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/**
 * Licensed to the Apache Software Foundation (ASF) under one or more
 * contributor license agreements.  See the NOTICE file distributed with
 * this work for additional information regarding copyright ownership.
 * The ASF licenses this file to You 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.apache.mahout.classifier.naivebayes;


/** Implementation of the Naive Bayes Classifier Algorithm */
public class StandardNaiveBayesClassifier extends AbstractNaiveBayesClassifier { 
 
  public StandardNaiveBayesClassifier(NaiveBayesModel model) {
    super(model);
  }

  @Override
  public double getScoreForLabelFeature(int label, int feature) {
    NaiveBayesModel model = getModel();
    // Standard Naive Bayes does not use weight normalization
    return computeWeight(model.weight(label, feature), model.labelWeight(label), model.alphaI(), model.numFeatures());
  }

  public static double computeWeight(double featureLabelWeight, double labelWeight, double alphaI, double numFeatures) {
    double numerator = featureLabelWeight + alphaI;
    double denominator = labelWeight + alphaI * numFeatures;
    return Math.log(numerator / denominator);
  }
}