com.netease.news.classifier.naivebayes.StandardThetaTrainer.java Source code

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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 com.netease.news.classifier.naivebayes;

import org.apache.mahout.classifier.naivebayes.StandardNaiveBayesClassifier;
import org.apache.mahout.math.Vector;

public class StandardThetaTrainer extends AbstractThetaTrainer {

    public StandardThetaTrainer(Vector weightsPerFeature, Vector weightsPerLabel, double alphaI) {
        super(weightsPerFeature, weightsPerLabel, alphaI);
    }

    @Override
    public void train(int label, Vector perLabelWeight) {
        double labelWeight = labelWeight(label);
        for (Vector.Element e : perLabelWeight.nonZeroes()) {
            updatePerLabelThetaNormalizer(label,
                    StandardNaiveBayesClassifier.computeWeight(e.get(), labelWeight, alphaI(), numFeatures()));
        }
    }
}