/**
* 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");
}
}