/** * 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.bayes; import org.apache.mahout.cf.taste.common.TopK; import org.apache.mahout.classifier.ClassifierResult; import java.util.Collection; abstract class AbstractBayesAlgorithm implements Algorithm { @Override public ClassifierResult[] classifyDocument(String[] document, Datastore datastore, String defaultCategory, int numResults) throws InvalidDatastoreException { Collection<String> categories = datastore.getKeys("labelWeight"); TopK<ClassifierResult> topResults = new TopK<ClassifierResult>(numResults, ClassifierResult.COMPARE_BY_SCORE_AND_LABEL); for (String category : categories) { double prob = documentWeight(datastore, category, document); if (prob > 0.0) { topResults.offer(new ClassifierResult(category, prob)); } } if (topResults.isEmpty()) { return new ClassifierResult[] { new ClassifierResult(defaultCategory, 0.0) }; } else { return topResults.retrieve().toArray(new ClassifierResult[topResults.size()]); } } @Override public void initialize(Datastore datastore) throws InvalidDatastoreException { datastore.getKeys("labelWeight"); } @Override public Collection<String> getLabels(Datastore datastore) throws InvalidDatastoreException { return datastore.getKeys("labelWeight"); } }