
       *
       * @return The bytes for columnName.
       */
      com.google.protobuf.ByteString getColumnNameBytes();

      /**
       *
       *
       * <pre>
       * If invalid values is allowed, the training pipeline will create a
       * boolean feature that indicated whether the value is valid.
       * Otherwise, the training pipeline will discard the input row from
       * trainining data.
       * </pre>
       *
       * <code>bool invalid_values_allowed = 2;</code>
       *
       * @return The invalidValuesAllowed.
       */
      boolean getInvalidValuesAllowed();
    }
    /**
     *
     *
     * <pre>
     * Training pipeline will perform following transformation functions.
     * *  The value converted to float32.
     * *  The z_score of the value.
     * *  log(value+1) when the value is greater than or equal to 0. Otherwise,
     *    this transformation is not applied and the value is considered a
     *    missing value.
     * *  z_score of log(value+1) when the value is greater than or equal to 0.
     *    Otherwise, this transformation is not applied and the value is
     *    considered a missing value.
     * *  A boolean value that indicates whether the value is valid.
     * </pre>
     *
     * Protobuf type {@code
     * google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericTransformation}
     */
    public static final class NumericTransformation extends com.google.protobuf.GeneratedMessageV3
        implements
        // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericTransformation)
        NumericTransformationOrBuilder {
      private static final long serialVersionUID = 0L;
      // Use NumericTransformation.newBuilder() to construct.
      private NumericTransformation(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
        super(builder);
      }

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        columnName_ = "";
      }

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      @SuppressWarnings({"unused"})
      protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
        return new NumericTransformation();
      }

      public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
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            .internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_NumericTransformation_descriptor;
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       *
       * <pre>
       * If invalid values is allowed, the training pipeline will create a
       * boolean feature that indicated whether the value is valid.
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       * </pre>
       *
       * <code>bool invalid_values_allowed = 2;</code>
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        if (getInvalidValuesAllowed() != other.getInvalidValuesAllowed()) return false;
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      public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
              .AutoMlTablesInputs.Transformation.NumericTransformation
          parseFrom(java.nio.ByteBuffer data)
              throws com.google.protobuf.InvalidProtocolBufferException {
        return PARSER.parseFrom(data);
      }

      public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
              .AutoMlTablesInputs.Transformation.NumericTransformation
          parseFrom(
              java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
              throws com.google.protobuf.InvalidProtocolBufferException {
        return PARSER.parseFrom(data, extensionRegistry);
      }

      public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
              .AutoMlTablesInputs.Transformation.NumericTransformation
          parseFrom(com.google.protobuf.ByteString data)
              throws com.google.protobuf.InvalidProtocolBufferException {
        return PARSER.parseFrom(data);
      }

      public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
              .AutoMlTablesInputs.Transformation.NumericTransformation
          parseFrom(
              com.google.protobuf.ByteString data,
              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
              throws com.google.protobuf.InvalidProtocolBufferException {
        return PARSER.parseFrom(data, extensionRegistry);
      }

      public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
              .AutoMlTablesInputs.Transformation.NumericTransformation
          parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
        return PARSER.parseFrom(data);
      }

      public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
              .AutoMlTablesInputs.Transformation.NumericTransformation
          parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
              throws com.google.protobuf.InvalidProtocolBufferException {
        return PARSER.parseFrom(data, extensionRegistry);
      }

      public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
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          parseFrom(java.io.InputStream input) throws java.io.IOException {
        return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
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      public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
              .AutoMlTablesInputs.Transformation.NumericTransformation
          parseFrom(
              java.io.InputStream input,
              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
              throws java.io.IOException {
        return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
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      public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
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          parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
        return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
      }

      public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
              .AutoMlTablesInputs.Transformation.NumericTransformation
          parseDelimitedFrom(
              java.io.InputStream input,
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              throws java.io.IOException {
        return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
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      }

      public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
              .AutoMlTablesInputs.Transformation.NumericTransformation
          parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
        return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
      }

      public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
              .AutoMlTablesInputs.Transformation.NumericTransformation
          parseFrom(
              com.google.protobuf.CodedInputStream input,
              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
              throws java.io.IOException {
        return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
            PARSER, input, extensionRegistry);
      }

      @java.lang.Override
      public Builder newBuilderForType() {
        return newBuilder();
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      public static Builder newBuilder() {
        return DEFAULT_INSTANCE.toBuilder();
      }

      public static Builder newBuilder(
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                  .Transformation.NumericTransformation
              prototype) {
        return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
      }

      @java.lang.Override
      public Builder toBuilder() {
        return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
      }

      @java.lang.Override
      protected Builder newBuilderForType(
          com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
        Builder builder = new Builder(parent);
        return builder;
      }
      /**
       *
       *
       * <pre>
       * Training pipeline will perform following transformation functions.
       * *  The value converted to float32.
       * *  The z_score of the value.
       * *  log(value+1) when the value is greater than or equal to 0. Otherwise,
       *    this transformation is not applied and the value is considered a
       *    missing value.
       * *  z_score of log(value+1) when the value is greater than or equal to 0.
       *    Otherwise, this transformation is not applied and the value is
       *    considered a missing value.
       * *  A boolean value that indicates whether the value is valid.
       * </pre>
       *
       * Protobuf type {@code
       * google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericTransformation}
       */
      public static final class Builder
          extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
          implements
          // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericTransformation)
          com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
              .Transformation.NumericTransformationOrBuilder {
        public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
          return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMLTablesProto
              .internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_NumericTransformation_descriptor;
        }

        @java.lang.Override
        protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
            internalGetFieldAccessorTable() {
          return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMLTablesProto
              .internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_NumericTransformation_fieldAccessorTable
              .ensureFieldAccessorsInitialized(
                  com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                      .AutoMlTablesInputs.Transformation.NumericTransformation.class,
                  com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                      .AutoMlTablesInputs.Transformation.NumericTransformation.Builder.class);
        }

        // Construct using
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         *
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         * </pre>
         *
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         *
         * <pre>
         * If invalid values is allowed, the training pipeline will create a
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         * </pre>
         *
         * <code>bool invalid_values_allowed = 2;</code>
         *
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      }

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              .AutoMlTablesInputs.Transformation.NumericTransformation
          DEFAULT_INSTANCE;

      static {
        DEFAULT_INSTANCE =
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                .Transformation.NumericTransformation();
      }

      public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
              .AutoMlTablesInputs.Transformation.NumericTransformation
          getDefaultInstance() {
        return DEFAULT_INSTANCE;
      }

      private static final com.google.protobuf.Parser<NumericTransformation> PARSER =
          new com.google.protobuf.AbstractParser<NumericTransformation>() {
            @java.lang.Override
            public NumericTransformation parsePartialFrom(
                com.google.protobuf.CodedInputStream input,
                com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                throws com.google.protobuf.InvalidProtocolBufferException {
              Builder builder = newBuilder();
              try {
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              } catch (com.google.protobuf.InvalidProtocolBufferException e) {
                throw e.setUnfinishedMessage(builder.buildPartial());
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              }
              return builder.buildPartial();
            }
          };

      public static com.google.protobuf.Parser<NumericTransformation> parser() {
        return PARSER;
      }

      @java.lang.Override
      public com.google.protobuf.Parser<NumericTransformation> getParserForType() {
        return PARSER;
      }

      @java.lang.Override
      public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
              .Transformation.NumericTransformation
          getDefaultInstanceForType() {
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      }
    }

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        com.google.protobuf.MessageOrBuilder {

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      /**
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    /**
     *
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     * spelling,
     *    tense, and so on.
     * *  Convert the category name to a dictionary lookup index and generate an
     *    embedding for each index.
     * *  Categories that appear less than 5 times in the training dataset are
     *    treated as the "unknown" category. The "unknown" category gets its own
     *    special lookup index and resulting embedding.
     * </pre>
     *
     * Protobuf type {@code
     * google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalTransformation}
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      protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
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          parseFrom(
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          parseFrom(com.google.protobuf.ByteString data)
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      public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
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          parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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      public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
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        return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
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      public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
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      public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
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          parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
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      public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
              .AutoMlTablesInputs.Transformation.CategoricalTransformation
          parseFrom(
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              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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      public static Builder newBuilder(
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                  .Transformation.CategoricalTransformation
              prototype) {
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      }

      @java.lang.Override
      public Builder toBuilder() {
        return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
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      @java.lang.Override
      protected Builder newBuilderForType(
          com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
        Builder builder = new Builder(parent);
        return builder;
      }
      /**
       *
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       * <pre>
       * Training pipeline will perform following transformation functions.
       * *  The categorical string as is--no change to case, punctuation,
       * spelling,
       *    tense, and so on.
       * *  Convert the category name to a dictionary lookup index and generate an
       *    embedding for each index.
       * *  Categories that appear less than 5 times in the training dataset are
       *    treated as the "unknown" category. The "unknown" category gets its own
       *    special lookup index and resulting embedding.
       * </pre>
       *
       * Protobuf type {@code
       * google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalTransformation}
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          implements
          // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalTransformation)
          com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
              .Transformation.CategoricalTransformationOrBuilder {
        public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
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        @java.lang.Override
        protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
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        // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalTransformation)
      }

      // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalTransformation)
      private static final com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
              .AutoMlTablesInputs.Transformation.CategoricalTransformation
          DEFAULT_INSTANCE;

      static {
        DEFAULT_INSTANCE =
            new com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                .Transformation.CategoricalTransformation();
      }

      public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
              .AutoMlTablesInputs.Transformation.CategoricalTransformation
          getDefaultInstance() {
        return DEFAULT_INSTANCE;
      }

      private static final com.google.protobuf.Parser<CategoricalTransformation> PARSER =
          new com.google.protobuf.AbstractParser<CategoricalTransformation>() {
            @java.lang.Override
            public CategoricalTransformation parsePartialFrom(
                com.google.protobuf.CodedInputStream input,
                com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                throws com.google.protobuf.InvalidProtocolBufferException {
              Builder builder = newBuilder();
              try {
                builder.mergeFrom(input, extensionRegistry);
              } catch (com.google.protobuf.InvalidProtocolBufferException e) {
                throw e.setUnfinishedMessage(builder.buildPartial());
              } catch (com.google.protobuf.UninitializedMessageException e) {
                throw e.asInvalidProtocolBufferException()
                    .setUnfinishedMessage(builder.buildPartial());
              } catch (java.io.IOException e) {
                throw new com.google.protobuf.InvalidProtocolBufferException(e)
                    .setUnfinishedMessage(builder.buildPartial());
              }
              return builder.buildPartial();
            }
          };

      public static com.google.protobuf.Parser<CategoricalTransformation> parser() {
        return PARSER;
      }

      @java.lang.Override
      public com.google.protobuf.Parser<CategoricalTransformation> getParserForType() {
        return PARSER;
      }

      @java.lang.Override
      public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
              .Transformation.CategoricalTransformation
          getDefaultInstanceForType() {
        return DEFAULT_INSTANCE;
      }
    }

    public interface TimestampTransformationOrBuilder
        extends
        // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TimestampTransformation)
        com.google.protobuf.MessageOrBuilder {

      /**
       * <code>string column_name = 1;</code>
       *
       * @return The columnName.
       */
      java.lang.String getColumnName();
      /**
       * <code>string column_name = 1;</code>
       *
       * @return The bytes for columnName.
       */
      com.google.protobuf.ByteString getColumnNameBytes();

      /**
       *
       *
       * <pre>
       * The format in which that time field is expressed. The time_format must
       * either be one of:
       * * `unix-seconds`
       * * `unix-milliseconds`
       * * `unix-microseconds`
       * * `unix-nanoseconds`
       * (for respectively number of seconds, milliseconds, microseconds and
       * nanoseconds since start of the Unix epoch);
       * or be written in `strftime` syntax. If time_format is not set, then the
       * default format is RFC 3339 `date-time` format, where
       * `time-offset` = `"Z"` (e.g. 1985-04-12T23:20:50.52Z)
       * </pre>
       *
       * <code>string time_format = 2;</code>
       *
       * @return The timeFormat.
       */
      java.lang.String getTimeFormat();
      /**
       *
       *
       * <pre>
       * The format in which that time field is expressed. The time_format must
       * either be one of:
       * * `unix-seconds`
       * * `unix-milliseconds`
       * * `unix-microseconds`
       * * `unix-nanoseconds`
       * (for respectively number of seconds, milliseconds, microseconds and
       * nanoseconds since start of the Unix epoch);
       * or be written in `strftime` syntax. If time_format is not set, then the
       * default format is RFC 3339 `date-time` format, where
       * `time-offset` = `"Z"` (e.g. 1985-04-12T23:20:50.52Z)
       * </pre>
       *
       * <code>string time_format = 2;</code>
       *
       * @return The bytes for timeFormat.
       */
      com.google.protobuf.ByteString getTimeFormatBytes();

      /**
       *
       *
       * <pre>
       * If invalid values is allowed, the training pipeline will create a
       * boolean feature that indicated whether the value is valid.
       * Otherwise, the training pipeline will discard the input row from
       * trainining data.
       * </pre>
       *
       * <code>bool invalid_values_allowed = 3;</code>
       *
       * @return The invalidValuesAllowed.
       */
      boolean getInvalidValuesAllowed();
    }
    /**
     *
     *
     * <pre>
     * Training pipeline will perform following transformation functions.
     * *  Apply the transformation functions for Numerical columns.
     * *  Determine the year, month, day,and weekday. Treat each value from the
     * *  timestamp as a Categorical column.
     * *  Invalid numerical values (for example, values that fall outside of a
     *    typical timestamp range, or are extreme values) receive no special
     *    treatment and are not removed.
     * </pre>
     *
     * Protobuf type {@code
     * google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TimestampTransformation}
     */
    public static final class TimestampTransformation extends com.google.protobuf.GeneratedMessageV3
        implements
        // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TimestampTransformation)
        TimestampTransformationOrBuilder {
      private static final long serialVersionUID = 0L;
      // Use TimestampTransformation.newBuilder() to construct.
      private TimestampTransformation(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
        super(builder);
      }

      private TimestampTransformation() {
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        timeFormat_ = "";
      }

      @java.lang.Override
      @SuppressWarnings({"unused"})
      protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
        return new TimestampTransformation();
      }

      public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
        return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMLTablesProto
            .internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_TimestampTransformation_descriptor;
      }

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      public static final int COLUMN_NAME_FIELD_NUMBER = 1;

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       * <code>string column_name = 1;</code>
       *
       * @return The columnName.
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          columnName_ = s;
          return s;
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       * @return The bytes for columnName.
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      public com.google.protobuf.ByteString getColumnNameBytes() {
        java.lang.Object ref = columnName_;
        if (ref instanceof java.lang.String) {
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          columnName_ = b;
          return b;
        } else {
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      public static final int TIME_FORMAT_FIELD_NUMBER = 2;

      @SuppressWarnings("serial")
      private volatile java.lang.Object timeFormat_ = "";
      /**
       *
       *
       * <pre>
       * The format in which that time field is expressed. The time_format must
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       * * `unix-seconds`
       * * `unix-milliseconds`
       * * `unix-microseconds`
       * * `unix-nanoseconds`
       * (for respectively number of seconds, milliseconds, microseconds and
       * nanoseconds since start of the Unix epoch);
       * or be written in `strftime` syntax. If time_format is not set, then the
       * default format is RFC 3339 `date-time` format, where
       * `time-offset` = `"Z"` (e.g. 1985-04-12T23:20:50.52Z)
       * </pre>
       *
       * <code>string time_format = 2;</code>
       *
       * @return The timeFormat.
       */
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          timeFormat_ = s;
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       *
       *
       * <pre>
       * The format in which that time field is expressed. The time_format must
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       * * `unix-seconds`
       * * `unix-milliseconds`
       * * `unix-microseconds`
       * * `unix-nanoseconds`
       * (for respectively number of seconds, milliseconds, microseconds and
       * nanoseconds since start of the Unix epoch);
       * or be written in `strftime` syntax. If time_format is not set, then the
       * default format is RFC 3339 `date-time` format, where
       * `time-offset` = `"Z"` (e.g. 1985-04-12T23:20:50.52Z)
       * </pre>
       *
       * <code>string time_format = 2;</code>
       *
       * @return The bytes for timeFormat.
       */
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      private boolean invalidValuesAllowed_ = false;
      /**
       *
       *
       * <pre>
       * If invalid values is allowed, the training pipeline will create a
       * boolean feature that indicated whether the value is valid.
       * Otherwise, the training pipeline will discard the input row from
       * trainining data.
       * </pre>
       *
       * <code>bool invalid_values_allowed = 3;</code>
       *
       * @return The invalidValuesAllowed.
       */
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        if (invalidValuesAllowed_ != false) {
          output.writeBool(3, invalidValuesAllowed_);
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        getUnknownFields().writeTo(output);
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        int size = memoizedSize;
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        size = 0;
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        size += getUnknownFields().getSerializedSize();
        memoizedSize = size;
        return size;
      }

      @java.lang.Override
      public boolean equals(final java.lang.Object obj) {
        if (obj == this) {
          return true;
        }
        if (!(obj
            instanceof
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                .Transformation.TimestampTransformation)) {
          return super.equals(obj);
        }
        com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                .Transformation.TimestampTransformation
            other =
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                        .AutoMlTablesInputs.Transformation.TimestampTransformation)
                    obj;

        if (!getColumnName().equals(other.getColumnName())) return false;
        if (!getTimeFormat().equals(other.getTimeFormat())) return false;
        if (getInvalidValuesAllowed() != other.getInvalidValuesAllowed()) return false;
        if (!getUnknownFields().equals(other.getUnknownFields())) return false;
        return true;
      }

      @java.lang.Override
      public int hashCode() {
        if (memoizedHashCode != 0) {
          return memoizedHashCode;
        }
        int hash = 41;
        hash = (19 * hash) + getDescriptor().hashCode();
        hash = (37 * hash) + COLUMN_NAME_FIELD_NUMBER;
        hash = (53 * hash) + getColumnName().hashCode();
        hash = (37 * hash) + TIME_FORMAT_FIELD_NUMBER;
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        hash = (29 * hash) + getUnknownFields().hashCode();
        memoizedHashCode = hash;
        return hash;
      }

      public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
              .AutoMlTablesInputs.Transformation.TimestampTransformation
          parseFrom(java.nio.ByteBuffer data)
              throws com.google.protobuf.InvalidProtocolBufferException {
        return PARSER.parseFrom(data);
      }

      public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
              .AutoMlTablesInputs.Transformation.TimestampTransformation
          parseFrom(
              java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
              throws com.google.protobuf.InvalidProtocolBufferException {
        return PARSER.parseFrom(data, extensionRegistry);
      }

      public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
              .AutoMlTablesInputs.Transformation.TimestampTransformation
          parseFrom(com.google.protobuf.ByteString data)
              throws com.google.protobuf.InvalidProtocolBufferException {
        return PARSER.parseFrom(data);
      }

      public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
              .AutoMlTablesInputs.Transformation.TimestampTransformation
          parseFrom(
              com.google.protobuf.ByteString data,
              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
              throws com.google.protobuf.InvalidProtocolBufferException {
        return PARSER.parseFrom(data, extensionRegistry);
      }

      public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
              .AutoMlTablesInputs.Transformation.TimestampTransformation
          parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
        return PARSER.parseFrom(data);
      }

      public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
              .AutoMlTablesInputs.Transformation.TimestampTransformation
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      public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
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       * *  timestamp as a Categorical column.
       * *  Invalid numerical values (for example, values that fall outside of a
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       * </pre>
       *
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         * * `unix-microseconds`
         * * `unix-nanoseconds`
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         *
         *
         * <pre>
         * The format in which that time field is expressed. The time_format must
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         * * `unix-milliseconds`
         * * `unix-microseconds`
         * * `unix-nanoseconds`
         * (for respectively number of seconds, milliseconds, microseconds and
         * nanoseconds since start of the Unix epoch);
         * or be written in `strftime` syntax. If time_format is not set, then the
         * default format is RFC 3339 `date-time` format, where
         * `time-offset` = `"Z"` (e.g. 1985-04-12T23:20:50.52Z)
         * </pre>
         *
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          }
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        /**
         *
         *
         * <pre>
         * The format in which that time field is expressed. The time_format must
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         * * `unix-seconds`
         * * `unix-milliseconds`
         * * `unix-microseconds`
         * * `unix-nanoseconds`
         * (for respectively number of seconds, milliseconds, microseconds and
         * nanoseconds since start of the Unix epoch);
         * or be written in `strftime` syntax. If time_format is not set, then the
         * default format is RFC 3339 `date-time` format, where
         * `time-offset` = `"Z"` (e.g. 1985-04-12T23:20:50.52Z)
         * </pre>
         *
         * <code>string time_format = 2;</code>
         *
         * @param value The timeFormat to set.
         * @return This builder for chaining.
         */
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          if (value == null) {
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          }
          timeFormat_ = value;
          bitField0_ |= 0x00000002;
          onChanged();
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        /**
         *
         *
         * <pre>
         * The format in which that time field is expressed. The time_format must
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         * * `unix-seconds`
         * * `unix-milliseconds`
         * * `unix-microseconds`
         * * `unix-nanoseconds`
         * (for respectively number of seconds, milliseconds, microseconds and
         * nanoseconds since start of the Unix epoch);
         * or be written in `strftime` syntax. If time_format is not set, then the
         * default format is RFC 3339 `date-time` format, where
         * `time-offset` = `"Z"` (e.g. 1985-04-12T23:20:50.52Z)
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         * The format in which that time field is expressed. The time_format must
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         * * `unix-milliseconds`
         * * `unix-microseconds`
         * * `unix-nanoseconds`
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         *
         * <code>bool invalid_values_allowed = 3;</code>
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         *
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         *
         * <code>bool invalid_values_allowed = 3;</code>
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         *
         *
         * <pre>
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        // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TimestampTransformation)
      }

      // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TimestampTransformation)
      private static final com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
              .AutoMlTablesInputs.Transformation.TimestampTransformation
          DEFAULT_INSTANCE;

      static {
        DEFAULT_INSTANCE =
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                .Transformation.TimestampTransformation();
      }

      public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
              .AutoMlTablesInputs.Transformation.TimestampTransformation
          getDefaultInstance() {
        return DEFAULT_INSTANCE;
      }

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            @java.lang.Override
            public TimestampTransformation parsePartialFrom(
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                com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                throws com.google.protobuf.InvalidProtocolBufferException {
              Builder builder = newBuilder();
              try {
                builder.mergeFrom(input, extensionRegistry);
              } catch (com.google.protobuf.InvalidProtocolBufferException e) {
                throw e.setUnfinishedMessage(builder.buildPartial());
              } catch (com.google.protobuf.UninitializedMessageException e) {
                throw e.asInvalidProtocolBufferException()
                    .setUnfinishedMessage(builder.buildPartial());
              } catch (java.io.IOException e) {
                throw new com.google.protobuf.InvalidProtocolBufferException(e)
                    .setUnfinishedMessage(builder.buildPartial());
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              return builder.buildPartial();
            }
          };

      public static com.google.protobuf.Parser<TimestampTransformation> parser() {
        return PARSER;
      }

      @java.lang.Override
      public com.google.protobuf.Parser<TimestampTransformation> getParserForType() {
        return PARSER;
      }

      @java.lang.Override
      public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
              .Transformation.TimestampTransformation
          getDefaultInstanceForType() {
        return DEFAULT_INSTANCE;
      }
    }

    public interface TextTransformationOrBuilder
        extends
        // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextTransformation)
        com.google.protobuf.MessageOrBuilder {

      /**
       * <code>string column_name = 1;</code>
       *
       * @return The columnName.
       */
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      /**
       * <code>string column_name = 1;</code>
       *
       * @return The bytes for columnName.
       */
      com.google.protobuf.ByteString getColumnNameBytes();
    }
    /**
     *
     *
     * <pre>
     * Training pipeline will perform following transformation functions.
     * *  The text as is--no change to case, punctuation, spelling, tense, and
     * so
     *    on.
     * *  Tokenize text to words. Convert each words to a dictionary lookup
     * index
     *    and generate an embedding for each index. Combine the embedding of all
     *    elements into a single embedding using the mean.
     * *  Tokenization is based on unicode script boundaries.
     * *  Missing values get their own lookup index and resulting embedding.
     * *  Stop-words receive no special treatment and are not removed.
     * </pre>
     *
     * Protobuf type {@code
     * google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextTransformation}
     */
    public static final class TextTransformation extends com.google.protobuf.GeneratedMessageV3
        implements
        // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextTransformation)
        TextTransformationOrBuilder {
      private static final long serialVersionUID = 0L;
      // Use TextTransformation.newBuilder() to construct.
      private TextTransformation(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
        super(builder);
      }

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        columnName_ = "";
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        com.google.protobuf.MessageOrBuilder {

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       *
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      /**
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       *
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       *
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       *
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    }
    /**
     *
     *
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     *
     * Protobuf type {@code
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      @SuppressWarnings({"unused"})
      protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
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          getDefaultInstance() {
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      }

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            public NumericArrayTransformation parsePartialFrom(
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                com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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              Builder builder = newBuilder();
              try {
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        return PARSER;
      }

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      }

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      }
    }

    public interface CategoricalArrayTransformationOrBuilder
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        com.google.protobuf.MessageOrBuilder {

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    /**
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     *    lookup index and generate an embedding for each index.
     *    Combine the embedding of all elements into a single embedding using
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     * *  Empty arrays treated as an embedding of zeroes.
     * </pre>
     *
     * Protobuf type {@code
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     *
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      public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
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          parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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       *
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        // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextArrayTransformation)
      }

      // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextArrayTransformation)
      private static final com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
              .AutoMlTablesInputs.Transformation.TextArrayTransformation
          DEFAULT_INSTANCE;

      static {
        DEFAULT_INSTANCE =
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                .Transformation.TextArrayTransformation();
      }

      public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
              .AutoMlTablesInputs.Transformation.TextArrayTransformation
          getDefaultInstance() {
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      }

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                com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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              Builder builder = newBuilder();
              try {
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      }
    }

    private int transformationDetailCase_ = 0;

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    private java.lang.Object transformationDetail_;

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      NUMERIC(2),
      CATEGORICAL(3),
      TIMESTAMP(4),
      TEXT(5),
      REPEATED_NUMERIC(6),
      REPEATED_CATEGORICAL(7),
      REPEATED_TEXT(8),
      TRANSFORMATIONDETAIL_NOT_SET(0);
      private final int value;

      private TransformationDetailCase(int value) {
        this.value = value;
      }
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       * @param value The number of the enum to look for.
       * @return The enum associated with the given number.
       * @deprecated Use {@link #forNumber(int)} instead.
       */
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      public static TransformationDetailCase valueOf(int value) {
        return forNumber(value);
      }

      public static TransformationDetailCase forNumber(int value) {
        switch (value) {
          case 1:
            return AUTO;
          case 2:
            return NUMERIC;
          case 3:
            return CATEGORICAL;
          case 4:
            return TIMESTAMP;
          case 5:
            return TEXT;
          case 6:
            return REPEATED_NUMERIC;
          case 7:
            return REPEATED_CATEGORICAL;
          case 8:
            return REPEATED_TEXT;
          case 0:
            return TRANSFORMATIONDETAIL_NOT_SET;
          default:
            return null;
        }
      }

      public int getNumber() {
        return this.value;
      }
    };

    public TransformationDetailCase getTransformationDetailCase() {
      return TransformationDetailCase.forNumber(transformationDetailCase_);
    }

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    /**
     * <code>
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     * </code>
     *
     * @return Whether the auto field is set.
     */
    @java.lang.Override
    public boolean hasAuto() {
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    }
    /**
     * <code>
     * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.AutoTransformation auto = 1;
     * </code>
     *
     * @return The auto.
     */
    @java.lang.Override
    public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
            .Transformation.AutoTransformation
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        return (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
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            transformationDetail_;
      }
      return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
          .Transformation.AutoTransformation.getDefaultInstance();
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    /**
     * <code>
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     * </code>
     */
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    public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
            .Transformation.AutoTransformationOrBuilder
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        return (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
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            transformationDetail_;
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    public static final int NUMERIC_FIELD_NUMBER = 2;
    /**
     * <code>
     * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericTransformation numeric = 2;
     * </code>
     *
     * @return Whether the numeric field is set.
     */
    @java.lang.Override
    public boolean hasNumeric() {
      return transformationDetailCase_ == 2;
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    /**
     * <code>
     * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericTransformation numeric = 2;
     * </code>
     *
     * @return The numeric.
     */
    @java.lang.Override
    public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
            .Transformation.NumericTransformation
        getNumeric() {
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        return (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                .Transformation.NumericTransformation)
            transformationDetail_;
      }
      return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
          .Transformation.NumericTransformation.getDefaultInstance();
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    /**
     * <code>
     * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericTransformation numeric = 2;
     * </code>
     */
    @java.lang.Override
    public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
            .Transformation.NumericTransformationOrBuilder
        getNumericOrBuilder() {
      if (transformationDetailCase_ == 2) {
        return (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                .Transformation.NumericTransformation)
            transformationDetail_;
      }
      return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
          .Transformation.NumericTransformation.getDefaultInstance();
    }

    public static final int CATEGORICAL_FIELD_NUMBER = 3;
    /**
     * <code>
     * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalTransformation categorical = 3;
     * </code>
     *
     * @return Whether the categorical field is set.
     */
    @java.lang.Override
    public boolean hasCategorical() {
      return transformationDetailCase_ == 3;
    }
    /**
     * <code>
     * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalTransformation categorical = 3;
     * </code>
     *
     * @return The categorical.
     */
    @java.lang.Override
    public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
            .Transformation.CategoricalTransformation
        getCategorical() {
      if (transformationDetailCase_ == 3) {
        return (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                .Transformation.CategoricalTransformation)
            transformationDetail_;
      }
      return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
          .Transformation.CategoricalTransformation.getDefaultInstance();
    }
    /**
     * <code>
     * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalTransformation categorical = 3;
     * </code>
     */
    @java.lang.Override
    public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
            .Transformation.CategoricalTransformationOrBuilder
        getCategoricalOrBuilder() {
      if (transformationDetailCase_ == 3) {
        return (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                .Transformation.CategoricalTransformation)
            transformationDetail_;
      }
      return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
          .Transformation.CategoricalTransformation.getDefaultInstance();
    }

    public static final int TIMESTAMP_FIELD_NUMBER = 4;
    /**
     * <code>
     * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TimestampTransformation timestamp = 4;
     * </code>
     *
     * @return Whether the timestamp field is set.
     */
    @java.lang.Override
    public boolean hasTimestamp() {
      return transformationDetailCase_ == 4;
    }
    /**
     * <code>
     * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TimestampTransformation timestamp = 4;
     * </code>
     *
     * @return The timestamp.
     */
    @java.lang.Override
    public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
            .Transformation.TimestampTransformation
        getTimestamp() {
      if (transformationDetailCase_ == 4) {
        return (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                .Transformation.TimestampTransformation)
            transformationDetail_;
      }
      return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
          .Transformation.TimestampTransformation.getDefaultInstance();
    }
    /**
     * <code>
     * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TimestampTransformation timestamp = 4;
     * </code>
     */
    @java.lang.Override
    public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
            .Transformation.TimestampTransformationOrBuilder
        getTimestampOrBuilder() {
      if (transformationDetailCase_ == 4) {
        return (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                .Transformation.TimestampTransformation)
            transformationDetail_;
      }
      return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
          .Transformation.TimestampTransformation.getDefaultInstance();
    }

    public static final int TEXT_FIELD_NUMBER = 5;
    /**
     * <code>
     * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextTransformation text = 5;
     * </code>
     *
     * @return Whether the text field is set.
     */
    @java.lang.Override
    public boolean hasText() {
      return transformationDetailCase_ == 5;
    }
    /**
     * <code>
     * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextTransformation text = 5;
     * </code>
     *
     * @return The text.
     */
    @java.lang.Override
    public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
            .Transformation.TextTransformation
        getText() {
      if (transformationDetailCase_ == 5) {
        return (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                .Transformation.TextTransformation)
            transformationDetail_;
      }
      return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
          .Transformation.TextTransformation.getDefaultInstance();
    }
    /**
     * <code>
     * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextTransformation text = 5;
     * </code>
     */
    @java.lang.Override
    public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
            .Transformation.TextTransformationOrBuilder
        getTextOrBuilder() {
      if (transformationDetailCase_ == 5) {
        return (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                .Transformation.TextTransformation)
            transformationDetail_;
      }
      return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
          .Transformation.TextTransformation.getDefaultInstance();
    }

    public static final int REPEATED_NUMERIC_FIELD_NUMBER = 6;
    /**
     * <code>
     * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericArrayTransformation repeated_numeric = 6;
     * </code>
     *
     * @return Whether the repeatedNumeric field is set.
     */
    @java.lang.Override
    public boolean hasRepeatedNumeric() {
      return transformationDetailCase_ == 6;
    }
    /**
     * <code>
     * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericArrayTransformation repeated_numeric = 6;
     * </code>
     *
     * @return The repeatedNumeric.
     */
    @java.lang.Override
    public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
            .Transformation.NumericArrayTransformation
        getRepeatedNumeric() {
      if (transformationDetailCase_ == 6) {
        return (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                .Transformation.NumericArrayTransformation)
            transformationDetail_;
      }
      return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
          .Transformation.NumericArrayTransformation.getDefaultInstance();
    }
    /**
     * <code>
     * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericArrayTransformation repeated_numeric = 6;
     * </code>
     */
    @java.lang.Override
    public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
            .Transformation.NumericArrayTransformationOrBuilder
        getRepeatedNumericOrBuilder() {
      if (transformationDetailCase_ == 6) {
        return (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                .Transformation.NumericArrayTransformation)
            transformationDetail_;
      }
      return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
          .Transformation.NumericArrayTransformation.getDefaultInstance();
    }

    public static final int REPEATED_CATEGORICAL_FIELD_NUMBER = 7;
    /**
     * <code>
     * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalArrayTransformation repeated_categorical = 7;
     * </code>
     *
     * @return Whether the repeatedCategorical field is set.
     */
    @java.lang.Override
    public boolean hasRepeatedCategorical() {
      return transformationDetailCase_ == 7;
    }
    /**
     * <code>
     * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalArrayTransformation repeated_categorical = 7;
     * </code>
     *
     * @return The repeatedCategorical.
     */
    @java.lang.Override
    public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
            .Transformation.CategoricalArrayTransformation
        getRepeatedCategorical() {
      if (transformationDetailCase_ == 7) {
        return (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                .Transformation.CategoricalArrayTransformation)
            transformationDetail_;
      }
      return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
          .Transformation.CategoricalArrayTransformation.getDefaultInstance();
    }
    /**
     * <code>
     * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalArrayTransformation repeated_categorical = 7;
     * </code>
     */
    @java.lang.Override
    public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
            .Transformation.CategoricalArrayTransformationOrBuilder
        getRepeatedCategoricalOrBuilder() {
      if (transformationDetailCase_ == 7) {
        return (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                .Transformation.CategoricalArrayTransformation)
            transformationDetail_;
      }
      return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
          .Transformation.CategoricalArrayTransformation.getDefaultInstance();
    }

    public static final int REPEATED_TEXT_FIELD_NUMBER = 8;
    /**
     * <code>
     * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextArrayTransformation repeated_text = 8;
     * </code>
     *
     * @return Whether the repeatedText field is set.
     */
    @java.lang.Override
    public boolean hasRepeatedText() {
      return transformationDetailCase_ == 8;
    }
    /**
     * <code>
     * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextArrayTransformation repeated_text = 8;
     * </code>
     *
     * @return The repeatedText.
     */
    @java.lang.Override
    public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
            .Transformation.TextArrayTransformation
        getRepeatedText() {
      if (transformationDetailCase_ == 8) {
        return (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                .Transformation.TextArrayTransformation)
            transformationDetail_;
      }
      return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
          .Transformation.TextArrayTransformation.getDefaultInstance();
    }
    /**
     * <code>
     * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextArrayTransformation repeated_text = 8;
     * </code>
     */
    @java.lang.Override
    public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
            .Transformation.TextArrayTransformationOrBuilder
        getRepeatedTextOrBuilder() {
      if (transformationDetailCase_ == 8) {
        return (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                .Transformation.TextArrayTransformation)
            transformationDetail_;
      }
      return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
          .Transformation.TextArrayTransformation.getDefaultInstance();
    }

    private byte memoizedIsInitialized = -1;

    @java.lang.Override
    public final boolean isInitialized() {
      byte isInitialized = memoizedIsInitialized;
      if (isInitialized == 1) return true;
      if (isInitialized == 0) return false;

      memoizedIsInitialized = 1;
      return true;
    }

    @java.lang.Override
    public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
      if (transformationDetailCase_ == 1) {
        output.writeMessage(
            1,
            (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                    .Transformation.AutoTransformation)
                transformationDetail_);
      }
      if (transformationDetailCase_ == 2) {
        output.writeMessage(
            2,
            (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                    .Transformation.NumericTransformation)
                transformationDetail_);
      }
      if (transformationDetailCase_ == 3) {
        output.writeMessage(
            3,
            (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                    .Transformation.CategoricalTransformation)
                transformationDetail_);
      }
      if (transformationDetailCase_ == 4) {
        output.writeMessage(
            4,
            (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                    .Transformation.TimestampTransformation)
                transformationDetail_);
      }
      if (transformationDetailCase_ == 5) {
        output.writeMessage(
            5,
            (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                    .Transformation.TextTransformation)
                transformationDetail_);
      }
      if (transformationDetailCase_ == 6) {
        output.writeMessage(
            6,
            (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                    .Transformation.NumericArrayTransformation)
                transformationDetail_);
      }
      if (transformationDetailCase_ == 7) {
        output.writeMessage(
            7,
            (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                    .Transformation.CategoricalArrayTransformation)
                transformationDetail_);
      }
      if (transformationDetailCase_ == 8) {
        output.writeMessage(
            8,
            (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                    .Transformation.TextArrayTransformation)
                transformationDetail_);
      }
      getUnknownFields().writeTo(output);
    }

    @java.lang.Override
    public int getSerializedSize() {
      int size = memoizedSize;
      if (size != -1) return size;

      size = 0;
      if (transformationDetailCase_ == 1) {
        size +=
            com.google.protobuf.CodedOutputStream.computeMessageSize(
                1,
                (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                        .AutoMlTablesInputs.Transformation.AutoTransformation)
                    transformationDetail_);
      }
      if (transformationDetailCase_ == 2) {
        size +=
            com.google.protobuf.CodedOutputStream.computeMessageSize(
                2,
                (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                        .AutoMlTablesInputs.Transformation.NumericTransformation)
                    transformationDetail_);
      }
      if (transformationDetailCase_ == 3) {
        size +=
            com.google.protobuf.CodedOutputStream.computeMessageSize(
                3,
                (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                        .AutoMlTablesInputs.Transformation.CategoricalTransformation)
                    transformationDetail_);
      }
      if (transformationDetailCase_ == 4) {
        size +=
            com.google.protobuf.CodedOutputStream.computeMessageSize(
                4,
                (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                        .AutoMlTablesInputs.Transformation.TimestampTransformation)
                    transformationDetail_);
      }
      if (transformationDetailCase_ == 5) {
        size +=
            com.google.protobuf.CodedOutputStream.computeMessageSize(
                5,
                (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                        .AutoMlTablesInputs.Transformation.TextTransformation)
                    transformationDetail_);
      }
      if (transformationDetailCase_ == 6) {
        size +=
            com.google.protobuf.CodedOutputStream.computeMessageSize(
                6,
                (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                        .AutoMlTablesInputs.Transformation.NumericArrayTransformation)
                    transformationDetail_);
      }
      if (transformationDetailCase_ == 7) {
        size +=
            com.google.protobuf.CodedOutputStream.computeMessageSize(
                7,
                (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                        .AutoMlTablesInputs.Transformation.CategoricalArrayTransformation)
                    transformationDetail_);
      }
      if (transformationDetailCase_ == 8) {
        size +=
            com.google.protobuf.CodedOutputStream.computeMessageSize(
                8,
                (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                        .AutoMlTablesInputs.Transformation.TextArrayTransformation)
                    transformationDetail_);
      }
      size += getUnknownFields().getSerializedSize();
      memoizedSize = size;
      return size;
    }

    @java.lang.Override
    public boolean equals(final java.lang.Object obj) {
      if (obj == this) {
        return true;
      }
      if (!(obj
          instanceof
          com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
              .Transformation)) {
        return super.equals(obj);
      }
      com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
              .Transformation
          other =
              (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                      .Transformation)
                  obj;

      if (!getTransformationDetailCase().equals(other.getTransformationDetailCase())) return false;
      switch (transformationDetailCase_) {
        case 1:
          if (!getAuto().equals(other.getAuto())) return false;
          break;
        case 2:
          if (!getNumeric().equals(other.getNumeric())) return false;
          break;
        case 3:
          if (!getCategorical().equals(other.getCategorical())) return false;
          break;
        case 4:
          if (!getTimestamp().equals(other.getTimestamp())) return false;
          break;
        case 5:
          if (!getText().equals(other.getText())) return false;
          break;
        case 6:
          if (!getRepeatedNumeric().equals(other.getRepeatedNumeric())) return false;
          break;
        case 7:
          if (!getRepeatedCategorical().equals(other.getRepeatedCategorical())) return false;
          break;
        case 8:
          if (!getRepeatedText().equals(other.getRepeatedText())) return false;
          break;
        case 0:
        default:
      }
      if (!getUnknownFields().equals(other.getUnknownFields())) return false;
      return true;
    }

    @java.lang.Override
    public int hashCode() {
      if (memoizedHashCode != 0) {
        return memoizedHashCode;
      }
      int hash = 41;
      hash = (19 * hash) + getDescriptor().hashCode();
      switch (transformationDetailCase_) {
        case 1:
          hash = (37 * hash) + AUTO_FIELD_NUMBER;
          hash = (53 * hash) + getAuto().hashCode();
          break;
        case 2:
          hash = (37 * hash) + NUMERIC_FIELD_NUMBER;
          hash = (53 * hash) + getNumeric().hashCode();
          break;
        case 3:
          hash = (37 * hash) + CATEGORICAL_FIELD_NUMBER;
          hash = (53 * hash) + getCategorical().hashCode();
          break;
        case 4:
          hash = (37 * hash) + TIMESTAMP_FIELD_NUMBER;
          hash = (53 * hash) + getTimestamp().hashCode();
          break;
        case 5:
          hash = (37 * hash) + TEXT_FIELD_NUMBER;
          hash = (53 * hash) + getText().hashCode();
          break;
        case 6:
          hash = (37 * hash) + REPEATED_NUMERIC_FIELD_NUMBER;
          hash = (53 * hash) + getRepeatedNumeric().hashCode();
          break;
        case 7:
          hash = (37 * hash) + REPEATED_CATEGORICAL_FIELD_NUMBER;
          hash = (53 * hash) + getRepeatedCategorical().hashCode();
          break;
        case 8:
          hash = (37 * hash) + REPEATED_TEXT_FIELD_NUMBER;
          hash = (53 * hash) + getRepeatedText().hashCode();
          break;
        case 0:
        default:
      }
      hash = (29 * hash) + getUnknownFields().hashCode();
      memoizedHashCode = hash;
      return hash;
    }

    public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
            .AutoMlTablesInputs.Transformation
        parseFrom(java.nio.ByteBuffer data)
            throws com.google.protobuf.InvalidProtocolBufferException {
      return PARSER.parseFrom(data);
    }

    public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
            .AutoMlTablesInputs.Transformation
        parseFrom(
            java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
            throws com.google.protobuf.InvalidProtocolBufferException {
      return PARSER.parseFrom(data, extensionRegistry);
    }

    public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
            .AutoMlTablesInputs.Transformation
        parseFrom(com.google.protobuf.ByteString data)
            throws com.google.protobuf.InvalidProtocolBufferException {
      return PARSER.parseFrom(data);
    }

    public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
            .AutoMlTablesInputs.Transformation
        parseFrom(
            com.google.protobuf.ByteString data,
            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
            throws com.google.protobuf.InvalidProtocolBufferException {
      return PARSER.parseFrom(data, extensionRegistry);
    }

    public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
            .AutoMlTablesInputs.Transformation
        parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
      return PARSER.parseFrom(data);
    }

    public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
            .AutoMlTablesInputs.Transformation
        parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
            throws com.google.protobuf.InvalidProtocolBufferException {
      return PARSER.parseFrom(data, extensionRegistry);
    }

    public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
            .AutoMlTablesInputs.Transformation
        parseFrom(java.io.InputStream input) throws java.io.IOException {
      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
    }

    public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
            .AutoMlTablesInputs.Transformation
        parseFrom(
            java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
            throws java.io.IOException {
      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
          PARSER, input, extensionRegistry);
    }

    public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
            .AutoMlTablesInputs.Transformation
        parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
      return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
    }

    public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
            .AutoMlTablesInputs.Transformation
        parseDelimitedFrom(
            java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
            throws java.io.IOException {
      return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
          PARSER, input, extensionRegistry);
    }

    public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
            .AutoMlTablesInputs.Transformation
        parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
    }

    public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
            .AutoMlTablesInputs.Transformation
        parseFrom(
            com.google.protobuf.CodedInputStream input,
            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
            throws java.io.IOException {
      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
          PARSER, input, extensionRegistry);
    }

    @java.lang.Override
    public Builder newBuilderForType() {
      return newBuilder();
    }

    public static Builder newBuilder() {
      return DEFAULT_INSTANCE.toBuilder();
    }

    public static Builder newBuilder(
        com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                .Transformation
            prototype) {
      return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
    }

    @java.lang.Override
    public Builder toBuilder() {
      return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
    }

    @java.lang.Override
    protected Builder newBuilderForType(
        com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
      Builder builder = new Builder(parent);
      return builder;
    }
    /**
     * Protobuf type {@code
     * google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation}
     */
    public static final class Builder
        extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
        implements
        // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation)
        com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
            .TransformationOrBuilder {
      public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
        return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMLTablesProto
            .internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_descriptor;
      }

      @java.lang.Override
      protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
          internalGetFieldAccessorTable() {
        return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMLTablesProto
            .internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_fieldAccessorTable
            .ensureFieldAccessorsInitialized(
                com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                    .Transformation.class,
                com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                    .Transformation.Builder.class);
      }

      // Construct using
      // com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.newBuilder()
      private Builder() {}

      private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
        super(parent);
      }

      @java.lang.Override
      public Builder clear() {
        super.clear();
        bitField0_ = 0;
        if (autoBuilder_ != null) {
          autoBuilder_.clear();
        }
        if (numericBuilder_ != null) {
          numericBuilder_.clear();
        }
        if (categoricalBuilder_ != null) {
          categoricalBuilder_.clear();
        }
        if (timestampBuilder_ != null) {
          timestampBuilder_.clear();
        }
        if (textBuilder_ != null) {
          textBuilder_.clear();
        }
        if (repeatedNumericBuilder_ != null) {
          repeatedNumericBuilder_.clear();
        }
        if (repeatedCategoricalBuilder_ != null) {
          repeatedCategoricalBuilder_.clear();
        }
        if (repeatedTextBuilder_ != null) {
          repeatedTextBuilder_.clear();
        }
        transformationDetailCase_ = 0;
        transformationDetail_ = null;
        return this;
      }

      @java.lang.Override
      public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
        return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMLTablesProto
            .internal_static_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_AutoMlTablesInputs_Transformation_descriptor;
      }

      @java.lang.Override
      public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
              .Transformation
          getDefaultInstanceForType() {
        return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
            .Transformation.getDefaultInstance();
      }

      @java.lang.Override
      public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
              .Transformation
          build() {
        com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                .Transformation
            result = buildPartial();
        if (!result.isInitialized()) {
          throw newUninitializedMessageException(result);
        }
        return result;
      }

      @java.lang.Override
      public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
              .Transformation
          buildPartial() {
        com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                .Transformation
            result =
                new com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                    .AutoMlTablesInputs.Transformation(this);
        if (bitField0_ != 0) {
          buildPartial0(result);
        }
        buildPartialOneofs(result);
        onBuilt();
        return result;
      }

      private void buildPartial0(
          com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                  .Transformation
              result) {
        int from_bitField0_ = bitField0_;
      }

      private void buildPartialOneofs(
          com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                  .Transformation
              result) {
        result.transformationDetailCase_ = transformationDetailCase_;
        result.transformationDetail_ = this.transformationDetail_;
        if (transformationDetailCase_ == 1 && autoBuilder_ != null) {
          result.transformationDetail_ = autoBuilder_.build();
        }
        if (transformationDetailCase_ == 2 && numericBuilder_ != null) {
          result.transformationDetail_ = numericBuilder_.build();
        }
        if (transformationDetailCase_ == 3 && categoricalBuilder_ != null) {
          result.transformationDetail_ = categoricalBuilder_.build();
        }
        if (transformationDetailCase_ == 4 && timestampBuilder_ != null) {
          result.transformationDetail_ = timestampBuilder_.build();
        }
        if (transformationDetailCase_ == 5 && textBuilder_ != null) {
          result.transformationDetail_ = textBuilder_.build();
        }
        if (transformationDetailCase_ == 6 && repeatedNumericBuilder_ != null) {
          result.transformationDetail_ = repeatedNumericBuilder_.build();
        }
        if (transformationDetailCase_ == 7 && repeatedCategoricalBuilder_ != null) {
          result.transformationDetail_ = repeatedCategoricalBuilder_.build();
        }
        if (transformationDetailCase_ == 8 && repeatedTextBuilder_ != null) {
          result.transformationDetail_ = repeatedTextBuilder_.build();
        }
      }

      @java.lang.Override
      public Builder clone() {
        return super.clone();
      }

      @java.lang.Override
      public Builder setField(
          com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
        return super.setField(field, value);
      }

      @java.lang.Override
      public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
        return super.clearField(field);
      }

      @java.lang.Override
      public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
        return super.clearOneof(oneof);
      }

      @java.lang.Override
      public Builder setRepeatedField(
          com.google.protobuf.Descriptors.FieldDescriptor field,
          int index,
          java.lang.Object value) {
        return super.setRepeatedField(field, index, value);
      }

      @java.lang.Override
      public Builder addRepeatedField(
          com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
        return super.addRepeatedField(field, value);
      }

      @java.lang.Override
      public Builder mergeFrom(com.google.protobuf.Message other) {
        if (other
            instanceof
            com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                .Transformation) {
          return mergeFrom(
              (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                      .Transformation)
                  other);
        } else {
          super.mergeFrom(other);
          return this;
        }
      }

      public Builder mergeFrom(
          com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                  .Transformation
              other) {
        if (other
            == com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                .Transformation.getDefaultInstance()) return this;
        switch (other.getTransformationDetailCase()) {
          case AUTO:
            {
              mergeAuto(other.getAuto());
              break;
            }
          case NUMERIC:
            {
              mergeNumeric(other.getNumeric());
              break;
            }
          case CATEGORICAL:
            {
              mergeCategorical(other.getCategorical());
              break;
            }
          case TIMESTAMP:
            {
              mergeTimestamp(other.getTimestamp());
              break;
            }
          case TEXT:
            {
              mergeText(other.getText());
              break;
            }
          case REPEATED_NUMERIC:
            {
              mergeRepeatedNumeric(other.getRepeatedNumeric());
              break;
            }
          case REPEATED_CATEGORICAL:
            {
              mergeRepeatedCategorical(other.getRepeatedCategorical());
              break;
            }
          case REPEATED_TEXT:
            {
              mergeRepeatedText(other.getRepeatedText());
              break;
            }
          case TRANSFORMATIONDETAIL_NOT_SET:
            {
              break;
            }
        }
        this.mergeUnknownFields(other.getUnknownFields());
        onChanged();
        return this;
      }

      @java.lang.Override
      public final boolean isInitialized() {
        return true;
      }

      @java.lang.Override
      public Builder mergeFrom(
          com.google.protobuf.CodedInputStream input,
          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
          throws java.io.IOException {
        if (extensionRegistry == null) {
          throw new java.lang.NullPointerException();
        }
        try {
          boolean done = false;
          while (!done) {
            int tag = input.readTag();
            switch (tag) {
              case 0:
                done = true;
                break;
              case 10:
                {
                  input.readMessage(getAutoFieldBuilder().getBuilder(), extensionRegistry);
                  transformationDetailCase_ = 1;
                  break;
                } // case 10
              case 18:
                {
                  input.readMessage(getNumericFieldBuilder().getBuilder(), extensionRegistry);
                  transformationDetailCase_ = 2;
                  break;
                } // case 18
              case 26:
                {
                  input.readMessage(getCategoricalFieldBuilder().getBuilder(), extensionRegistry);
                  transformationDetailCase_ = 3;
                  break;
                } // case 26
              case 34:
                {
                  input.readMessage(getTimestampFieldBuilder().getBuilder(), extensionRegistry);
                  transformationDetailCase_ = 4;
                  break;
                } // case 34
              case 42:
                {
                  input.readMessage(getTextFieldBuilder().getBuilder(), extensionRegistry);
                  transformationDetailCase_ = 5;
                  break;
                } // case 42
              case 50:
                {
                  input.readMessage(
                      getRepeatedNumericFieldBuilder().getBuilder(), extensionRegistry);
                  transformationDetailCase_ = 6;
                  break;
                } // case 50
              case 58:
                {
                  input.readMessage(
                      getRepeatedCategoricalFieldBuilder().getBuilder(), extensionRegistry);
                  transformationDetailCase_ = 7;
                  break;
                } // case 58
              case 66:
                {
                  input.readMessage(getRepeatedTextFieldBuilder().getBuilder(), extensionRegistry);
                  transformationDetailCase_ = 8;
                  break;
                } // case 66
              default:
                {
                  if (!super.parseUnknownField(input, extensionRegistry, tag)) {
                    done = true; // was an endgroup tag
                  }
                  break;
                } // default:
            } // switch (tag)
          } // while (!done)
        } catch (com.google.protobuf.InvalidProtocolBufferException e) {
          throw e.unwrapIOException();
        } finally {
          onChanged();
        } // finally
        return this;
      }

      private int transformationDetailCase_ = 0;
      private java.lang.Object transformationDetail_;

      public TransformationDetailCase getTransformationDetailCase() {
        return TransformationDetailCase.forNumber(transformationDetailCase_);
      }

      public Builder clearTransformationDetail() {
        transformationDetailCase_ = 0;
        transformationDetail_ = null;
        onChanged();
        return this;
      }

      private int bitField0_;

      private com.google.protobuf.SingleFieldBuilderV3<
              com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                  .Transformation.AutoTransformation,
              com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                  .Transformation.AutoTransformation.Builder,
              com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                  .Transformation.AutoTransformationOrBuilder>
          autoBuilder_;
      /**
       * <code>
       * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.AutoTransformation auto = 1;
       * </code>
       *
       * @return Whether the auto field is set.
       */
      @java.lang.Override
      public boolean hasAuto() {
        return transformationDetailCase_ == 1;
      }
      /**
       * <code>
       * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.AutoTransformation auto = 1;
       * </code>
       *
       * @return The auto.
       */
      @java.lang.Override
      public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
              .Transformation.AutoTransformation
          getAuto() {
        if (autoBuilder_ == null) {
          if (transformationDetailCase_ == 1) {
            return (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                    .AutoMlTablesInputs.Transformation.AutoTransformation)
                transformationDetail_;
          }
          return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
              .AutoMlTablesInputs.Transformation.AutoTransformation.getDefaultInstance();
        } else {
          if (transformationDetailCase_ == 1) {
            return autoBuilder_.getMessage();
          }
          return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
              .AutoMlTablesInputs.Transformation.AutoTransformation.getDefaultInstance();
        }
      }
      /**
       * <code>
       * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.AutoTransformation auto = 1;
       * </code>
       */
      public Builder setAuto(
          com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                  .Transformation.AutoTransformation
              value) {
        if (autoBuilder_ == null) {
          if (value == null) {
            throw new NullPointerException();
          }
          transformationDetail_ = value;
          onChanged();
        } else {
          autoBuilder_.setMessage(value);
        }
        transformationDetailCase_ = 1;
        return this;
      }
      /**
       * <code>
       * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.AutoTransformation auto = 1;
       * </code>
       */
      public Builder setAuto(
          com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                  .Transformation.AutoTransformation.Builder
              builderForValue) {
        if (autoBuilder_ == null) {
          transformationDetail_ = builderForValue.build();
          onChanged();
        } else {
          autoBuilder_.setMessage(builderForValue.build());
        }
        transformationDetailCase_ = 1;
        return this;
      }
      /**
       * <code>
       * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.AutoTransformation auto = 1;
       * </code>
       */
      public Builder mergeAuto(
          com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                  .Transformation.AutoTransformation
              value) {
        if (autoBuilder_ == null) {
          if (transformationDetailCase_ == 1
              && transformationDetail_
                  != com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                      .AutoMlTablesInputs.Transformation.AutoTransformation.getDefaultInstance()) {
            transformationDetail_ =
                com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                    .Transformation.AutoTransformation.newBuilder(
                        (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                                .AutoMlTablesInputs.Transformation.AutoTransformation)
                            transformationDetail_)
                    .mergeFrom(value)
                    .buildPartial();
          } else {
            transformationDetail_ = value;
          }
          onChanged();
        } else {
          if (transformationDetailCase_ == 1) {
            autoBuilder_.mergeFrom(value);
          } else {
            autoBuilder_.setMessage(value);
          }
        }
        transformationDetailCase_ = 1;
        return this;
      }
      /**
       * <code>
       * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.AutoTransformation auto = 1;
       * </code>
       */
      public Builder clearAuto() {
        if (autoBuilder_ == null) {
          if (transformationDetailCase_ == 1) {
            transformationDetailCase_ = 0;
            transformationDetail_ = null;
            onChanged();
          }
        } else {
          if (transformationDetailCase_ == 1) {
            transformationDetailCase_ = 0;
            transformationDetail_ = null;
          }
          autoBuilder_.clear();
        }
        return this;
      }
      /**
       * <code>
       * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.AutoTransformation auto = 1;
       * </code>
       */
      public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
              .Transformation.AutoTransformation.Builder
          getAutoBuilder() {
        return getAutoFieldBuilder().getBuilder();
      }
      /**
       * <code>
       * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.AutoTransformation auto = 1;
       * </code>
       */
      @java.lang.Override
      public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
              .Transformation.AutoTransformationOrBuilder
          getAutoOrBuilder() {
        if ((transformationDetailCase_ == 1) && (autoBuilder_ != null)) {
          return autoBuilder_.getMessageOrBuilder();
        } else {
          if (transformationDetailCase_ == 1) {
            return (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                    .AutoMlTablesInputs.Transformation.AutoTransformation)
                transformationDetail_;
          }
          return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
              .AutoMlTablesInputs.Transformation.AutoTransformation.getDefaultInstance();
        }
      }
      /**
       * <code>
       * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.AutoTransformation auto = 1;
       * </code>
       */
      private com.google.protobuf.SingleFieldBuilderV3<
              com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                  .Transformation.AutoTransformation,
              com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                  .Transformation.AutoTransformation.Builder,
              com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                  .Transformation.AutoTransformationOrBuilder>
          getAutoFieldBuilder() {
        if (autoBuilder_ == null) {
          if (!(transformationDetailCase_ == 1)) {
            transformationDetail_ =
                com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                    .Transformation.AutoTransformation.getDefaultInstance();
          }
          autoBuilder_ =
              new com.google.protobuf.SingleFieldBuilderV3<
                  com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                      .AutoMlTablesInputs.Transformation.AutoTransformation,
                  com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                      .AutoMlTablesInputs.Transformation.AutoTransformation.Builder,
                  com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                      .AutoMlTablesInputs.Transformation.AutoTransformationOrBuilder>(
                  (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                          .AutoMlTablesInputs.Transformation.AutoTransformation)
                      transformationDetail_,
                  getParentForChildren(),
                  isClean());
          transformationDetail_ = null;
        }
        transformationDetailCase_ = 1;
        onChanged();
        return autoBuilder_;
      }

      private com.google.protobuf.SingleFieldBuilderV3<
              com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                  .Transformation.NumericTransformation,
              com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                  .Transformation.NumericTransformation.Builder,
              com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                  .Transformation.NumericTransformationOrBuilder>
          numericBuilder_;
      /**
       * <code>
       * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericTransformation numeric = 2;
       * </code>
       *
       * @return Whether the numeric field is set.
       */
      @java.lang.Override
      public boolean hasNumeric() {
        return transformationDetailCase_ == 2;
      }
      /**
       * <code>
       * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericTransformation numeric = 2;
       * </code>
       *
       * @return The numeric.
       */
      @java.lang.Override
      public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
              .Transformation.NumericTransformation
          getNumeric() {
        if (numericBuilder_ == null) {
          if (transformationDetailCase_ == 2) {
            return (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                    .AutoMlTablesInputs.Transformation.NumericTransformation)
                transformationDetail_;
          }
          return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
              .AutoMlTablesInputs.Transformation.NumericTransformation.getDefaultInstance();
        } else {
          if (transformationDetailCase_ == 2) {
            return numericBuilder_.getMessage();
          }
          return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
              .AutoMlTablesInputs.Transformation.NumericTransformation.getDefaultInstance();
        }
      }
      /**
       * <code>
       * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericTransformation numeric = 2;
       * </code>
       */
      public Builder setNumeric(
          com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                  .Transformation.NumericTransformation
              value) {
        if (numericBuilder_ == null) {
          if (value == null) {
            throw new NullPointerException();
          }
          transformationDetail_ = value;
          onChanged();
        } else {
          numericBuilder_.setMessage(value);
        }
        transformationDetailCase_ = 2;
        return this;
      }
      /**
       * <code>
       * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericTransformation numeric = 2;
       * </code>
       */
      public Builder setNumeric(
          com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                  .Transformation.NumericTransformation.Builder
              builderForValue) {
        if (numericBuilder_ == null) {
          transformationDetail_ = builderForValue.build();
          onChanged();
        } else {
          numericBuilder_.setMessage(builderForValue.build());
        }
        transformationDetailCase_ = 2;
        return this;
      }
      /**
       * <code>
       * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericTransformation numeric = 2;
       * </code>
       */
      public Builder mergeNumeric(
          com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                  .Transformation.NumericTransformation
              value) {
        if (numericBuilder_ == null) {
          if (transformationDetailCase_ == 2
              && transformationDetail_
                  != com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                      .AutoMlTablesInputs.Transformation.NumericTransformation
                      .getDefaultInstance()) {
            transformationDetail_ =
                com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                    .Transformation.NumericTransformation.newBuilder(
                        (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                                .AutoMlTablesInputs.Transformation.NumericTransformation)
                            transformationDetail_)
                    .mergeFrom(value)
                    .buildPartial();
          } else {
            transformationDetail_ = value;
          }
          onChanged();
        } else {
          if (transformationDetailCase_ == 2) {
            numericBuilder_.mergeFrom(value);
          } else {
            numericBuilder_.setMessage(value);
          }
        }
        transformationDetailCase_ = 2;
        return this;
      }
      /**
       * <code>
       * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericTransformation numeric = 2;
       * </code>
       */
      public Builder clearNumeric() {
        if (numericBuilder_ == null) {
          if (transformationDetailCase_ == 2) {
            transformationDetailCase_ = 0;
            transformationDetail_ = null;
            onChanged();
          }
        } else {
          if (transformationDetailCase_ == 2) {
            transformationDetailCase_ = 0;
            transformationDetail_ = null;
          }
          numericBuilder_.clear();
        }
        return this;
      }
      /**
       * <code>
       * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericTransformation numeric = 2;
       * </code>
       */
      public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
              .Transformation.NumericTransformation.Builder
          getNumericBuilder() {
        return getNumericFieldBuilder().getBuilder();
      }
      /**
       * <code>
       * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericTransformation numeric = 2;
       * </code>
       */
      @java.lang.Override
      public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
              .Transformation.NumericTransformationOrBuilder
          getNumericOrBuilder() {
        if ((transformationDetailCase_ == 2) && (numericBuilder_ != null)) {
          return numericBuilder_.getMessageOrBuilder();
        } else {
          if (transformationDetailCase_ == 2) {
            return (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                    .AutoMlTablesInputs.Transformation.NumericTransformation)
                transformationDetail_;
          }
          return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
              .AutoMlTablesInputs.Transformation.NumericTransformation.getDefaultInstance();
        }
      }
      /**
       * <code>
       * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericTransformation numeric = 2;
       * </code>
       */
      private com.google.protobuf.SingleFieldBuilderV3<
              com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                  .Transformation.NumericTransformation,
              com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                  .Transformation.NumericTransformation.Builder,
              com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                  .Transformation.NumericTransformationOrBuilder>
          getNumericFieldBuilder() {
        if (numericBuilder_ == null) {
          if (!(transformationDetailCase_ == 2)) {
            transformationDetail_ =
                com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                    .Transformation.NumericTransformation.getDefaultInstance();
          }
          numericBuilder_ =
              new com.google.protobuf.SingleFieldBuilderV3<
                  com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                      .AutoMlTablesInputs.Transformation.NumericTransformation,
                  com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                      .AutoMlTablesInputs.Transformation.NumericTransformation.Builder,
                  com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                      .AutoMlTablesInputs.Transformation.NumericTransformationOrBuilder>(
                  (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                          .AutoMlTablesInputs.Transformation.NumericTransformation)
                      transformationDetail_,
                  getParentForChildren(),
                  isClean());
          transformationDetail_ = null;
        }
        transformationDetailCase_ = 2;
        onChanged();
        return numericBuilder_;
      }

      private com.google.protobuf.SingleFieldBuilderV3<
              com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                  .Transformation.CategoricalTransformation,
              com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                  .Transformation.CategoricalTransformation.Builder,
              com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                  .Transformation.CategoricalTransformationOrBuilder>
          categoricalBuilder_;
      /**
       * <code>
       * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalTransformation categorical = 3;
       * </code>
       *
       * @return Whether the categorical field is set.
       */
      @java.lang.Override
      public boolean hasCategorical() {
        return transformationDetailCase_ == 3;
      }
      /**
       * <code>
       * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalTransformation categorical = 3;
       * </code>
       *
       * @return The categorical.
       */
      @java.lang.Override
      public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
              .Transformation.CategoricalTransformation
          getCategorical() {
        if (categoricalBuilder_ == null) {
          if (transformationDetailCase_ == 3) {
            return (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                    .AutoMlTablesInputs.Transformation.CategoricalTransformation)
                transformationDetail_;
          }
          return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
              .AutoMlTablesInputs.Transformation.CategoricalTransformation.getDefaultInstance();
        } else {
          if (transformationDetailCase_ == 3) {
            return categoricalBuilder_.getMessage();
          }
          return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
              .AutoMlTablesInputs.Transformation.CategoricalTransformation.getDefaultInstance();
        }
      }
      /**
       * <code>
       * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalTransformation categorical = 3;
       * </code>
       */
      public Builder setCategorical(
          com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                  .Transformation.CategoricalTransformation
              value) {
        if (categoricalBuilder_ == null) {
          if (value == null) {
            throw new NullPointerException();
          }
          transformationDetail_ = value;
          onChanged();
        } else {
          categoricalBuilder_.setMessage(value);
        }
        transformationDetailCase_ = 3;
        return this;
      }
      /**
       * <code>
       * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalTransformation categorical = 3;
       * </code>
       */
      public Builder setCategorical(
          com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                  .Transformation.CategoricalTransformation.Builder
              builderForValue) {
        if (categoricalBuilder_ == null) {
          transformationDetail_ = builderForValue.build();
          onChanged();
        } else {
          categoricalBuilder_.setMessage(builderForValue.build());
        }
        transformationDetailCase_ = 3;
        return this;
      }
      /**
       * <code>
       * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalTransformation categorical = 3;
       * </code>
       */
      public Builder mergeCategorical(
          com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                  .Transformation.CategoricalTransformation
              value) {
        if (categoricalBuilder_ == null) {
          if (transformationDetailCase_ == 3
              && transformationDetail_
                  != com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                      .AutoMlTablesInputs.Transformation.CategoricalTransformation
                      .getDefaultInstance()) {
            transformationDetail_ =
                com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                    .Transformation.CategoricalTransformation.newBuilder(
                        (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                                .AutoMlTablesInputs.Transformation.CategoricalTransformation)
                            transformationDetail_)
                    .mergeFrom(value)
                    .buildPartial();
          } else {
            transformationDetail_ = value;
          }
          onChanged();
        } else {
          if (transformationDetailCase_ == 3) {
            categoricalBuilder_.mergeFrom(value);
          } else {
            categoricalBuilder_.setMessage(value);
          }
        }
        transformationDetailCase_ = 3;
        return this;
      }
      /**
       * <code>
       * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalTransformation categorical = 3;
       * </code>
       */
      public Builder clearCategorical() {
        if (categoricalBuilder_ == null) {
          if (transformationDetailCase_ == 3) {
            transformationDetailCase_ = 0;
            transformationDetail_ = null;
            onChanged();
          }
        } else {
          if (transformationDetailCase_ == 3) {
            transformationDetailCase_ = 0;
            transformationDetail_ = null;
          }
          categoricalBuilder_.clear();
        }
        return this;
      }
      /**
       * <code>
       * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalTransformation categorical = 3;
       * </code>
       */
      public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
              .Transformation.CategoricalTransformation.Builder
          getCategoricalBuilder() {
        return getCategoricalFieldBuilder().getBuilder();
      }
      /**
       * <code>
       * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalTransformation categorical = 3;
       * </code>
       */
      @java.lang.Override
      public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
              .Transformation.CategoricalTransformationOrBuilder
          getCategoricalOrBuilder() {
        if ((transformationDetailCase_ == 3) && (categoricalBuilder_ != null)) {
          return categoricalBuilder_.getMessageOrBuilder();
        } else {
          if (transformationDetailCase_ == 3) {
            return (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                    .AutoMlTablesInputs.Transformation.CategoricalTransformation)
                transformationDetail_;
          }
          return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
              .AutoMlTablesInputs.Transformation.CategoricalTransformation.getDefaultInstance();
        }
      }
      /**
       * <code>
       * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalTransformation categorical = 3;
       * </code>
       */
      private com.google.protobuf.SingleFieldBuilderV3<
              com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                  .Transformation.CategoricalTransformation,
              com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                  .Transformation.CategoricalTransformation.Builder,
              com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                  .Transformation.CategoricalTransformationOrBuilder>
          getCategoricalFieldBuilder() {
        if (categoricalBuilder_ == null) {
          if (!(transformationDetailCase_ == 3)) {
            transformationDetail_ =
                com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                    .Transformation.CategoricalTransformation.getDefaultInstance();
          }
          categoricalBuilder_ =
              new com.google.protobuf.SingleFieldBuilderV3<
                  com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                      .AutoMlTablesInputs.Transformation.CategoricalTransformation,
                  com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                      .AutoMlTablesInputs.Transformation.CategoricalTransformation.Builder,
                  com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                      .AutoMlTablesInputs.Transformation.CategoricalTransformationOrBuilder>(
                  (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                          .AutoMlTablesInputs.Transformation.CategoricalTransformation)
                      transformationDetail_,
                  getParentForChildren(),
                  isClean());
          transformationDetail_ = null;
        }
        transformationDetailCase_ = 3;
        onChanged();
        return categoricalBuilder_;
      }

      private com.google.protobuf.SingleFieldBuilderV3<
              com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                  .Transformation.TimestampTransformation,
              com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                  .Transformation.TimestampTransformation.Builder,
              com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                  .Transformation.TimestampTransformationOrBuilder>
          timestampBuilder_;
      /**
       * <code>
       * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TimestampTransformation timestamp = 4;
       * </code>
       *
       * @return Whether the timestamp field is set.
       */
      @java.lang.Override
      public boolean hasTimestamp() {
        return transformationDetailCase_ == 4;
      }
      /**
       * <code>
       * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TimestampTransformation timestamp = 4;
       * </code>
       *
       * @return The timestamp.
       */
      @java.lang.Override
      public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
              .Transformation.TimestampTransformation
          getTimestamp() {
        if (timestampBuilder_ == null) {
          if (transformationDetailCase_ == 4) {
            return (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                    .AutoMlTablesInputs.Transformation.TimestampTransformation)
                transformationDetail_;
          }
          return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
              .AutoMlTablesInputs.Transformation.TimestampTransformation.getDefaultInstance();
        } else {
          if (transformationDetailCase_ == 4) {
            return timestampBuilder_.getMessage();
          }
          return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
              .AutoMlTablesInputs.Transformation.TimestampTransformation.getDefaultInstance();
        }
      }
      /**
       * <code>
       * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TimestampTransformation timestamp = 4;
       * </code>
       */
      public Builder setTimestamp(
          com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                  .Transformation.TimestampTransformation
              value) {
        if (timestampBuilder_ == null) {
          if (value == null) {
            throw new NullPointerException();
          }
          transformationDetail_ = value;
          onChanged();
        } else {
          timestampBuilder_.setMessage(value);
        }
        transformationDetailCase_ = 4;
        return this;
      }
      /**
       * <code>
       * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TimestampTransformation timestamp = 4;
       * </code>
       */
      public Builder setTimestamp(
          com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                  .Transformation.TimestampTransformation.Builder
              builderForValue) {
        if (timestampBuilder_ == null) {
          transformationDetail_ = builderForValue.build();
          onChanged();
        } else {
          timestampBuilder_.setMessage(builderForValue.build());
        }
        transformationDetailCase_ = 4;
        return this;
      }
      /**
       * <code>
       * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TimestampTransformation timestamp = 4;
       * </code>
       */
      public Builder mergeTimestamp(
          com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                  .Transformation.TimestampTransformation
              value) {
        if (timestampBuilder_ == null) {
          if (transformationDetailCase_ == 4
              && transformationDetail_
                  != com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                      .AutoMlTablesInputs.Transformation.TimestampTransformation
                      .getDefaultInstance()) {
            transformationDetail_ =
                com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                    .Transformation.TimestampTransformation.newBuilder(
                        (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                                .AutoMlTablesInputs.Transformation.TimestampTransformation)
                            transformationDetail_)
                    .mergeFrom(value)
                    .buildPartial();
          } else {
            transformationDetail_ = value;
          }
          onChanged();
        } else {
          if (transformationDetailCase_ == 4) {
            timestampBuilder_.mergeFrom(value);
          } else {
            timestampBuilder_.setMessage(value);
          }
        }
        transformationDetailCase_ = 4;
        return this;
      }
      /**
       * <code>
       * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TimestampTransformation timestamp = 4;
       * </code>
       */
      public Builder clearTimestamp() {
        if (timestampBuilder_ == null) {
          if (transformationDetailCase_ == 4) {
            transformationDetailCase_ = 0;
            transformationDetail_ = null;
            onChanged();
          }
        } else {
          if (transformationDetailCase_ == 4) {
            transformationDetailCase_ = 0;
            transformationDetail_ = null;
          }
          timestampBuilder_.clear();
        }
        return this;
      }
      /**
       * <code>
       * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TimestampTransformation timestamp = 4;
       * </code>
       */
      public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
              .Transformation.TimestampTransformation.Builder
          getTimestampBuilder() {
        return getTimestampFieldBuilder().getBuilder();
      }
      /**
       * <code>
       * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TimestampTransformation timestamp = 4;
       * </code>
       */
      @java.lang.Override
      public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
              .Transformation.TimestampTransformationOrBuilder
          getTimestampOrBuilder() {
        if ((transformationDetailCase_ == 4) && (timestampBuilder_ != null)) {
          return timestampBuilder_.getMessageOrBuilder();
        } else {
          if (transformationDetailCase_ == 4) {
            return (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                    .AutoMlTablesInputs.Transformation.TimestampTransformation)
                transformationDetail_;
          }
          return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
              .AutoMlTablesInputs.Transformation.TimestampTransformation.getDefaultInstance();
        }
      }
      /**
       * <code>
       * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TimestampTransformation timestamp = 4;
       * </code>
       */
      private com.google.protobuf.SingleFieldBuilderV3<
              com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                  .Transformation.TimestampTransformation,
              com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                  .Transformation.TimestampTransformation.Builder,
              com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                  .Transformation.TimestampTransformationOrBuilder>
          getTimestampFieldBuilder() {
        if (timestampBuilder_ == null) {
          if (!(transformationDetailCase_ == 4)) {
            transformationDetail_ =
                com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                    .Transformation.TimestampTransformation.getDefaultInstance();
          }
          timestampBuilder_ =
              new com.google.protobuf.SingleFieldBuilderV3<
                  com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                      .AutoMlTablesInputs.Transformation.TimestampTransformation,
                  com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                      .AutoMlTablesInputs.Transformation.TimestampTransformation.Builder,
                  com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                      .AutoMlTablesInputs.Transformation.TimestampTransformationOrBuilder>(
                  (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                          .AutoMlTablesInputs.Transformation.TimestampTransformation)
                      transformationDetail_,
                  getParentForChildren(),
                  isClean());
          transformationDetail_ = null;
        }
        transformationDetailCase_ = 4;
        onChanged();
        return timestampBuilder_;
      }

      private com.google.protobuf.SingleFieldBuilderV3<
              com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                  .Transformation.TextTransformation,
              com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                  .Transformation.TextTransformation.Builder,
              com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                  .Transformation.TextTransformationOrBuilder>
          textBuilder_;
      /**
       * <code>
       * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextTransformation text = 5;
       * </code>
       *
       * @return Whether the text field is set.
       */
      @java.lang.Override
      public boolean hasText() {
        return transformationDetailCase_ == 5;
      }
      /**
       * <code>
       * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextTransformation text = 5;
       * </code>
       *
       * @return The text.
       */
      @java.lang.Override
      public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
              .Transformation.TextTransformation
          getText() {
        if (textBuilder_ == null) {
          if (transformationDetailCase_ == 5) {
            return (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                    .AutoMlTablesInputs.Transformation.TextTransformation)
                transformationDetail_;
          }
          return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
              .AutoMlTablesInputs.Transformation.TextTransformation.getDefaultInstance();
        } else {
          if (transformationDetailCase_ == 5) {
            return textBuilder_.getMessage();
          }
          return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
              .AutoMlTablesInputs.Transformation.TextTransformation.getDefaultInstance();
        }
      }
      /**
       * <code>
       * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextTransformation text = 5;
       * </code>
       */
      public Builder setText(
          com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                  .Transformation.TextTransformation
              value) {
        if (textBuilder_ == null) {
          if (value == null) {
            throw new NullPointerException();
          }
          transformationDetail_ = value;
          onChanged();
        } else {
          textBuilder_.setMessage(value);
        }
        transformationDetailCase_ = 5;
        return this;
      }
      /**
       * <code>
       * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextTransformation text = 5;
       * </code>
       */
      public Builder setText(
          com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                  .Transformation.TextTransformation.Builder
              builderForValue) {
        if (textBuilder_ == null) {
          transformationDetail_ = builderForValue.build();
          onChanged();
        } else {
          textBuilder_.setMessage(builderForValue.build());
        }
        transformationDetailCase_ = 5;
        return this;
      }
      /**
       * <code>
       * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextTransformation text = 5;
       * </code>
       */
      public Builder mergeText(
          com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                  .Transformation.TextTransformation
              value) {
        if (textBuilder_ == null) {
          if (transformationDetailCase_ == 5
              && transformationDetail_
                  != com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                      .AutoMlTablesInputs.Transformation.TextTransformation.getDefaultInstance()) {
            transformationDetail_ =
                com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                    .Transformation.TextTransformation.newBuilder(
                        (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                                .AutoMlTablesInputs.Transformation.TextTransformation)
                            transformationDetail_)
                    .mergeFrom(value)
                    .buildPartial();
          } else {
            transformationDetail_ = value;
          }
          onChanged();
        } else {
          if (transformationDetailCase_ == 5) {
            textBuilder_.mergeFrom(value);
          } else {
            textBuilder_.setMessage(value);
          }
        }
        transformationDetailCase_ = 5;
        return this;
      }
      /**
       * <code>
       * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextTransformation text = 5;
       * </code>
       */
      public Builder clearText() {
        if (textBuilder_ == null) {
          if (transformationDetailCase_ == 5) {
            transformationDetailCase_ = 0;
            transformationDetail_ = null;
            onChanged();
          }
        } else {
          if (transformationDetailCase_ == 5) {
            transformationDetailCase_ = 0;
            transformationDetail_ = null;
          }
          textBuilder_.clear();
        }
        return this;
      }
      /**
       * <code>
       * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextTransformation text = 5;
       * </code>
       */
      public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
              .Transformation.TextTransformation.Builder
          getTextBuilder() {
        return getTextFieldBuilder().getBuilder();
      }
      /**
       * <code>
       * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextTransformation text = 5;
       * </code>
       */
      @java.lang.Override
      public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
              .Transformation.TextTransformationOrBuilder
          getTextOrBuilder() {
        if ((transformationDetailCase_ == 5) && (textBuilder_ != null)) {
          return textBuilder_.getMessageOrBuilder();
        } else {
          if (transformationDetailCase_ == 5) {
            return (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                    .AutoMlTablesInputs.Transformation.TextTransformation)
                transformationDetail_;
          }
          return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
              .AutoMlTablesInputs.Transformation.TextTransformation.getDefaultInstance();
        }
      }
      /**
       * <code>
       * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextTransformation text = 5;
       * </code>
       */
      private com.google.protobuf.SingleFieldBuilderV3<
              com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                  .Transformation.TextTransformation,
              com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                  .Transformation.TextTransformation.Builder,
              com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                  .Transformation.TextTransformationOrBuilder>
          getTextFieldBuilder() {
        if (textBuilder_ == null) {
          if (!(transformationDetailCase_ == 5)) {
            transformationDetail_ =
                com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                    .Transformation.TextTransformation.getDefaultInstance();
          }
          textBuilder_ =
              new com.google.protobuf.SingleFieldBuilderV3<
                  com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                      .AutoMlTablesInputs.Transformation.TextTransformation,
                  com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                      .AutoMlTablesInputs.Transformation.TextTransformation.Builder,
                  com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                      .AutoMlTablesInputs.Transformation.TextTransformationOrBuilder>(
                  (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                          .AutoMlTablesInputs.Transformation.TextTransformation)
                      transformationDetail_,
                  getParentForChildren(),
                  isClean());
          transformationDetail_ = null;
        }
        transformationDetailCase_ = 5;
        onChanged();
        return textBuilder_;
      }

      private com.google.protobuf.SingleFieldBuilderV3<
              com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                  .Transformation.NumericArrayTransformation,
              com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                  .Transformation.NumericArrayTransformation.Builder,
              com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                  .Transformation.NumericArrayTransformationOrBuilder>
          repeatedNumericBuilder_;
      /**
       * <code>
       * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericArrayTransformation repeated_numeric = 6;
       * </code>
       *
       * @return Whether the repeatedNumeric field is set.
       */
      @java.lang.Override
      public boolean hasRepeatedNumeric() {
        return transformationDetailCase_ == 6;
      }
      /**
       * <code>
       * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericArrayTransformation repeated_numeric = 6;
       * </code>
       *
       * @return The repeatedNumeric.
       */
      @java.lang.Override
      public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
              .Transformation.NumericArrayTransformation
          getRepeatedNumeric() {
        if (repeatedNumericBuilder_ == null) {
          if (transformationDetailCase_ == 6) {
            return (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                    .AutoMlTablesInputs.Transformation.NumericArrayTransformation)
                transformationDetail_;
          }
          return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
              .AutoMlTablesInputs.Transformation.NumericArrayTransformation.getDefaultInstance();
        } else {
          if (transformationDetailCase_ == 6) {
            return repeatedNumericBuilder_.getMessage();
          }
          return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
              .AutoMlTablesInputs.Transformation.NumericArrayTransformation.getDefaultInstance();
        }
      }
      /**
       * <code>
       * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericArrayTransformation repeated_numeric = 6;
       * </code>
       */
      public Builder setRepeatedNumeric(
          com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                  .Transformation.NumericArrayTransformation
              value) {
        if (repeatedNumericBuilder_ == null) {
          if (value == null) {
            throw new NullPointerException();
          }
          transformationDetail_ = value;
          onChanged();
        } else {
          repeatedNumericBuilder_.setMessage(value);
        }
        transformationDetailCase_ = 6;
        return this;
      }
      /**
       * <code>
       * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericArrayTransformation repeated_numeric = 6;
       * </code>
       */
      public Builder setRepeatedNumeric(
          com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                  .Transformation.NumericArrayTransformation.Builder
              builderForValue) {
        if (repeatedNumericBuilder_ == null) {
          transformationDetail_ = builderForValue.build();
          onChanged();
        } else {
          repeatedNumericBuilder_.setMessage(builderForValue.build());
        }
        transformationDetailCase_ = 6;
        return this;
      }
      /**
       * <code>
       * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericArrayTransformation repeated_numeric = 6;
       * </code>
       */
      public Builder mergeRepeatedNumeric(
          com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                  .Transformation.NumericArrayTransformation
              value) {
        if (repeatedNumericBuilder_ == null) {
          if (transformationDetailCase_ == 6
              && transformationDetail_
                  != com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                      .AutoMlTablesInputs.Transformation.NumericArrayTransformation
                      .getDefaultInstance()) {
            transformationDetail_ =
                com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                    .Transformation.NumericArrayTransformation.newBuilder(
                        (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                                .AutoMlTablesInputs.Transformation.NumericArrayTransformation)
                            transformationDetail_)
                    .mergeFrom(value)
                    .buildPartial();
          } else {
            transformationDetail_ = value;
          }
          onChanged();
        } else {
          if (transformationDetailCase_ == 6) {
            repeatedNumericBuilder_.mergeFrom(value);
          } else {
            repeatedNumericBuilder_.setMessage(value);
          }
        }
        transformationDetailCase_ = 6;
        return this;
      }
      /**
       * <code>
       * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericArrayTransformation repeated_numeric = 6;
       * </code>
       */
      public Builder clearRepeatedNumeric() {
        if (repeatedNumericBuilder_ == null) {
          if (transformationDetailCase_ == 6) {
            transformationDetailCase_ = 0;
            transformationDetail_ = null;
            onChanged();
          }
        } else {
          if (transformationDetailCase_ == 6) {
            transformationDetailCase_ = 0;
            transformationDetail_ = null;
          }
          repeatedNumericBuilder_.clear();
        }
        return this;
      }
      /**
       * <code>
       * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericArrayTransformation repeated_numeric = 6;
       * </code>
       */
      public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
              .Transformation.NumericArrayTransformation.Builder
          getRepeatedNumericBuilder() {
        return getRepeatedNumericFieldBuilder().getBuilder();
      }
      /**
       * <code>
       * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericArrayTransformation repeated_numeric = 6;
       * </code>
       */
      @java.lang.Override
      public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
              .Transformation.NumericArrayTransformationOrBuilder
          getRepeatedNumericOrBuilder() {
        if ((transformationDetailCase_ == 6) && (repeatedNumericBuilder_ != null)) {
          return repeatedNumericBuilder_.getMessageOrBuilder();
        } else {
          if (transformationDetailCase_ == 6) {
            return (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                    .AutoMlTablesInputs.Transformation.NumericArrayTransformation)
                transformationDetail_;
          }
          return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
              .AutoMlTablesInputs.Transformation.NumericArrayTransformation.getDefaultInstance();
        }
      }
      /**
       * <code>
       * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericArrayTransformation repeated_numeric = 6;
       * </code>
       */
      private com.google.protobuf.SingleFieldBuilderV3<
              com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                  .Transformation.NumericArrayTransformation,
              com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                  .Transformation.NumericArrayTransformation.Builder,
              com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                  .Transformation.NumericArrayTransformationOrBuilder>
          getRepeatedNumericFieldBuilder() {
        if (repeatedNumericBuilder_ == null) {
          if (!(transformationDetailCase_ == 6)) {
            transformationDetail_ =
                com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                    .Transformation.NumericArrayTransformation.getDefaultInstance();
          }
          repeatedNumericBuilder_ =
              new com.google.protobuf.SingleFieldBuilderV3<
                  com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                      .AutoMlTablesInputs.Transformation.NumericArrayTransformation,
                  com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                      .AutoMlTablesInputs.Transformation.NumericArrayTransformation.Builder,
                  com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                      .AutoMlTablesInputs.Transformation.NumericArrayTransformationOrBuilder>(
                  (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                          .AutoMlTablesInputs.Transformation.NumericArrayTransformation)
                      transformationDetail_,
                  getParentForChildren(),
                  isClean());
          transformationDetail_ = null;
        }
        transformationDetailCase_ = 6;
        onChanged();
        return repeatedNumericBuilder_;
      }

      private com.google.protobuf.SingleFieldBuilderV3<
              com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                  .Transformation.CategoricalArrayTransformation,
              com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                  .Transformation.CategoricalArrayTransformation.Builder,
              com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                  .Transformation.CategoricalArrayTransformationOrBuilder>
          repeatedCategoricalBuilder_;
      /**
       * <code>
       * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalArrayTransformation repeated_categorical = 7;
       * </code>
       *
       * @return Whether the repeatedCategorical field is set.
       */
      @java.lang.Override
      public boolean hasRepeatedCategorical() {
        return transformationDetailCase_ == 7;
      }
      /**
       * <code>
       * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalArrayTransformation repeated_categorical = 7;
       * </code>
       *
       * @return The repeatedCategorical.
       */
      @java.lang.Override
      public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
              .Transformation.CategoricalArrayTransformation
          getRepeatedCategorical() {
        if (repeatedCategoricalBuilder_ == null) {
          if (transformationDetailCase_ == 7) {
            return (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                    .AutoMlTablesInputs.Transformation.CategoricalArrayTransformation)
                transformationDetail_;
          }
          return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
              .AutoMlTablesInputs.Transformation.CategoricalArrayTransformation
              .getDefaultInstance();
        } else {
          if (transformationDetailCase_ == 7) {
            return repeatedCategoricalBuilder_.getMessage();
          }
          return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
              .AutoMlTablesInputs.Transformation.CategoricalArrayTransformation
              .getDefaultInstance();
        }
      }
      /**
       * <code>
       * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalArrayTransformation repeated_categorical = 7;
       * </code>
       */
      public Builder setRepeatedCategorical(
          com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                  .Transformation.CategoricalArrayTransformation
              value) {
        if (repeatedCategoricalBuilder_ == null) {
          if (value == null) {
            throw new NullPointerException();
          }
          transformationDetail_ = value;
          onChanged();
        } else {
          repeatedCategoricalBuilder_.setMessage(value);
        }
        transformationDetailCase_ = 7;
        return this;
      }
      /**
       * <code>
       * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalArrayTransformation repeated_categorical = 7;
       * </code>
       */
      public Builder setRepeatedCategorical(
          com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                  .Transformation.CategoricalArrayTransformation.Builder
              builderForValue) {
        if (repeatedCategoricalBuilder_ == null) {
          transformationDetail_ = builderForValue.build();
          onChanged();
        } else {
          repeatedCategoricalBuilder_.setMessage(builderForValue.build());
        }
        transformationDetailCase_ = 7;
        return this;
      }
      /**
       * <code>
       * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalArrayTransformation repeated_categorical = 7;
       * </code>
       */
      public Builder mergeRepeatedCategorical(
          com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                  .Transformation.CategoricalArrayTransformation
              value) {
        if (repeatedCategoricalBuilder_ == null) {
          if (transformationDetailCase_ == 7
              && transformationDetail_
                  != com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                      .AutoMlTablesInputs.Transformation.CategoricalArrayTransformation
                      .getDefaultInstance()) {
            transformationDetail_ =
                com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                    .Transformation.CategoricalArrayTransformation.newBuilder(
                        (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                                .AutoMlTablesInputs.Transformation.CategoricalArrayTransformation)
                            transformationDetail_)
                    .mergeFrom(value)
                    .buildPartial();
          } else {
            transformationDetail_ = value;
          }
          onChanged();
        } else {
          if (transformationDetailCase_ == 7) {
            repeatedCategoricalBuilder_.mergeFrom(value);
          } else {
            repeatedCategoricalBuilder_.setMessage(value);
          }
        }
        transformationDetailCase_ = 7;
        return this;
      }
      /**
       * <code>
       * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalArrayTransformation repeated_categorical = 7;
       * </code>
       */
      public Builder clearRepeatedCategorical() {
        if (repeatedCategoricalBuilder_ == null) {
          if (transformationDetailCase_ == 7) {
            transformationDetailCase_ = 0;
            transformationDetail_ = null;
            onChanged();
          }
        } else {
          if (transformationDetailCase_ == 7) {
            transformationDetailCase_ = 0;
            transformationDetail_ = null;
          }
          repeatedCategoricalBuilder_.clear();
        }
        return this;
      }
      /**
       * <code>
       * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalArrayTransformation repeated_categorical = 7;
       * </code>
       */
      public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
              .Transformation.CategoricalArrayTransformation.Builder
          getRepeatedCategoricalBuilder() {
        return getRepeatedCategoricalFieldBuilder().getBuilder();
      }
      /**
       * <code>
       * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalArrayTransformation repeated_categorical = 7;
       * </code>
       */
      @java.lang.Override
      public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
              .Transformation.CategoricalArrayTransformationOrBuilder
          getRepeatedCategoricalOrBuilder() {
        if ((transformationDetailCase_ == 7) && (repeatedCategoricalBuilder_ != null)) {
          return repeatedCategoricalBuilder_.getMessageOrBuilder();
        } else {
          if (transformationDetailCase_ == 7) {
            return (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                    .AutoMlTablesInputs.Transformation.CategoricalArrayTransformation)
                transformationDetail_;
          }
          return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
              .AutoMlTablesInputs.Transformation.CategoricalArrayTransformation
              .getDefaultInstance();
        }
      }
      /**
       * <code>
       * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalArrayTransformation repeated_categorical = 7;
       * </code>
       */
      private com.google.protobuf.SingleFieldBuilderV3<
              com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                  .Transformation.CategoricalArrayTransformation,
              com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                  .Transformation.CategoricalArrayTransformation.Builder,
              com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                  .Transformation.CategoricalArrayTransformationOrBuilder>
          getRepeatedCategoricalFieldBuilder() {
        if (repeatedCategoricalBuilder_ == null) {
          if (!(transformationDetailCase_ == 7)) {
            transformationDetail_ =
                com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                    .Transformation.CategoricalArrayTransformation.getDefaultInstance();
          }
          repeatedCategoricalBuilder_ =
              new com.google.protobuf.SingleFieldBuilderV3<
                  com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                      .AutoMlTablesInputs.Transformation.CategoricalArrayTransformation,
                  com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                      .AutoMlTablesInputs.Transformation.CategoricalArrayTransformation.Builder,
                  com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                      .AutoMlTablesInputs.Transformation.CategoricalArrayTransformationOrBuilder>(
                  (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                          .AutoMlTablesInputs.Transformation.CategoricalArrayTransformation)
                      transformationDetail_,
                  getParentForChildren(),
                  isClean());
          transformationDetail_ = null;
        }
        transformationDetailCase_ = 7;
        onChanged();
        return repeatedCategoricalBuilder_;
      }

      private com.google.protobuf.SingleFieldBuilderV3<
              com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                  .Transformation.TextArrayTransformation,
              com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                  .Transformation.TextArrayTransformation.Builder,
              com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                  .Transformation.TextArrayTransformationOrBuilder>
          repeatedTextBuilder_;
      /**
       * <code>
       * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextArrayTransformation repeated_text = 8;
       * </code>
       *
       * @return Whether the repeatedText field is set.
       */
      @java.lang.Override
      public boolean hasRepeatedText() {
        return transformationDetailCase_ == 8;
      }
      /**
       * <code>
       * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextArrayTransformation repeated_text = 8;
       * </code>
       *
       * @return The repeatedText.
       */
      @java.lang.Override
      public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
              .Transformation.TextArrayTransformation
          getRepeatedText() {
        if (repeatedTextBuilder_ == null) {
          if (transformationDetailCase_ == 8) {
            return (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                    .AutoMlTablesInputs.Transformation.TextArrayTransformation)
                transformationDetail_;
          }
          return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
              .AutoMlTablesInputs.Transformation.TextArrayTransformation.getDefaultInstance();
        } else {
          if (transformationDetailCase_ == 8) {
            return repeatedTextBuilder_.getMessage();
          }
          return com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
              .AutoMlTablesInputs.Transformation.TextArrayTransformation.getDefaultInstance();
        }
      }
      /**
       * <code>
       * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextArrayTransformation repeated_text = 8;
       * </code>
       */
      public Builder setRepeatedText(
          com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                  .Transformation.TextArrayTransformation
              value) {
        if (repeatedTextBuilder_ == null) {
          if (value == null) {
            throw new NullPointerException();
          }
          transformationDetail_ = value;
          onChanged();
        } else {
          repeatedTextBuilder_.setMessage(value);
        }
        transformationDetailCase_ = 8;
        return this;
      }
      /**
       * <code>
       * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextArrayTransformation repeated_text = 8;
       * </code>
       */
      public Builder setRepeatedText(
          com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                  .Transformation.TextArrayTransformation.Builder
              builderForValue) {
        if (repeatedTextBuilder_ == null) {
          transformationDetail_ = builderForValue.build();
          onChanged();
        } else {
          repeatedTextBuilder_.setMessage(builderForValue.build());
        }
        transformationDetailCase_ = 8;
        return this;
      }
      /**
       * <code>
       * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextArrayTransformation repeated_text = 8;
       * </code>
       */
      public Builder mergeRepeatedText(
          com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                  .Transformation.TextArrayTransformation
              value) {
        if (repeatedTextBuilder_ == null) {
          if (transformationDetailCase_ == 8
              && transformationDetail_
                  != com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                      .AutoMlTablesInputs.Transformation.TextArrayTransformation
                      .getDefaultInstance()) {
            transformationDetail_ =
                com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                    .Transformation.TextArrayTransformation.newBuilder(
                        (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                                .AutoMlTablesInputs.Transformation.TextArrayTransformation)
                            transformationDetail_)
                    .mergeFrom(value)
                    .buildPartial();
          } else {
            transformationDetail_ = value;
          }
          onChanged();
        } else {
          if (transformationDetailCase_ == 8) {
            repeatedTextBuilder_.mergeFrom(value);
          } else {
            repeatedTextBuilder_.setMessage(value);
          }
        }
        transformationDetailCase_ = 8;
        return this;
      }
      /**
       * <code>
       * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextArrayTransformation repeated_text = 8;
       * </code>
       */
      public Builder clearRepeatedText() {
        if (repeatedTextBuilder_ == null) {
          if (transformationDetailCase_ == 8) {
            transformationDetailCase_ = 0;
            transformationDetail_ = null;
            onChanged();
          }
        } else {
          if (transformationDetailCase_ == 8) {
            transformationDetailCase_ = 0;
            transformationDetail_ = null;
          }
          repeatedTextBuilder_.clear();
        }
        return this;
      }
      /**
       * <code>
       * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextArrayTransformation repeated_text = 8;
       * </code>
       */
      public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
              .Transformation.TextArrayTransformation.Builder
          getRepeatedTextBuilder() {
        return getRepeatedTextFieldBuilder().getBuilder();
      }
      /**
       * <code>
       * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextArrayTransformation repeated_text = 8;
       * </code>
       */
      @java.lang.Override
      public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
              .Transformation.TextArrayTransformationOrBuilder
          getRepeatedTextOrBuilder() {
        if ((transformationDetailCase_ == 8) && (repeatedTextBuilder_ != null)) {
          return repeatedTextBuilder_.getMessageOrBuilder();
        } else {
          if (transformationDetailCase_ == 8) {
            return (com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
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    static {
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    public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
            .AutoMlTablesInputs.Transformation
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  private int additionalOptimizationObjectiveConfigCase_ = 0;

  @SuppressWarnings("serial")
  private java.lang.Object additionalOptimizationObjectiveConfig_;

  public enum AdditionalOptimizationObjectiveConfigCase
      implements
          com.google.protobuf.Internal.EnumLite,
          com.google.protobuf.AbstractMessage.InternalOneOfEnum {
    OPTIMIZATION_OBJECTIVE_RECALL_VALUE(5),
    OPTIMIZATION_OBJECTIVE_PRECISION_VALUE(6),
    ADDITIONALOPTIMIZATIONOBJECTIVECONFIG_NOT_SET(0);
    private final int value;

    private AdditionalOptimizationObjectiveConfigCase(int value) {
      this.value = value;
    }
    /**
     * @param value The number of the enum to look for.
     * @return The enum associated with the given number.
     * @deprecated Use {@link #forNumber(int)} instead.
     */
    @java.lang.Deprecated
    public static AdditionalOptimizationObjectiveConfigCase valueOf(int value) {
      return forNumber(value);
    }

    public static AdditionalOptimizationObjectiveConfigCase forNumber(int value) {
      switch (value) {
        case 5:
          return OPTIMIZATION_OBJECTIVE_RECALL_VALUE;
        case 6:
          return OPTIMIZATION_OBJECTIVE_PRECISION_VALUE;
        case 0:
          return ADDITIONALOPTIMIZATIONOBJECTIVECONFIG_NOT_SET;
        default:
          return null;
      }
    }

    public int getNumber() {
      return this.value;
    }
  };

  public AdditionalOptimizationObjectiveConfigCase getAdditionalOptimizationObjectiveConfigCase() {
    return AdditionalOptimizationObjectiveConfigCase.forNumber(
        additionalOptimizationObjectiveConfigCase_);
  }

  public static final int OPTIMIZATION_OBJECTIVE_RECALL_VALUE_FIELD_NUMBER = 5;
  /**
   *
   *
   * <pre>
   * Required when optimization_objective is "maximize-precision-at-recall".
   * Must be between 0 and 1, inclusive.
   * </pre>
   *
   * <code>float optimization_objective_recall_value = 5;</code>
   *
   * @return Whether the optimizationObjectiveRecallValue field is set.
   */
  @java.lang.Override
  public boolean hasOptimizationObjectiveRecallValue() {
    return additionalOptimizationObjectiveConfigCase_ == 5;
  }
  /**
   *
   *
   * <pre>
   * Required when optimization_objective is "maximize-precision-at-recall".
   * Must be between 0 and 1, inclusive.
   * </pre>
   *
   * <code>float optimization_objective_recall_value = 5;</code>
   *
   * @return The optimizationObjectiveRecallValue.
   */
  @java.lang.Override
  public float getOptimizationObjectiveRecallValue() {
    if (additionalOptimizationObjectiveConfigCase_ == 5) {
      return (java.lang.Float) additionalOptimizationObjectiveConfig_;
    }
    return 0F;
  }

  public static final int OPTIMIZATION_OBJECTIVE_PRECISION_VALUE_FIELD_NUMBER = 6;
  /**
   *
   *
   * <pre>
   * Required when optimization_objective is "maximize-recall-at-precision".
   * Must be between 0 and 1, inclusive.
   * </pre>
   *
   * <code>float optimization_objective_precision_value = 6;</code>
   *
   * @return Whether the optimizationObjectivePrecisionValue field is set.
   */
  @java.lang.Override
  public boolean hasOptimizationObjectivePrecisionValue() {
    return additionalOptimizationObjectiveConfigCase_ == 6;
  }
  /**
   *
   *
   * <pre>
   * Required when optimization_objective is "maximize-recall-at-precision".
   * Must be between 0 and 1, inclusive.
   * </pre>
   *
   * <code>float optimization_objective_precision_value = 6;</code>
   *
   * @return The optimizationObjectivePrecisionValue.
   */
  @java.lang.Override
  public float getOptimizationObjectivePrecisionValue() {
    if (additionalOptimizationObjectiveConfigCase_ == 6) {
      return (java.lang.Float) additionalOptimizationObjectiveConfig_;
    }
    return 0F;
  }

  public static final int PREDICTION_TYPE_FIELD_NUMBER = 1;

  @SuppressWarnings("serial")
  private volatile java.lang.Object predictionType_ = "";
  /**
   *
   *
   * <pre>
   * The type of prediction the Model is to produce.
   *   "classification" - Predict one out of multiple target values is
   *                      picked for each row.
   *   "regression" - Predict a value based on its relation to other values.
   *                  This type is available only to columns that contain
   *                  semantically numeric values, i.e. integers or floating
   *                  point number, even if stored as e.g. strings.
   * </pre>
   *
   * <code>string prediction_type = 1;</code>
   *
   * @return The predictionType.
   */
  @java.lang.Override
  public java.lang.String getPredictionType() {
    java.lang.Object ref = predictionType_;
    if (ref instanceof java.lang.String) {
      return (java.lang.String) ref;
    } else {
      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
      java.lang.String s = bs.toStringUtf8();
      predictionType_ = s;
      return s;
    }
  }
  /**
   *
   *
   * <pre>
   * The type of prediction the Model is to produce.
   *   "classification" - Predict one out of multiple target values is
   *                      picked for each row.
   *   "regression" - Predict a value based on its relation to other values.
   *                  This type is available only to columns that contain
   *                  semantically numeric values, i.e. integers or floating
   *                  point number, even if stored as e.g. strings.
   * </pre>
   *
   * <code>string prediction_type = 1;</code>
   *
   * @return The bytes for predictionType.
   */
  @java.lang.Override
  public com.google.protobuf.ByteString getPredictionTypeBytes() {
    java.lang.Object ref = predictionType_;
    if (ref instanceof java.lang.String) {
      com.google.protobuf.ByteString b =
          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
      predictionType_ = b;
      return b;
    } else {
      return (com.google.protobuf.ByteString) ref;
    }
  }

  public static final int TARGET_COLUMN_FIELD_NUMBER = 2;

  @SuppressWarnings("serial")
  private volatile java.lang.Object targetColumn_ = "";
  /**
   *
   *
   * <pre>
   * The column name of the target column that the model is to predict.
   * </pre>
   *
   * <code>string target_column = 2;</code>
   *
   * @return The targetColumn.
   */
  @java.lang.Override
  public java.lang.String getTargetColumn() {
    java.lang.Object ref = targetColumn_;
    if (ref instanceof java.lang.String) {
      return (java.lang.String) ref;
    } else {
      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
      java.lang.String s = bs.toStringUtf8();
      targetColumn_ = s;
      return s;
    }
  }
  /**
   *
   *
   * <pre>
   * The column name of the target column that the model is to predict.
   * </pre>
   *
   * <code>string target_column = 2;</code>
   *
   * @return The bytes for targetColumn.
   */
  @java.lang.Override
  public com.google.protobuf.ByteString getTargetColumnBytes() {
    java.lang.Object ref = targetColumn_;
    if (ref instanceof java.lang.String) {
      com.google.protobuf.ByteString b =
          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
      targetColumn_ = b;
      return b;
    } else {
      return (com.google.protobuf.ByteString) ref;
    }
  }

  public static final int TRANSFORMATIONS_FIELD_NUMBER = 3;

  @SuppressWarnings("serial")
  private java.util.List<
          com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
              .Transformation>
      transformations_;
  /**
   *
   *
   * <pre>
   * Each transformation will apply transform function to given input column.
   * And the result will be used for training.
   * When creating transformation for BigQuery Struct column, the column should
   * be flattened using "." as the delimiter.
   * </pre>
   *
   * <code>
   * repeated .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation transformations = 3;
   * </code>
   */
  @java.lang.Override
  public java.util.List<
          com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
              .Transformation>
      getTransformationsList() {
    return transformations_;
  }
  /**
   *
   *
   * <pre>
   * Each transformation will apply transform function to given input column.
   * And the result will be used for training.
   * When creating transformation for BigQuery Struct column, the column should
   * be flattened using "." as the delimiter.
   * </pre>
   *
   * <code>
   * repeated .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation transformations = 3;
   * </code>
   */
  @java.lang.Override
  public java.util.List<
          ? extends
              com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                  .TransformationOrBuilder>
      getTransformationsOrBuilderList() {
    return transformations_;
  }
  /**
   *
   *
   * <pre>
   * Each transformation will apply transform function to given input column.
   * And the result will be used for training.
   * When creating transformation for BigQuery Struct column, the column should
   * be flattened using "." as the delimiter.
   * </pre>
   *
   * <code>
   * repeated .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation transformations = 3;
   * </code>
   */
  @java.lang.Override
  public int getTransformationsCount() {
    return transformations_.size();
  }
  /**
   *
   *
   * <pre>
   * Each transformation will apply transform function to given input column.
   * And the result will be used for training.
   * When creating transformation for BigQuery Struct column, the column should
   * be flattened using "." as the delimiter.
   * </pre>
   *
   * <code>
   * repeated .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation transformations = 3;
   * </code>
   */
  @java.lang.Override
  public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
          .Transformation
      getTransformations(int index) {
    return transformations_.get(index);
  }
  /**
   *
   *
   * <pre>
   * Each transformation will apply transform function to given input column.
   * And the result will be used for training.
   * When creating transformation for BigQuery Struct column, the column should
   * be flattened using "." as the delimiter.
   * </pre>
   *
   * <code>
   * repeated .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation transformations = 3;
   * </code>
   */
  @java.lang.Override
  public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
          .TransformationOrBuilder
      getTransformationsOrBuilder(int index) {
    return transformations_.get(index);
  }

  public static final int OPTIMIZATION_OBJECTIVE_FIELD_NUMBER = 4;

  @SuppressWarnings("serial")
  private volatile java.lang.Object optimizationObjective_ = "";
  /**
   *
   *
   * <pre>
   * Objective function the model is optimizing towards. The training process
   * creates a model that maximizes/minimizes the value of the objective
   * function over the validation set.
   *
   * The supported optimization objectives depend on the prediction type.
   * If the field is not set, a default objective function is used.
   *
   * classification (binary):
   *   "maximize-au-roc" (default) - Maximize the area under the receiver
   *                                 operating characteristic (ROC) curve.
   *   "minimize-log-loss" - Minimize log loss.
   *   "maximize-au-prc" - Maximize the area under the precision-recall curve.
   *   "maximize-precision-at-recall" - Maximize precision for a specified
   *                                   recall value.
   *   "maximize-recall-at-precision" - Maximize recall for a specified
   *                                    precision value.
   *
   * classification (multi-class):
   *   "minimize-log-loss" (default) - Minimize log loss.
   *
   * regression:
   *   "minimize-rmse" (default) - Minimize root-mean-squared error (RMSE).
   *   "minimize-mae" - Minimize mean-absolute error (MAE).
   *   "minimize-rmsle" - Minimize root-mean-squared log error (RMSLE).
   * </pre>
   *
   * <code>string optimization_objective = 4;</code>
   *
   * @return The optimizationObjective.
   */
  @java.lang.Override
  public java.lang.String getOptimizationObjective() {
    java.lang.Object ref = optimizationObjective_;
    if (ref instanceof java.lang.String) {
      return (java.lang.String) ref;
    } else {
      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
      java.lang.String s = bs.toStringUtf8();
      optimizationObjective_ = s;
      return s;
    }
  }
  /**
   *
   *
   * <pre>
   * Objective function the model is optimizing towards. The training process
   * creates a model that maximizes/minimizes the value of the objective
   * function over the validation set.
   *
   * The supported optimization objectives depend on the prediction type.
   * If the field is not set, a default objective function is used.
   *
   * classification (binary):
   *   "maximize-au-roc" (default) - Maximize the area under the receiver
   *                                 operating characteristic (ROC) curve.
   *   "minimize-log-loss" - Minimize log loss.
   *   "maximize-au-prc" - Maximize the area under the precision-recall curve.
   *   "maximize-precision-at-recall" - Maximize precision for a specified
   *                                   recall value.
   *   "maximize-recall-at-precision" - Maximize recall for a specified
   *                                    precision value.
   *
   * classification (multi-class):
   *   "minimize-log-loss" (default) - Minimize log loss.
   *
   * regression:
   *   "minimize-rmse" (default) - Minimize root-mean-squared error (RMSE).
   *   "minimize-mae" - Minimize mean-absolute error (MAE).
   *   "minimize-rmsle" - Minimize root-mean-squared log error (RMSLE).
   * </pre>
   *
   * <code>string optimization_objective = 4;</code>
   *
   * @return The bytes for optimizationObjective.
   */
  @java.lang.Override
  public com.google.protobuf.ByteString getOptimizationObjectiveBytes() {
    java.lang.Object ref = optimizationObjective_;
    if (ref instanceof java.lang.String) {
      com.google.protobuf.ByteString b =
          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
      optimizationObjective_ = b;
      return b;
    } else {
      return (com.google.protobuf.ByteString) ref;
    }
  }

  public static final int TRAIN_BUDGET_MILLI_NODE_HOURS_FIELD_NUMBER = 7;
  private long trainBudgetMilliNodeHours_ = 0L;
  /**
   *
   *
   * <pre>
   * Required. The train budget of creating this model, expressed in milli node
   * hours i.e. 1,000 value in this field means 1 node hour.
   *
   * The training cost of the model will not exceed this budget. The final cost
   * will be attempted to be close to the budget, though may end up being (even)
   * noticeably smaller - at the backend's discretion. This especially may
   * happen when further model training ceases to provide any improvements.
   *
   * If the budget is set to a value known to be insufficient to train a
   * model for the given dataset, the training won't be attempted and
   * will error.
   *
   * The train budget must be between 1,000 and 72,000 milli node hours,
   * inclusive.
   * </pre>
   *
   * <code>int64 train_budget_milli_node_hours = 7;</code>
   *
   * @return The trainBudgetMilliNodeHours.
   */
  @java.lang.Override
  public long getTrainBudgetMilliNodeHours() {
    return trainBudgetMilliNodeHours_;
  }

  public static final int DISABLE_EARLY_STOPPING_FIELD_NUMBER = 8;
  private boolean disableEarlyStopping_ = false;
  /**
   *
   *
   * <pre>
   * Use the entire training budget. This disables the early stopping feature.
   * By default, the early stopping feature is enabled, which means that AutoML
   * Tables might stop training before the entire training budget has been used.
   * </pre>
   *
   * <code>bool disable_early_stopping = 8;</code>
   *
   * @return The disableEarlyStopping.
   */
  @java.lang.Override
  public boolean getDisableEarlyStopping() {
    return disableEarlyStopping_;
  }

  public static final int WEIGHT_COLUMN_NAME_FIELD_NUMBER = 9;

  @SuppressWarnings("serial")
  private volatile java.lang.Object weightColumnName_ = "";
  /**
   *
   *
   * <pre>
   * Column name that should be used as the weight column.
   * Higher values in this column give more importance to the row
   * during model training. The column must have numeric values between 0 and
   * 10000 inclusively; 0 means the row is ignored for training. If weight
   * column field is not set, then all rows are assumed to have equal weight
   * of 1.
   * </pre>
   *
   * <code>string weight_column_name = 9;</code>
   *
   * @return The weightColumnName.
   */
  @java.lang.Override
  public java.lang.String getWeightColumnName() {
    java.lang.Object ref = weightColumnName_;
    if (ref instanceof java.lang.String) {
      return (java.lang.String) ref;
    } else {
      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
      java.lang.String s = bs.toStringUtf8();
      weightColumnName_ = s;
      return s;
    }
  }
  /**
   *
   *
   * <pre>
   * Column name that should be used as the weight column.
   * Higher values in this column give more importance to the row
   * during model training. The column must have numeric values between 0 and
   * 10000 inclusively; 0 means the row is ignored for training. If weight
   * column field is not set, then all rows are assumed to have equal weight
   * of 1.
   * </pre>
   *
   * <code>string weight_column_name = 9;</code>
   *
   * @return The bytes for weightColumnName.
   */
  @java.lang.Override
  public com.google.protobuf.ByteString getWeightColumnNameBytes() {
    java.lang.Object ref = weightColumnName_;
    if (ref instanceof java.lang.String) {
      com.google.protobuf.ByteString b =
          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
      weightColumnName_ = b;
      return b;
    } else {
      return (com.google.protobuf.ByteString) ref;
    }
  }

  public static final int EXPORT_EVALUATED_DATA_ITEMS_CONFIG_FIELD_NUMBER = 10;
  private com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
          .ExportEvaluatedDataItemsConfig
      exportEvaluatedDataItemsConfig_;
  /**
   *
   *
   * <pre>
   * Configuration for exporting test set predictions to a BigQuery table. If
   * this configuration is absent, then the export is not performed.
   * </pre>
   *
   * <code>
   * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.ExportEvaluatedDataItemsConfig export_evaluated_data_items_config = 10;
   * </code>
   *
   * @return Whether the exportEvaluatedDataItemsConfig field is set.
   */
  @java.lang.Override
  public boolean hasExportEvaluatedDataItemsConfig() {
    return exportEvaluatedDataItemsConfig_ != null;
  }
  /**
   *
   *
   * <pre>
   * Configuration for exporting test set predictions to a BigQuery table. If
   * this configuration is absent, then the export is not performed.
   * </pre>
   *
   * <code>
   * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.ExportEvaluatedDataItemsConfig export_evaluated_data_items_config = 10;
   * </code>
   *
   * @return The exportEvaluatedDataItemsConfig.
   */
  @java.lang.Override
  public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
          .ExportEvaluatedDataItemsConfig
      getExportEvaluatedDataItemsConfig() {
    return exportEvaluatedDataItemsConfig_ == null
        ? com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
            .ExportEvaluatedDataItemsConfig.getDefaultInstance()
        : exportEvaluatedDataItemsConfig_;
  }
  /**
   *
   *
   * <pre>
   * Configuration for exporting test set predictions to a BigQuery table. If
   * this configuration is absent, then the export is not performed.
   * </pre>
   *
   * <code>
   * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.ExportEvaluatedDataItemsConfig export_evaluated_data_items_config = 10;
   * </code>
   */
  @java.lang.Override
  public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
          .ExportEvaluatedDataItemsConfigOrBuilder
      getExportEvaluatedDataItemsConfigOrBuilder() {
    return exportEvaluatedDataItemsConfig_ == null
        ? com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
            .ExportEvaluatedDataItemsConfig.getDefaultInstance()
        : exportEvaluatedDataItemsConfig_;
  }

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      return this;
    }

    @java.lang.Override
    public final boolean isInitialized() {
      return true;
    }

    @java.lang.Override
    public Builder mergeFrom(
        com.google.protobuf.CodedInputStream input,
        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
        throws java.io.IOException {
      if (extensionRegistry == null) {
        throw new java.lang.NullPointerException();
      }
      try {
        boolean done = false;
        while (!done) {
          int tag = input.readTag();
          switch (tag) {
            case 0:
              done = true;
              break;
            case 10:
              {
                predictionType_ = input.readStringRequireUtf8();
                bitField0_ |= 0x00000004;
                break;
              } // case 10
            case 18:
              {
                targetColumn_ = input.readStringRequireUtf8();
                bitField0_ |= 0x00000008;
                break;
              } // case 18
            case 26:
              {
                com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                        .Transformation
                    m =
                        input.readMessage(
                            com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                                .AutoMlTablesInputs.Transformation.parser(),
                            extensionRegistry);
                if (transformationsBuilder_ == null) {
                  ensureTransformationsIsMutable();
                  transformations_.add(m);
                } else {
                  transformationsBuilder_.addMessage(m);
                }
                break;
              } // case 26
            case 34:
              {
                optimizationObjective_ = input.readStringRequireUtf8();
                bitField0_ |= 0x00000020;
                break;
              } // case 34
            case 45:
              {
                additionalOptimizationObjectiveConfig_ = input.readFloat();
                additionalOptimizationObjectiveConfigCase_ = 5;
                break;
              } // case 45
            case 53:
              {
                additionalOptimizationObjectiveConfig_ = input.readFloat();
                additionalOptimizationObjectiveConfigCase_ = 6;
                break;
              } // case 53
            case 56:
              {
                trainBudgetMilliNodeHours_ = input.readInt64();
                bitField0_ |= 0x00000040;
                break;
              } // case 56
            case 64:
              {
                disableEarlyStopping_ = input.readBool();
                bitField0_ |= 0x00000080;
                break;
              } // case 64
            case 74:
              {
                weightColumnName_ = input.readStringRequireUtf8();
                bitField0_ |= 0x00000100;
                break;
              } // case 74
            case 82:
              {
                input.readMessage(
                    getExportEvaluatedDataItemsConfigFieldBuilder().getBuilder(),
                    extensionRegistry);
                bitField0_ |= 0x00000200;
                break;
              } // case 82
            case 90:
              {
                java.lang.String s = input.readStringRequireUtf8();
                ensureAdditionalExperimentsIsMutable();
                additionalExperiments_.add(s);
                break;
              } // case 90
            default:
              {
                if (!super.parseUnknownField(input, extensionRegistry, tag)) {
                  done = true; // was an endgroup tag
                }
                break;
              } // default:
          } // switch (tag)
        } // while (!done)
      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
        throw e.unwrapIOException();
      } finally {
        onChanged();
      } // finally
      return this;
    }

    private int additionalOptimizationObjectiveConfigCase_ = 0;
    private java.lang.Object additionalOptimizationObjectiveConfig_;

    public AdditionalOptimizationObjectiveConfigCase
        getAdditionalOptimizationObjectiveConfigCase() {
      return AdditionalOptimizationObjectiveConfigCase.forNumber(
          additionalOptimizationObjectiveConfigCase_);
    }

    public Builder clearAdditionalOptimizationObjectiveConfig() {
      additionalOptimizationObjectiveConfigCase_ = 0;
      additionalOptimizationObjectiveConfig_ = null;
      onChanged();
      return this;
    }

    private int bitField0_;

    /**
     *
     *
     * <pre>
     * Required when optimization_objective is "maximize-precision-at-recall".
     * Must be between 0 and 1, inclusive.
     * </pre>
     *
     * <code>float optimization_objective_recall_value = 5;</code>
     *
     * @return Whether the optimizationObjectiveRecallValue field is set.
     */
    public boolean hasOptimizationObjectiveRecallValue() {
      return additionalOptimizationObjectiveConfigCase_ == 5;
    }
    /**
     *
     *
     * <pre>
     * Required when optimization_objective is "maximize-precision-at-recall".
     * Must be between 0 and 1, inclusive.
     * </pre>
     *
     * <code>float optimization_objective_recall_value = 5;</code>
     *
     * @return The optimizationObjectiveRecallValue.
     */
    public float getOptimizationObjectiveRecallValue() {
      if (additionalOptimizationObjectiveConfigCase_ == 5) {
        return (java.lang.Float) additionalOptimizationObjectiveConfig_;
      }
      return 0F;
    }
    /**
     *
     *
     * <pre>
     * Required when optimization_objective is "maximize-precision-at-recall".
     * Must be between 0 and 1, inclusive.
     * </pre>
     *
     * <code>float optimization_objective_recall_value = 5;</code>
     *
     * @param value The optimizationObjectiveRecallValue to set.
     * @return This builder for chaining.
     */
    public Builder setOptimizationObjectiveRecallValue(float value) {

      additionalOptimizationObjectiveConfigCase_ = 5;
      additionalOptimizationObjectiveConfig_ = value;
      onChanged();
      return this;
    }
    /**
     *
     *
     * <pre>
     * Required when optimization_objective is "maximize-precision-at-recall".
     * Must be between 0 and 1, inclusive.
     * </pre>
     *
     * <code>float optimization_objective_recall_value = 5;</code>
     *
     * @return This builder for chaining.
     */
    public Builder clearOptimizationObjectiveRecallValue() {
      if (additionalOptimizationObjectiveConfigCase_ == 5) {
        additionalOptimizationObjectiveConfigCase_ = 0;
        additionalOptimizationObjectiveConfig_ = null;
        onChanged();
      }
      return this;
    }

    /**
     *
     *
     * <pre>
     * Required when optimization_objective is "maximize-recall-at-precision".
     * Must be between 0 and 1, inclusive.
     * </pre>
     *
     * <code>float optimization_objective_precision_value = 6;</code>
     *
     * @return Whether the optimizationObjectivePrecisionValue field is set.
     */
    public boolean hasOptimizationObjectivePrecisionValue() {
      return additionalOptimizationObjectiveConfigCase_ == 6;
    }
    /**
     *
     *
     * <pre>
     * Required when optimization_objective is "maximize-recall-at-precision".
     * Must be between 0 and 1, inclusive.
     * </pre>
     *
     * <code>float optimization_objective_precision_value = 6;</code>
     *
     * @return The optimizationObjectivePrecisionValue.
     */
    public float getOptimizationObjectivePrecisionValue() {
      if (additionalOptimizationObjectiveConfigCase_ == 6) {
        return (java.lang.Float) additionalOptimizationObjectiveConfig_;
      }
      return 0F;
    }
    /**
     *
     *
     * <pre>
     * Required when optimization_objective is "maximize-recall-at-precision".
     * Must be between 0 and 1, inclusive.
     * </pre>
     *
     * <code>float optimization_objective_precision_value = 6;</code>
     *
     * @param value The optimizationObjectivePrecisionValue to set.
     * @return This builder for chaining.
     */
    public Builder setOptimizationObjectivePrecisionValue(float value) {

      additionalOptimizationObjectiveConfigCase_ = 6;
      additionalOptimizationObjectiveConfig_ = value;
      onChanged();
      return this;
    }
    /**
     *
     *
     * <pre>
     * Required when optimization_objective is "maximize-recall-at-precision".
     * Must be between 0 and 1, inclusive.
     * </pre>
     *
     * <code>float optimization_objective_precision_value = 6;</code>
     *
     * @return This builder for chaining.
     */
    public Builder clearOptimizationObjectivePrecisionValue() {
      if (additionalOptimizationObjectiveConfigCase_ == 6) {
        additionalOptimizationObjectiveConfigCase_ = 0;
        additionalOptimizationObjectiveConfig_ = null;
        onChanged();
      }
      return this;
    }

    private java.lang.Object predictionType_ = "";
    /**
     *
     *
     * <pre>
     * The type of prediction the Model is to produce.
     *   "classification" - Predict one out of multiple target values is
     *                      picked for each row.
     *   "regression" - Predict a value based on its relation to other values.
     *                  This type is available only to columns that contain
     *                  semantically numeric values, i.e. integers or floating
     *                  point number, even if stored as e.g. strings.
     * </pre>
     *
     * <code>string prediction_type = 1;</code>
     *
     * @return The predictionType.
     */
    public java.lang.String getPredictionType() {
      java.lang.Object ref = predictionType_;
      if (!(ref instanceof java.lang.String)) {
        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
        java.lang.String s = bs.toStringUtf8();
        predictionType_ = s;
        return s;
      } else {
        return (java.lang.String) ref;
      }
    }
    /**
     *
     *
     * <pre>
     * The type of prediction the Model is to produce.
     *   "classification" - Predict one out of multiple target values is
     *                      picked for each row.
     *   "regression" - Predict a value based on its relation to other values.
     *                  This type is available only to columns that contain
     *                  semantically numeric values, i.e. integers or floating
     *                  point number, even if stored as e.g. strings.
     * </pre>
     *
     * <code>string prediction_type = 1;</code>
     *
     * @return The bytes for predictionType.
     */
    public com.google.protobuf.ByteString getPredictionTypeBytes() {
      java.lang.Object ref = predictionType_;
      if (ref instanceof String) {
        com.google.protobuf.ByteString b =
            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
        predictionType_ = b;
        return b;
      } else {
        return (com.google.protobuf.ByteString) ref;
      }
    }
    /**
     *
     *
     * <pre>
     * The type of prediction the Model is to produce.
     *   "classification" - Predict one out of multiple target values is
     *                      picked for each row.
     *   "regression" - Predict a value based on its relation to other values.
     *                  This type is available only to columns that contain
     *                  semantically numeric values, i.e. integers or floating
     *                  point number, even if stored as e.g. strings.
     * </pre>
     *
     * <code>string prediction_type = 1;</code>
     *
     * @param value The predictionType to set.
     * @return This builder for chaining.
     */
    public Builder setPredictionType(java.lang.String value) {
      if (value == null) {
        throw new NullPointerException();
      }
      predictionType_ = value;
      bitField0_ |= 0x00000004;
      onChanged();
      return this;
    }
    /**
     *
     *
     * <pre>
     * The type of prediction the Model is to produce.
     *   "classification" - Predict one out of multiple target values is
     *                      picked for each row.
     *   "regression" - Predict a value based on its relation to other values.
     *                  This type is available only to columns that contain
     *                  semantically numeric values, i.e. integers or floating
     *                  point number, even if stored as e.g. strings.
     * </pre>
     *
     * <code>string prediction_type = 1;</code>
     *
     * @return This builder for chaining.
     */
    public Builder clearPredictionType() {
      predictionType_ = getDefaultInstance().getPredictionType();
      bitField0_ = (bitField0_ & ~0x00000004);
      onChanged();
      return this;
    }
    /**
     *
     *
     * <pre>
     * The type of prediction the Model is to produce.
     *   "classification" - Predict one out of multiple target values is
     *                      picked for each row.
     *   "regression" - Predict a value based on its relation to other values.
     *                  This type is available only to columns that contain
     *                  semantically numeric values, i.e. integers or floating
     *                  point number, even if stored as e.g. strings.
     * </pre>
     *
     * <code>string prediction_type = 1;</code>
     *
     * @param value The bytes for predictionType to set.
     * @return This builder for chaining.
     */
    public Builder setPredictionTypeBytes(com.google.protobuf.ByteString value) {
      if (value == null) {
        throw new NullPointerException();
      }
      checkByteStringIsUtf8(value);
      predictionType_ = value;
      bitField0_ |= 0x00000004;
      onChanged();
      return this;
    }

    private java.lang.Object targetColumn_ = "";
    /**
     *
     *
     * <pre>
     * The column name of the target column that the model is to predict.
     * </pre>
     *
     * <code>string target_column = 2;</code>
     *
     * @return The targetColumn.
     */
    public java.lang.String getTargetColumn() {
      java.lang.Object ref = targetColumn_;
      if (!(ref instanceof java.lang.String)) {
        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
        java.lang.String s = bs.toStringUtf8();
        targetColumn_ = s;
        return s;
      } else {
        return (java.lang.String) ref;
      }
    }
    /**
     *
     *
     * <pre>
     * The column name of the target column that the model is to predict.
     * </pre>
     *
     * <code>string target_column = 2;</code>
     *
     * @return The bytes for targetColumn.
     */
    public com.google.protobuf.ByteString getTargetColumnBytes() {
      java.lang.Object ref = targetColumn_;
      if (ref instanceof String) {
        com.google.protobuf.ByteString b =
            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
        targetColumn_ = b;
        return b;
      } else {
        return (com.google.protobuf.ByteString) ref;
      }
    }
    /**
     *
     *
     * <pre>
     * The column name of the target column that the model is to predict.
     * </pre>
     *
     * <code>string target_column = 2;</code>
     *
     * @param value The targetColumn to set.
     * @return This builder for chaining.
     */
    public Builder setTargetColumn(java.lang.String value) {
      if (value == null) {
        throw new NullPointerException();
      }
      targetColumn_ = value;
      bitField0_ |= 0x00000008;
      onChanged();
      return this;
    }
    /**
     *
     *
     * <pre>
     * The column name of the target column that the model is to predict.
     * </pre>
     *
     * <code>string target_column = 2;</code>
     *
     * @return This builder for chaining.
     */
    public Builder clearTargetColumn() {
      targetColumn_ = getDefaultInstance().getTargetColumn();
      bitField0_ = (bitField0_ & ~0x00000008);
      onChanged();
      return this;
    }
    /**
     *
     *
     * <pre>
     * The column name of the target column that the model is to predict.
     * </pre>
     *
     * <code>string target_column = 2;</code>
     *
     * @param value The bytes for targetColumn to set.
     * @return This builder for chaining.
     */
    public Builder setTargetColumnBytes(com.google.protobuf.ByteString value) {
      if (value == null) {
        throw new NullPointerException();
      }
      checkByteStringIsUtf8(value);
      targetColumn_ = value;
      bitField0_ |= 0x00000008;
      onChanged();
      return this;
    }

    private java.util.List<
            com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                .Transformation>
        transformations_ = java.util.Collections.emptyList();

    private void ensureTransformationsIsMutable() {
      if (!((bitField0_ & 0x00000010) != 0)) {
        transformations_ =
            new java.util.ArrayList<
                com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                    .Transformation>(transformations_);
        bitField0_ |= 0x00000010;
      }
    }

    private com.google.protobuf.RepeatedFieldBuilderV3<
            com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                .Transformation,
            com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                .Transformation.Builder,
            com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                .TransformationOrBuilder>
        transformationsBuilder_;

    /**
     *
     *
     * <pre>
     * Each transformation will apply transform function to given input column.
     * And the result will be used for training.
     * When creating transformation for BigQuery Struct column, the column should
     * be flattened using "." as the delimiter.
     * </pre>
     *
     * <code>
     * repeated .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation transformations = 3;
     * </code>
     */
    public java.util.List<
            com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                .Transformation>
        getTransformationsList() {
      if (transformationsBuilder_ == null) {
        return java.util.Collections.unmodifiableList(transformations_);
      } else {
        return transformationsBuilder_.getMessageList();
      }
    }
    /**
     *
     *
     * <pre>
     * Each transformation will apply transform function to given input column.
     * And the result will be used for training.
     * When creating transformation for BigQuery Struct column, the column should
     * be flattened using "." as the delimiter.
     * </pre>
     *
     * <code>
     * repeated .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation transformations = 3;
     * </code>
     */
    public int getTransformationsCount() {
      if (transformationsBuilder_ == null) {
        return transformations_.size();
      } else {
        return transformationsBuilder_.getCount();
      }
    }
    /**
     *
     *
     * <pre>
     * Each transformation will apply transform function to given input column.
     * And the result will be used for training.
     * When creating transformation for BigQuery Struct column, the column should
     * be flattened using "." as the delimiter.
     * </pre>
     *
     * <code>
     * repeated .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation transformations = 3;
     * </code>
     */
    public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
            .Transformation
        getTransformations(int index) {
      if (transformationsBuilder_ == null) {
        return transformations_.get(index);
      } else {
        return transformationsBuilder_.getMessage(index);
      }
    }
    /**
     *
     *
     * <pre>
     * Each transformation will apply transform function to given input column.
     * And the result will be used for training.
     * When creating transformation for BigQuery Struct column, the column should
     * be flattened using "." as the delimiter.
     * </pre>
     *
     * <code>
     * repeated .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation transformations = 3;
     * </code>
     */
    public Builder setTransformations(
        int index,
        com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                .Transformation
            value) {
      if (transformationsBuilder_ == null) {
        if (value == null) {
          throw new NullPointerException();
        }
        ensureTransformationsIsMutable();
        transformations_.set(index, value);
        onChanged();
      } else {
        transformationsBuilder_.setMessage(index, value);
      }
      return this;
    }
    /**
     *
     *
     * <pre>
     * Each transformation will apply transform function to given input column.
     * And the result will be used for training.
     * When creating transformation for BigQuery Struct column, the column should
     * be flattened using "." as the delimiter.
     * </pre>
     *
     * <code>
     * repeated .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation transformations = 3;
     * </code>
     */
    public Builder setTransformations(
        int index,
        com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                .Transformation.Builder
            builderForValue) {
      if (transformationsBuilder_ == null) {
        ensureTransformationsIsMutable();
        transformations_.set(index, builderForValue.build());
        onChanged();
      } else {
        transformationsBuilder_.setMessage(index, builderForValue.build());
      }
      return this;
    }
    /**
     *
     *
     * <pre>
     * Each transformation will apply transform function to given input column.
     * And the result will be used for training.
     * When creating transformation for BigQuery Struct column, the column should
     * be flattened using "." as the delimiter.
     * </pre>
     *
     * <code>
     * repeated .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation transformations = 3;
     * </code>
     */
    public Builder addTransformations(
        com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                .Transformation
            value) {
      if (transformationsBuilder_ == null) {
        if (value == null) {
          throw new NullPointerException();
        }
        ensureTransformationsIsMutable();
        transformations_.add(value);
        onChanged();
      } else {
        transformationsBuilder_.addMessage(value);
      }
      return this;
    }
    /**
     *
     *
     * <pre>
     * Each transformation will apply transform function to given input column.
     * And the result will be used for training.
     * When creating transformation for BigQuery Struct column, the column should
     * be flattened using "." as the delimiter.
     * </pre>
     *
     * <code>
     * repeated .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation transformations = 3;
     * </code>
     */
    public Builder addTransformations(
        int index,
        com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                .Transformation
            value) {
      if (transformationsBuilder_ == null) {
        if (value == null) {
          throw new NullPointerException();
        }
        ensureTransformationsIsMutable();
        transformations_.add(index, value);
        onChanged();
      } else {
        transformationsBuilder_.addMessage(index, value);
      }
      return this;
    }
    /**
     *
     *
     * <pre>
     * Each transformation will apply transform function to given input column.
     * And the result will be used for training.
     * When creating transformation for BigQuery Struct column, the column should
     * be flattened using "." as the delimiter.
     * </pre>
     *
     * <code>
     * repeated .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation transformations = 3;
     * </code>
     */
    public Builder addTransformations(
        com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                .Transformation.Builder
            builderForValue) {
      if (transformationsBuilder_ == null) {
        ensureTransformationsIsMutable();
        transformations_.add(builderForValue.build());
        onChanged();
      } else {
        transformationsBuilder_.addMessage(builderForValue.build());
      }
      return this;
    }
    /**
     *
     *
     * <pre>
     * Each transformation will apply transform function to given input column.
     * And the result will be used for training.
     * When creating transformation for BigQuery Struct column, the column should
     * be flattened using "." as the delimiter.
     * </pre>
     *
     * <code>
     * repeated .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation transformations = 3;
     * </code>
     */
    public Builder addTransformations(
        int index,
        com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                .Transformation.Builder
            builderForValue) {
      if (transformationsBuilder_ == null) {
        ensureTransformationsIsMutable();
        transformations_.add(index, builderForValue.build());
        onChanged();
      } else {
        transformationsBuilder_.addMessage(index, builderForValue.build());
      }
      return this;
    }
    /**
     *
     *
     * <pre>
     * Each transformation will apply transform function to given input column.
     * And the result will be used for training.
     * When creating transformation for BigQuery Struct column, the column should
     * be flattened using "." as the delimiter.
     * </pre>
     *
     * <code>
     * repeated .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation transformations = 3;
     * </code>
     */
    public Builder addAllTransformations(
        java.lang.Iterable<
                ? extends
                    com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                        .AutoMlTablesInputs.Transformation>
            values) {
      if (transformationsBuilder_ == null) {
        ensureTransformationsIsMutable();
        com.google.protobuf.AbstractMessageLite.Builder.addAll(values, transformations_);
        onChanged();
      } else {
        transformationsBuilder_.addAllMessages(values);
      }
      return this;
    }
    /**
     *
     *
     * <pre>
     * Each transformation will apply transform function to given input column.
     * And the result will be used for training.
     * When creating transformation for BigQuery Struct column, the column should
     * be flattened using "." as the delimiter.
     * </pre>
     *
     * <code>
     * repeated .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation transformations = 3;
     * </code>
     */
    public Builder clearTransformations() {
      if (transformationsBuilder_ == null) {
        transformations_ = java.util.Collections.emptyList();
        bitField0_ = (bitField0_ & ~0x00000010);
        onChanged();
      } else {
        transformationsBuilder_.clear();
      }
      return this;
    }
    /**
     *
     *
     * <pre>
     * Each transformation will apply transform function to given input column.
     * And the result will be used for training.
     * When creating transformation for BigQuery Struct column, the column should
     * be flattened using "." as the delimiter.
     * </pre>
     *
     * <code>
     * repeated .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation transformations = 3;
     * </code>
     */
    public Builder removeTransformations(int index) {
      if (transformationsBuilder_ == null) {
        ensureTransformationsIsMutable();
        transformations_.remove(index);
        onChanged();
      } else {
        transformationsBuilder_.remove(index);
      }
      return this;
    }
    /**
     *
     *
     * <pre>
     * Each transformation will apply transform function to given input column.
     * And the result will be used for training.
     * When creating transformation for BigQuery Struct column, the column should
     * be flattened using "." as the delimiter.
     * </pre>
     *
     * <code>
     * repeated .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation transformations = 3;
     * </code>
     */
    public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
            .Transformation.Builder
        getTransformationsBuilder(int index) {
      return getTransformationsFieldBuilder().getBuilder(index);
    }
    /**
     *
     *
     * <pre>
     * Each transformation will apply transform function to given input column.
     * And the result will be used for training.
     * When creating transformation for BigQuery Struct column, the column should
     * be flattened using "." as the delimiter.
     * </pre>
     *
     * <code>
     * repeated .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation transformations = 3;
     * </code>
     */
    public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
            .TransformationOrBuilder
        getTransformationsOrBuilder(int index) {
      if (transformationsBuilder_ == null) {
        return transformations_.get(index);
      } else {
        return transformationsBuilder_.getMessageOrBuilder(index);
      }
    }
    /**
     *
     *
     * <pre>
     * Each transformation will apply transform function to given input column.
     * And the result will be used for training.
     * When creating transformation for BigQuery Struct column, the column should
     * be flattened using "." as the delimiter.
     * </pre>
     *
     * <code>
     * repeated .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation transformations = 3;
     * </code>
     */
    public java.util.List<
            ? extends
                com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                    .TransformationOrBuilder>
        getTransformationsOrBuilderList() {
      if (transformationsBuilder_ != null) {
        return transformationsBuilder_.getMessageOrBuilderList();
      } else {
        return java.util.Collections.unmodifiableList(transformations_);
      }
    }
    /**
     *
     *
     * <pre>
     * Each transformation will apply transform function to given input column.
     * And the result will be used for training.
     * When creating transformation for BigQuery Struct column, the column should
     * be flattened using "." as the delimiter.
     * </pre>
     *
     * <code>
     * repeated .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation transformations = 3;
     * </code>
     */
    public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
            .Transformation.Builder
        addTransformationsBuilder() {
      return getTransformationsFieldBuilder()
          .addBuilder(
              com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                  .Transformation.getDefaultInstance());
    }
    /**
     *
     *
     * <pre>
     * Each transformation will apply transform function to given input column.
     * And the result will be used for training.
     * When creating transformation for BigQuery Struct column, the column should
     * be flattened using "." as the delimiter.
     * </pre>
     *
     * <code>
     * repeated .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation transformations = 3;
     * </code>
     */
    public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
            .Transformation.Builder
        addTransformationsBuilder(int index) {
      return getTransformationsFieldBuilder()
          .addBuilder(
              index,
              com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                  .Transformation.getDefaultInstance());
    }
    /**
     *
     *
     * <pre>
     * Each transformation will apply transform function to given input column.
     * And the result will be used for training.
     * When creating transformation for BigQuery Struct column, the column should
     * be flattened using "." as the delimiter.
     * </pre>
     *
     * <code>
     * repeated .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation transformations = 3;
     * </code>
     */
    public java.util.List<
            com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                .Transformation.Builder>
        getTransformationsBuilderList() {
      return getTransformationsFieldBuilder().getBuilderList();
    }

    private com.google.protobuf.RepeatedFieldBuilderV3<
            com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                .Transformation,
            com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                .Transformation.Builder,
            com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                .TransformationOrBuilder>
        getTransformationsFieldBuilder() {
      if (transformationsBuilder_ == null) {
        transformationsBuilder_ =
            new com.google.protobuf.RepeatedFieldBuilderV3<
                com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                    .Transformation,
                com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                    .Transformation.Builder,
                com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
                    .TransformationOrBuilder>(
                transformations_,
                ((bitField0_ & 0x00000010) != 0),
                getParentForChildren(),
                isClean());
        transformations_ = null;
      }
      return transformationsBuilder_;
    }

    private java.lang.Object optimizationObjective_ = "";
    /**
     *
     *
     * <pre>
     * Objective function the model is optimizing towards. The training process
     * creates a model that maximizes/minimizes the value of the objective
     * function over the validation set.
     *
     * The supported optimization objectives depend on the prediction type.
     * If the field is not set, a default objective function is used.
     *
     * classification (binary):
     *   "maximize-au-roc" (default) - Maximize the area under the receiver
     *                                 operating characteristic (ROC) curve.
     *   "minimize-log-loss" - Minimize log loss.
     *   "maximize-au-prc" - Maximize the area under the precision-recall curve.
     *   "maximize-precision-at-recall" - Maximize precision for a specified
     *                                   recall value.
     *   "maximize-recall-at-precision" - Maximize recall for a specified
     *                                    precision value.
     *
     * classification (multi-class):
     *   "minimize-log-loss" (default) - Minimize log loss.
     *
     * regression:
     *   "minimize-rmse" (default) - Minimize root-mean-squared error (RMSE).
     *   "minimize-mae" - Minimize mean-absolute error (MAE).
     *   "minimize-rmsle" - Minimize root-mean-squared log error (RMSLE).
     * </pre>
     *
     * <code>string optimization_objective = 4;</code>
     *
     * @return The optimizationObjective.
     */
    public java.lang.String getOptimizationObjective() {
      java.lang.Object ref = optimizationObjective_;
      if (!(ref instanceof java.lang.String)) {
        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
        java.lang.String s = bs.toStringUtf8();
        optimizationObjective_ = s;
        return s;
      } else {
        return (java.lang.String) ref;
      }
    }
    /**
     *
     *
     * <pre>
     * Objective function the model is optimizing towards. The training process
     * creates a model that maximizes/minimizes the value of the objective
     * function over the validation set.
     *
     * The supported optimization objectives depend on the prediction type.
     * If the field is not set, a default objective function is used.
     *
     * classification (binary):
     *   "maximize-au-roc" (default) - Maximize the area under the receiver
     *                                 operating characteristic (ROC) curve.
     *   "minimize-log-loss" - Minimize log loss.
     *   "maximize-au-prc" - Maximize the area under the precision-recall curve.
     *   "maximize-precision-at-recall" - Maximize precision for a specified
     *                                   recall value.
     *   "maximize-recall-at-precision" - Maximize recall for a specified
     *                                    precision value.
     *
     * classification (multi-class):
     *   "minimize-log-loss" (default) - Minimize log loss.
     *
     * regression:
     *   "minimize-rmse" (default) - Minimize root-mean-squared error (RMSE).
     *   "minimize-mae" - Minimize mean-absolute error (MAE).
     *   "minimize-rmsle" - Minimize root-mean-squared log error (RMSLE).
     * </pre>
     *
     * <code>string optimization_objective = 4;</code>
     *
     * @return The bytes for optimizationObjective.
     */
    public com.google.protobuf.ByteString getOptimizationObjectiveBytes() {
      java.lang.Object ref = optimizationObjective_;
      if (ref instanceof String) {
        com.google.protobuf.ByteString b =
            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
        optimizationObjective_ = b;
        return b;
      } else {
        return (com.google.protobuf.ByteString) ref;
      }
    }
    /**
     *
     *
     * <pre>
     * Objective function the model is optimizing towards. The training process
     * creates a model that maximizes/minimizes the value of the objective
     * function over the validation set.
     *
     * The supported optimization objectives depend on the prediction type.
     * If the field is not set, a default objective function is used.
     *
     * classification (binary):
     *   "maximize-au-roc" (default) - Maximize the area under the receiver
     *                                 operating characteristic (ROC) curve.
     *   "minimize-log-loss" - Minimize log loss.
     *   "maximize-au-prc" - Maximize the area under the precision-recall curve.
     *   "maximize-precision-at-recall" - Maximize precision for a specified
     *                                   recall value.
     *   "maximize-recall-at-precision" - Maximize recall for a specified
     *                                    precision value.
     *
     * classification (multi-class):
     *   "minimize-log-loss" (default) - Minimize log loss.
     *
     * regression:
     *   "minimize-rmse" (default) - Minimize root-mean-squared error (RMSE).
     *   "minimize-mae" - Minimize mean-absolute error (MAE).
     *   "minimize-rmsle" - Minimize root-mean-squared log error (RMSLE).
     * </pre>
     *
     * <code>string optimization_objective = 4;</code>
     *
     * @param value The optimizationObjective to set.
     * @return This builder for chaining.
     */
    public Builder setOptimizationObjective(java.lang.String value) {
      if (value == null) {
        throw new NullPointerException();
      }
      optimizationObjective_ = value;
      bitField0_ |= 0x00000020;
      onChanged();
      return this;
    }
    /**
     *
     *
     * <pre>
     * Objective function the model is optimizing towards. The training process
     * creates a model that maximizes/minimizes the value of the objective
     * function over the validation set.
     *
     * The supported optimization objectives depend on the prediction type.
     * If the field is not set, a default objective function is used.
     *
     * classification (binary):
     *   "maximize-au-roc" (default) - Maximize the area under the receiver
     *                                 operating characteristic (ROC) curve.
     *   "minimize-log-loss" - Minimize log loss.
     *   "maximize-au-prc" - Maximize the area under the precision-recall curve.
     *   "maximize-precision-at-recall" - Maximize precision for a specified
     *                                   recall value.
     *   "maximize-recall-at-precision" - Maximize recall for a specified
     *                                    precision value.
     *
     * classification (multi-class):
     *   "minimize-log-loss" (default) - Minimize log loss.
     *
     * regression:
     *   "minimize-rmse" (default) - Minimize root-mean-squared error (RMSE).
     *   "minimize-mae" - Minimize mean-absolute error (MAE).
     *   "minimize-rmsle" - Minimize root-mean-squared log error (RMSLE).
     * </pre>
     *
     * <code>string optimization_objective = 4;</code>
     *
     * @return This builder for chaining.
     */
    public Builder clearOptimizationObjective() {
      optimizationObjective_ = getDefaultInstance().getOptimizationObjective();
      bitField0_ = (bitField0_ & ~0x00000020);
      onChanged();
      return this;
    }
    /**
     *
     *
     * <pre>
     * Objective function the model is optimizing towards. The training process
     * creates a model that maximizes/minimizes the value of the objective
     * function over the validation set.
     *
     * The supported optimization objectives depend on the prediction type.
     * If the field is not set, a default objective function is used.
     *
     * classification (binary):
     *   "maximize-au-roc" (default) - Maximize the area under the receiver
     *                                 operating characteristic (ROC) curve.
     *   "minimize-log-loss" - Minimize log loss.
     *   "maximize-au-prc" - Maximize the area under the precision-recall curve.
     *   "maximize-precision-at-recall" - Maximize precision for a specified
     *                                   recall value.
     *   "maximize-recall-at-precision" - Maximize recall for a specified
     *                                    precision value.
     *
     * classification (multi-class):
     *   "minimize-log-loss" (default) - Minimize log loss.
     *
     * regression:
     *   "minimize-rmse" (default) - Minimize root-mean-squared error (RMSE).
     *   "minimize-mae" - Minimize mean-absolute error (MAE).
     *   "minimize-rmsle" - Minimize root-mean-squared log error (RMSLE).
     * </pre>
     *
     * <code>string optimization_objective = 4;</code>
     *
     * @param value The bytes for optimizationObjective to set.
     * @return This builder for chaining.
     */
    public Builder setOptimizationObjectiveBytes(com.google.protobuf.ByteString value) {
      if (value == null) {
        throw new NullPointerException();
      }
      checkByteStringIsUtf8(value);
      optimizationObjective_ = value;
      bitField0_ |= 0x00000020;
      onChanged();
      return this;
    }

    private long trainBudgetMilliNodeHours_;
    /**
     *
     *
     * <pre>
     * Required. The train budget of creating this model, expressed in milli node
     * hours i.e. 1,000 value in this field means 1 node hour.
     *
     * The training cost of the model will not exceed this budget. The final cost
     * will be attempted to be close to the budget, though may end up being (even)
     * noticeably smaller - at the backend's discretion. This especially may
     * happen when further model training ceases to provide any improvements.
     *
     * If the budget is set to a value known to be insufficient to train a
     * model for the given dataset, the training won't be attempted and
     * will error.
     *
     * The train budget must be between 1,000 and 72,000 milli node hours,
     * inclusive.
     * </pre>
     *
     * <code>int64 train_budget_milli_node_hours = 7;</code>
     *
     * @return The trainBudgetMilliNodeHours.
     */
    @java.lang.Override
    public long getTrainBudgetMilliNodeHours() {
      return trainBudgetMilliNodeHours_;
    }
    /**
     *
     *
     * <pre>
     * Required. The train budget of creating this model, expressed in milli node
     * hours i.e. 1,000 value in this field means 1 node hour.
     *
     * The training cost of the model will not exceed this budget. The final cost
     * will be attempted to be close to the budget, though may end up being (even)
     * noticeably smaller - at the backend's discretion. This especially may
     * happen when further model training ceases to provide any improvements.
     *
     * If the budget is set to a value known to be insufficient to train a
     * model for the given dataset, the training won't be attempted and
     * will error.
     *
     * The train budget must be between 1,000 and 72,000 milli node hours,
     * inclusive.
     * </pre>
     *
     * <code>int64 train_budget_milli_node_hours = 7;</code>
     *
     * @param value The trainBudgetMilliNodeHours to set.
     * @return This builder for chaining.
     */
    public Builder setTrainBudgetMilliNodeHours(long value) {

      trainBudgetMilliNodeHours_ = value;
      bitField0_ |= 0x00000040;
      onChanged();
      return this;
    }
    /**
     *
     *
     * <pre>
     * Required. The train budget of creating this model, expressed in milli node
     * hours i.e. 1,000 value in this field means 1 node hour.
     *
     * The training cost of the model will not exceed this budget. The final cost
     * will be attempted to be close to the budget, though may end up being (even)
     * noticeably smaller - at the backend's discretion. This especially may
     * happen when further model training ceases to provide any improvements.
     *
     * If the budget is set to a value known to be insufficient to train a
     * model for the given dataset, the training won't be attempted and
     * will error.
     *
     * The train budget must be between 1,000 and 72,000 milli node hours,
     * inclusive.
     * </pre>
     *
     * <code>int64 train_budget_milli_node_hours = 7;</code>
     *
     * @return This builder for chaining.
     */
    public Builder clearTrainBudgetMilliNodeHours() {
      bitField0_ = (bitField0_ & ~0x00000040);
      trainBudgetMilliNodeHours_ = 0L;
      onChanged();
      return this;
    }

    private boolean disableEarlyStopping_;
    /**
     *
     *
     * <pre>
     * Use the entire training budget. This disables the early stopping feature.
     * By default, the early stopping feature is enabled, which means that AutoML
     * Tables might stop training before the entire training budget has been used.
     * </pre>
     *
     * <code>bool disable_early_stopping = 8;</code>
     *
     * @return The disableEarlyStopping.
     */
    @java.lang.Override
    public boolean getDisableEarlyStopping() {
      return disableEarlyStopping_;
    }
    /**
     *
     *
     * <pre>
     * Use the entire training budget. This disables the early stopping feature.
     * By default, the early stopping feature is enabled, which means that AutoML
     * Tables might stop training before the entire training budget has been used.
     * </pre>
     *
     * <code>bool disable_early_stopping = 8;</code>
     *
     * @param value The disableEarlyStopping to set.
     * @return This builder for chaining.
     */
    public Builder setDisableEarlyStopping(boolean value) {

      disableEarlyStopping_ = value;
      bitField0_ |= 0x00000080;
      onChanged();
      return this;
    }
    /**
     *
     *
     * <pre>
     * Use the entire training budget. This disables the early stopping feature.
     * By default, the early stopping feature is enabled, which means that AutoML
     * Tables might stop training before the entire training budget has been used.
     * </pre>
     *
     * <code>bool disable_early_stopping = 8;</code>
     *
     * @return This builder for chaining.
     */
    public Builder clearDisableEarlyStopping() {
      bitField0_ = (bitField0_ & ~0x00000080);
      disableEarlyStopping_ = false;
      onChanged();
      return this;
    }

    private java.lang.Object weightColumnName_ = "";
    /**
     *
     *
     * <pre>
     * Column name that should be used as the weight column.
     * Higher values in this column give more importance to the row
     * during model training. The column must have numeric values between 0 and
     * 10000 inclusively; 0 means the row is ignored for training. If weight
     * column field is not set, then all rows are assumed to have equal weight
     * of 1.
     * </pre>
     *
     * <code>string weight_column_name = 9;</code>
     *
     * @return The weightColumnName.
     */
    public java.lang.String getWeightColumnName() {
      java.lang.Object ref = weightColumnName_;
      if (!(ref instanceof java.lang.String)) {
        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
        java.lang.String s = bs.toStringUtf8();
        weightColumnName_ = s;
        return s;
      } else {
        return (java.lang.String) ref;
      }
    }
    /**
     *
     *
     * <pre>
     * Column name that should be used as the weight column.
     * Higher values in this column give more importance to the row
     * during model training. The column must have numeric values between 0 and
     * 10000 inclusively; 0 means the row is ignored for training. If weight
     * column field is not set, then all rows are assumed to have equal weight
     * of 1.
     * </pre>
     *
     * <code>string weight_column_name = 9;</code>
     *
     * @return The bytes for weightColumnName.
     */
    public com.google.protobuf.ByteString getWeightColumnNameBytes() {
      java.lang.Object ref = weightColumnName_;
      if (ref instanceof String) {
        com.google.protobuf.ByteString b =
            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
        weightColumnName_ = b;
        return b;
      } else {
        return (com.google.protobuf.ByteString) ref;
      }
    }
    /**
     *
     *
     * <pre>
     * Column name that should be used as the weight column.
     * Higher values in this column give more importance to the row
     * during model training. The column must have numeric values between 0 and
     * 10000 inclusively; 0 means the row is ignored for training. If weight
     * column field is not set, then all rows are assumed to have equal weight
     * of 1.
     * </pre>
     *
     * <code>string weight_column_name = 9;</code>
     *
     * @param value The weightColumnName to set.
     * @return This builder for chaining.
     */
    public Builder setWeightColumnName(java.lang.String value) {
      if (value == null) {
        throw new NullPointerException();
      }
      weightColumnName_ = value;
      bitField0_ |= 0x00000100;
      onChanged();
      return this;
    }
    /**
     *
     *
     * <pre>
     * Column name that should be used as the weight column.
     * Higher values in this column give more importance to the row
     * during model training. The column must have numeric values between 0 and
     * 10000 inclusively; 0 means the row is ignored for training. If weight
     * column field is not set, then all rows are assumed to have equal weight
     * of 1.
     * </pre>
     *
     * <code>string weight_column_name = 9;</code>
     *
     * @return This builder for chaining.
     */
    public Builder clearWeightColumnName() {
      weightColumnName_ = getDefaultInstance().getWeightColumnName();
      bitField0_ = (bitField0_ & ~0x00000100);
      onChanged();
      return this;
    }
    /**
     *
     *
     * <pre>
     * Column name that should be used as the weight column.
     * Higher values in this column give more importance to the row
     * during model training. The column must have numeric values between 0 and
     * 10000 inclusively; 0 means the row is ignored for training. If weight
     * column field is not set, then all rows are assumed to have equal weight
     * of 1.
     * </pre>
     *
     * <code>string weight_column_name = 9;</code>
     *
     * @param value The bytes for weightColumnName to set.
     * @return This builder for chaining.
     */
    public Builder setWeightColumnNameBytes(com.google.protobuf.ByteString value) {
      if (value == null) {
        throw new NullPointerException();
      }
      checkByteStringIsUtf8(value);
      weightColumnName_ = value;
      bitField0_ |= 0x00000100;
      onChanged();
      return this;
    }

    private com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
            .ExportEvaluatedDataItemsConfig
        exportEvaluatedDataItemsConfig_;
    private com.google.protobuf.SingleFieldBuilderV3<
            com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                .ExportEvaluatedDataItemsConfig,
            com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                .ExportEvaluatedDataItemsConfig.Builder,
            com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                .ExportEvaluatedDataItemsConfigOrBuilder>
        exportEvaluatedDataItemsConfigBuilder_;
    /**
     *
     *
     * <pre>
     * Configuration for exporting test set predictions to a BigQuery table. If
     * this configuration is absent, then the export is not performed.
     * </pre>
     *
     * <code>
     * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.ExportEvaluatedDataItemsConfig export_evaluated_data_items_config = 10;
     * </code>
     *
     * @return Whether the exportEvaluatedDataItemsConfig field is set.
     */
    public boolean hasExportEvaluatedDataItemsConfig() {
      return ((bitField0_ & 0x00000200) != 0);
    }
    /**
     *
     *
     * <pre>
     * Configuration for exporting test set predictions to a BigQuery table. If
     * this configuration is absent, then the export is not performed.
     * </pre>
     *
     * <code>
     * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.ExportEvaluatedDataItemsConfig export_evaluated_data_items_config = 10;
     * </code>
     *
     * @return The exportEvaluatedDataItemsConfig.
     */
    public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
            .ExportEvaluatedDataItemsConfig
        getExportEvaluatedDataItemsConfig() {
      if (exportEvaluatedDataItemsConfigBuilder_ == null) {
        return exportEvaluatedDataItemsConfig_ == null
            ? com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                .ExportEvaluatedDataItemsConfig.getDefaultInstance()
            : exportEvaluatedDataItemsConfig_;
      } else {
        return exportEvaluatedDataItemsConfigBuilder_.getMessage();
      }
    }
    /**
     *
     *
     * <pre>
     * Configuration for exporting test set predictions to a BigQuery table. If
     * this configuration is absent, then the export is not performed.
     * </pre>
     *
     * <code>
     * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.ExportEvaluatedDataItemsConfig export_evaluated_data_items_config = 10;
     * </code>
     */
    public Builder setExportEvaluatedDataItemsConfig(
        com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                .ExportEvaluatedDataItemsConfig
            value) {
      if (exportEvaluatedDataItemsConfigBuilder_ == null) {
        if (value == null) {
          throw new NullPointerException();
        }
        exportEvaluatedDataItemsConfig_ = value;
      } else {
        exportEvaluatedDataItemsConfigBuilder_.setMessage(value);
      }
      bitField0_ |= 0x00000200;
      onChanged();
      return this;
    }
    /**
     *
     *
     * <pre>
     * Configuration for exporting test set predictions to a BigQuery table. If
     * this configuration is absent, then the export is not performed.
     * </pre>
     *
     * <code>
     * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.ExportEvaluatedDataItemsConfig export_evaluated_data_items_config = 10;
     * </code>
     */
    public Builder setExportEvaluatedDataItemsConfig(
        com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                .ExportEvaluatedDataItemsConfig.Builder
            builderForValue) {
      if (exportEvaluatedDataItemsConfigBuilder_ == null) {
        exportEvaluatedDataItemsConfig_ = builderForValue.build();
      } else {
        exportEvaluatedDataItemsConfigBuilder_.setMessage(builderForValue.build());
      }
      bitField0_ |= 0x00000200;
      onChanged();
      return this;
    }
    /**
     *
     *
     * <pre>
     * Configuration for exporting test set predictions to a BigQuery table. If
     * this configuration is absent, then the export is not performed.
     * </pre>
     *
     * <code>
     * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.ExportEvaluatedDataItemsConfig export_evaluated_data_items_config = 10;
     * </code>
     */
    public Builder mergeExportEvaluatedDataItemsConfig(
        com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                .ExportEvaluatedDataItemsConfig
            value) {
      if (exportEvaluatedDataItemsConfigBuilder_ == null) {
        if (((bitField0_ & 0x00000200) != 0)
            && exportEvaluatedDataItemsConfig_ != null
            && exportEvaluatedDataItemsConfig_
                != com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                    .ExportEvaluatedDataItemsConfig.getDefaultInstance()) {
          getExportEvaluatedDataItemsConfigBuilder().mergeFrom(value);
        } else {
          exportEvaluatedDataItemsConfig_ = value;
        }
      } else {
        exportEvaluatedDataItemsConfigBuilder_.mergeFrom(value);
      }
      bitField0_ |= 0x00000200;
      onChanged();
      return this;
    }
    /**
     *
     *
     * <pre>
     * Configuration for exporting test set predictions to a BigQuery table. If
     * this configuration is absent, then the export is not performed.
     * </pre>
     *
     * <code>
     * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.ExportEvaluatedDataItemsConfig export_evaluated_data_items_config = 10;
     * </code>
     */
    public Builder clearExportEvaluatedDataItemsConfig() {
      bitField0_ = (bitField0_ & ~0x00000200);
      exportEvaluatedDataItemsConfig_ = null;
      if (exportEvaluatedDataItemsConfigBuilder_ != null) {
        exportEvaluatedDataItemsConfigBuilder_.dispose();
        exportEvaluatedDataItemsConfigBuilder_ = null;
      }
      onChanged();
      return this;
    }
    /**
     *
     *
     * <pre>
     * Configuration for exporting test set predictions to a BigQuery table. If
     * this configuration is absent, then the export is not performed.
     * </pre>
     *
     * <code>
     * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.ExportEvaluatedDataItemsConfig export_evaluated_data_items_config = 10;
     * </code>
     */
    public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
            .ExportEvaluatedDataItemsConfig.Builder
        getExportEvaluatedDataItemsConfigBuilder() {
      bitField0_ |= 0x00000200;
      onChanged();
      return getExportEvaluatedDataItemsConfigFieldBuilder().getBuilder();
    }
    /**
     *
     *
     * <pre>
     * Configuration for exporting test set predictions to a BigQuery table. If
     * this configuration is absent, then the export is not performed.
     * </pre>
     *
     * <code>
     * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.ExportEvaluatedDataItemsConfig export_evaluated_data_items_config = 10;
     * </code>
     */
    public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
            .ExportEvaluatedDataItemsConfigOrBuilder
        getExportEvaluatedDataItemsConfigOrBuilder() {
      if (exportEvaluatedDataItemsConfigBuilder_ != null) {
        return exportEvaluatedDataItemsConfigBuilder_.getMessageOrBuilder();
      } else {
        return exportEvaluatedDataItemsConfig_ == null
            ? com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                .ExportEvaluatedDataItemsConfig.getDefaultInstance()
            : exportEvaluatedDataItemsConfig_;
      }
    }
    /**
     *
     *
     * <pre>
     * Configuration for exporting test set predictions to a BigQuery table. If
     * this configuration is absent, then the export is not performed.
     * </pre>
     *
     * <code>
     * .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.ExportEvaluatedDataItemsConfig export_evaluated_data_items_config = 10;
     * </code>
     */
    private com.google.protobuf.SingleFieldBuilderV3<
            com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                .ExportEvaluatedDataItemsConfig,
            com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                .ExportEvaluatedDataItemsConfig.Builder,
            com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                .ExportEvaluatedDataItemsConfigOrBuilder>
        getExportEvaluatedDataItemsConfigFieldBuilder() {
      if (exportEvaluatedDataItemsConfigBuilder_ == null) {
        exportEvaluatedDataItemsConfigBuilder_ =
            new com.google.protobuf.SingleFieldBuilderV3<
                com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                    .ExportEvaluatedDataItemsConfig,
                com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                    .ExportEvaluatedDataItemsConfig.Builder,
                com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
                    .ExportEvaluatedDataItemsConfigOrBuilder>(
                getExportEvaluatedDataItemsConfig(), getParentForChildren(), isClean());
        exportEvaluatedDataItemsConfig_ = null;
      }
      return exportEvaluatedDataItemsConfigBuilder_;
    }

    private com.google.protobuf.LazyStringArrayList additionalExperiments_ =
        com.google.protobuf.LazyStringArrayList.emptyList();

    private void ensureAdditionalExperimentsIsMutable() {
      if (!additionalExperiments_.isModifiable()) {
        additionalExperiments_ =
            new com.google.protobuf.LazyStringArrayList(additionalExperiments_);
      }
      bitField0_ |= 0x00000400;
    }
    /**
     *
     *
     * <pre>
     * Additional experiment flags for the Tables training pipeline.
     * </pre>
     *
     * <code>repeated string additional_experiments = 11;</code>
     *
     * @return A list containing the additionalExperiments.
     */
    public com.google.protobuf.ProtocolStringList getAdditionalExperimentsList() {
      additionalExperiments_.makeImmutable();
      return additionalExperiments_;
    }
    /**
     *
     *
     * <pre>
     * Additional experiment flags for the Tables training pipeline.
     * </pre>
     *
     * <code>repeated string additional_experiments = 11;</code>
     *
     * @return The count of additionalExperiments.
     */
    public int getAdditionalExperimentsCount() {
      return additionalExperiments_.size();
    }
    /**
     *
     *
     * <pre>
     * Additional experiment flags for the Tables training pipeline.
     * </pre>
     *
     * <code>repeated string additional_experiments = 11;</code>
     *
     * @param index The index of the element to return.
     * @return The additionalExperiments at the given index.
     */
    public java.lang.String getAdditionalExperiments(int index) {
      return additionalExperiments_.get(index);
    }
    /**
     *
     *
     * <pre>
     * Additional experiment flags for the Tables training pipeline.
     * </pre>
     *
     * <code>repeated string additional_experiments = 11;</code>
     *
     * @param index The index of the value to return.
     * @return The bytes of the additionalExperiments at the given index.
     */
    public com.google.protobuf.ByteString getAdditionalExperimentsBytes(int index) {
      return additionalExperiments_.getByteString(index);
    }
    /**
     *
     *
     * <pre>
     * Additional experiment flags for the Tables training pipeline.
     * </pre>
     *
     * <code>repeated string additional_experiments = 11;</code>
     *
     * @param index The index to set the value at.
     * @param value The additionalExperiments to set.
     * @return This builder for chaining.
     */
    public Builder setAdditionalExperiments(int index, java.lang.String value) {
      if (value == null) {
        throw new NullPointerException();
      }
      ensureAdditionalExperimentsIsMutable();
      additionalExperiments_.set(index, value);
      bitField0_ |= 0x00000400;
      onChanged();
      return this;
    }
    /**
     *
     *
     * <pre>
     * Additional experiment flags for the Tables training pipeline.
     * </pre>
     *
     * <code>repeated string additional_experiments = 11;</code>
     *
     * @param value The additionalExperiments to add.
     * @return This builder for chaining.
     */
    public Builder addAdditionalExperiments(java.lang.String value) {
      if (value == null) {
        throw new NullPointerException();
      }
      ensureAdditionalExperimentsIsMutable();
      additionalExperiments_.add(value);
      bitField0_ |= 0x00000400;
      onChanged();
      return this;
    }
    /**
     *
     *
     * <pre>
     * Additional experiment flags for the Tables training pipeline.
     * </pre>
     *
     * <code>repeated string additional_experiments = 11;</code>
     *
     * @param values The additionalExperiments to add.
     * @return This builder for chaining.
     */
    public Builder addAllAdditionalExperiments(java.lang.Iterable<java.lang.String> values) {
      ensureAdditionalExperimentsIsMutable();
      com.google.protobuf.AbstractMessageLite.Builder.addAll(values, additionalExperiments_);
      bitField0_ |= 0x00000400;
      onChanged();
      return this;
    }
    /**
     *
     *
     * <pre>
     * Additional experiment flags for the Tables training pipeline.
     * </pre>
     *
     * <code>repeated string additional_experiments = 11;</code>
     *
     * @return This builder for chaining.
     */
    public Builder clearAdditionalExperiments() {
      additionalExperiments_ = com.google.protobuf.LazyStringArrayList.emptyList();
      bitField0_ = (bitField0_ & ~0x00000400);
      ;
      onChanged();
      return this;
    }
    /**
     *
     *
     * <pre>
     * Additional experiment flags for the Tables training pipeline.
     * </pre>
     *
     * <code>repeated string additional_experiments = 11;</code>
     *
     * @param value The bytes of the additionalExperiments to add.
     * @return This builder for chaining.
     */
    public Builder addAdditionalExperimentsBytes(com.google.protobuf.ByteString value) {
      if (value == null) {
        throw new NullPointerException();
      }
      checkByteStringIsUtf8(value);
      ensureAdditionalExperimentsIsMutable();
      additionalExperiments_.add(value);
      bitField0_ |= 0x00000400;
      onChanged();
      return this;
    }

    @java.lang.Override
    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
      return super.setUnknownFields(unknownFields);
    }

    @java.lang.Override
    public final Builder mergeUnknownFields(
        final com.google.protobuf.UnknownFieldSet unknownFields) {
      return super.mergeUnknownFields(unknownFields);
    }

    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs)
  }

  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs)
  private static final com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition
          .AutoMlTablesInputs
      DEFAULT_INSTANCE;

  static {
    DEFAULT_INSTANCE =
        new com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs();
  }

  public static com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
      getDefaultInstance() {
    return DEFAULT_INSTANCE;
  }

  private static final com.google.protobuf.Parser<AutoMlTablesInputs> PARSER =
      new com.google.protobuf.AbstractParser<AutoMlTablesInputs>() {
        @java.lang.Override
        public AutoMlTablesInputs parsePartialFrom(
            com.google.protobuf.CodedInputStream input,
            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
            throws com.google.protobuf.InvalidProtocolBufferException {
          Builder builder = newBuilder();
          try {
            builder.mergeFrom(input, extensionRegistry);
          } catch (com.google.protobuf.InvalidProtocolBufferException e) {
            throw e.setUnfinishedMessage(builder.buildPartial());
          } catch (com.google.protobuf.UninitializedMessageException e) {
            throw e.asInvalidProtocolBufferException().setUnfinishedMessage(builder.buildPartial());
          } catch (java.io.IOException e) {
            throw new com.google.protobuf.InvalidProtocolBufferException(e)
                .setUnfinishedMessage(builder.buildPartial());
          }
          return builder.buildPartial();
        }
      };

  public static com.google.protobuf.Parser<AutoMlTablesInputs> parser() {
    return PARSER;
  }

  @java.lang.Override
  public com.google.protobuf.Parser<AutoMlTablesInputs> getParserForType() {
    return PARSER;
  }

  @java.lang.Override
  public com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs
      getDefaultInstanceForType() {
    return DEFAULT_INSTANCE;
  }
}
