/*
 * avenir: Predictive analytic based on Hadoop Map Reduce
 * Author: Pranab Ghosh
 * 
 * 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
 *
 * http://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.
 */

package org.avenir.model;

import org.chombo.util.FeatureSchema;

/**
 * Predictor models that make probabilistic prediction
 * @author pranab
 *
 */
public abstract class ProbabilisticPredictiveModel extends PredictiveModel {
	
	/**
	 * @param schema
	 */
	public ProbabilisticPredictiveModel(FeatureSchema schema) {
		super(schema);
	}
	
	/**
	 * @param items
	 * @return
	 */
	@Override
	public String predict(String[] items) {
		this.items = items;
		predClassProb = predictClassProb(items);
		
		double probThreshold = 0.5;
		if (costBasedPredictionEnabled) {
			probThreshold = falsePosCost / (falsePosCost + falseNegCost);
			double posClassProb = predClassProb.getLeft().equals(posClass) ? predClassProb.getRight() :
				1.0 - predClassProb.getRight();
			predClass = posClassProb > probThreshold ? posClass : negClass;
		} else {
			predClass = predClassProb.getLeft();
		}
		
		if (errorCountingEnabled) {
			countError();
		}
		return predClass;
	}

}
