001/* 002 * Copyright (c) 2015-2020, Oracle and/or its affiliates. All rights reserved. 003 * 004 * Licensed under the Apache License, Version 2.0 (the "License"); 005 * you may not use this file except in compliance with the License. 006 * You may obtain a copy of the License at 007 * 008 * http://www.apache.org/licenses/LICENSE-2.0 009 * 010 * Unless required by applicable law or agreed to in writing, software 011 * distributed under the License is distributed on an "AS IS" BASIS, 012 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express implied. 013 * See the License for the specific language governing permissions and 014 * limitations under the License. 015 */ 016 017package org.tribuo.classification.mnb; 018 019import com.oracle.labs.mlrg.olcut.config.ConfigurationManager; 020import com.oracle.labs.mlrg.olcut.config.Options; 021import com.oracle.labs.mlrg.olcut.config.UsageException; 022import org.tribuo.Trainer; 023import org.tribuo.classification.Label; 024import org.tribuo.classification.TrainTestHelper; 025import org.tribuo.classification.ensemble.ClassificationEnsembleOptions; 026import org.tribuo.data.DataOptions; 027 028import java.io.IOException; 029import java.util.logging.Logger; 030 031/** 032 * Build and run a multinomial naive bayes classifier for a standard dataset. 033 */ 034public class TrainTest { 035 036 private static final Logger logger = Logger.getLogger(TrainTest.class.getName()); 037 038 public static class TrainTestOptions implements Options { 039 public DataOptions general; 040 public MultinomialNaiveBayesOptions mnbOptions; 041 public ClassificationEnsembleOptions ensembleOptions; 042 043 @Override 044 public String getOptionsDescription() { 045 return "Trains and tests a Multinomial Naive Bayes model on the specified datasets."; 046 } 047 048 } 049 050 public static void main(String[] args) throws IOException { 051 TrainTestOptions o = new TrainTestOptions(); 052 try (ConfigurationManager cm = new ConfigurationManager(args,o)){ 053 Trainer<Label> trainer = o.mnbOptions.getTrainer(); 054 trainer = o.ensembleOptions.wrapTrainer(trainer); 055 TrainTestHelper.run(cm, o.general, trainer); 056 } catch (UsageException e) { 057 logger.info(e.getMessage()); 058 } 059 } 060 061}