com.joliciel.talismane.machineLearning.perceptron.PerceptronClassificationModel Maven / Gradle / Ivy
///////////////////////////////////////////////////////////////////////////////
//Copyright (C) 2014 Joliciel Informatique
//
//This file is part of Talismane.
//
//Talismane is free software: you can redistribute it and/or modify
//it under the terms of the GNU Affero General Public License as published by
//the Free Software Foundation, either version 3 of the License, or
//(at your option) any later version.
//
//Talismane is distributed in the hope that it will be useful,
//but WITHOUT ANY WARRANTY; without even the implied warranty of
//MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
//GNU Affero General Public License for more details.
//
//You should have received a copy of the GNU Affero General Public License
//along with Talismane. If not, see .
//////////////////////////////////////////////////////////////////////////////
package com.joliciel.talismane.machineLearning.perceptron;
import java.io.File;
import java.io.IOException;
import java.io.InputStream;
import java.io.ObjectInputStream;
import java.io.ObjectOutputStream;
import java.io.OutputStream;
import java.util.List;
import java.util.Map;
import java.util.Set;
import java.util.TreeSet;
import java.util.zip.ZipEntry;
import java.util.zip.ZipOutputStream;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import com.joliciel.talismane.machineLearning.AbstractMachineLearningModel;
import com.joliciel.talismane.machineLearning.ClassificationModel;
import com.joliciel.talismane.machineLearning.ClassificationObserver;
import com.joliciel.talismane.machineLearning.DecisionMaker;
import com.joliciel.talismane.machineLearning.MachineLearningAlgorithm;
import com.typesafe.config.Config;
public class PerceptronClassificationModel extends AbstractMachineLearningModel implements ClassificationModel {
@SuppressWarnings("unused")
private static final Logger LOG = LoggerFactory.getLogger(PerceptronClassificationModel.class);
PerceptronModelParameters params = null;
PerceptronDecisionMaker decisionMaker;
private transient Set outcomeNames = null;
public PerceptronClassificationModel() {
}
public PerceptronClassificationModel(PerceptronModelParameters params, Config config, Map> descriptors) {
super(config, descriptors);
this.params = params;
}
@Override
public DecisionMaker getDecisionMaker() {
if (decisionMaker == null) {
decisionMaker = new PerceptronDecisionMaker(params, this.getPerceptronScoring());
}
return decisionMaker;
}
@Override
public ClassificationObserver getDetailedAnalysisObserver(File file) throws IOException {
return new PerceptronDetailedAnalysisWriter(decisionMaker, file);
}
@Override
public MachineLearningAlgorithm getAlgorithm() {
return MachineLearningAlgorithm.Perceptron;
}
@Override
public void loadModelFromStream(InputStream inputStream) throws ClassNotFoundException, IOException {
ObjectInputStream in = new ObjectInputStream(inputStream);
params = (PerceptronModelParameters) in.readObject();
}
@Override
public void writeModelToStream(OutputStream outputStream) throws IOException {
ObjectOutputStream out = new ObjectOutputStream(outputStream);
out.writeObject(params);
}
@Override
public boolean loadDataFromStream(InputStream inputStream, ZipEntry zipEntry) {
return false;
}
@Override
public void writeDataToStream(ZipOutputStream zos) {
// nothing to do
}
@Override
public Set getOutcomeNames() {
if (this.outcomeNames == null) {
this.outcomeNames = new TreeSet(this.params.getOutcomes());
}
return this.outcomeNames;
}
@Override
protected void persistOtherEntries(ZipOutputStream zos) throws IOException {
}
public PerceptronScoring getPerceptronScoring() {
return (PerceptronScoring) this.getModelAttributes().get("scoring");
}
@Override
public void onLoadComplete() {
}
}
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