com.joliciel.talismane.machineLearning.perceptron.PerceptronClassificationModel.java Source code

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///////////////////////////////////////////////////////////////////////////////
//Copyright (C) 2013 Assaf Urieli
//
//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 <http://www.gnu.org/licenses/>.
//////////////////////////////////////////////////////////////////////////////
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.zip.ZipEntry;
import java.util.zip.ZipOutputStream;

import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;

import com.joliciel.talismane.machineLearning.AbstractClassificationModel;
import com.joliciel.talismane.machineLearning.ClassificationObserver;
import com.joliciel.talismane.machineLearning.DecisionFactory;
import com.joliciel.talismane.machineLearning.DecisionMaker;
import com.joliciel.talismane.machineLearning.MachineLearningAlgorithm;
import com.joliciel.talismane.machineLearning.Outcome;
import com.joliciel.talismane.utils.LogUtils;

class PerceptronClassificationModel<T extends Outcome> extends AbstractClassificationModel<T> {
    private static final Log LOG = LogFactory.getLog(PerceptronClassificationModel.class);
    PerceptronModelParameters params = null;
    PerceptronDecisionMaker<T> decisionMaker;

    PerceptronClassificationModel() {
    }

    public PerceptronClassificationModel(PerceptronModelParameters params, Map<String, List<String>> descriptors,
            DecisionFactory<T> decisionFactory) {
        this.params = params;
        this.setDecisionFactory(decisionFactory);
        this.setDescriptors(descriptors);
    }

    @Override
    public DecisionMaker<T> getDecisionMaker() {
        if (decisionMaker == null) {
            decisionMaker = new PerceptronDecisionMaker<T>(params, this.getDecisionFactory());
        }
        return decisionMaker;
    }

    @Override
    public ClassificationObserver<T> getDetailedAnalysisObserver(File file) {
        return new PerceptronDetailedAnalysisWriter<T>(decisionMaker, file);
    }

    @Override
    public MachineLearningAlgorithm getAlgorithm() {
        return MachineLearningAlgorithm.Perceptron;
    }

    @Override
    public void loadModelFromStream(InputStream inputStream) {
        try {
            ObjectInputStream in = new ObjectInputStream(inputStream);
            params = (PerceptronModelParameters) in.readObject();
        } catch (IOException e) {
            LogUtils.logError(LOG, e);
            throw new RuntimeException(e);
        } catch (ClassNotFoundException e) {
            LogUtils.logError(LOG, e);
            throw new RuntimeException(e);
        }

    }

    @Override
    public void writeModelToStream(OutputStream outputStream) {
        try {
            ObjectOutputStream out = new ObjectOutputStream(outputStream);

            out.writeObject(params);
        } catch (IOException e) {
            LogUtils.logError(LOG, e);
            throw new RuntimeException(e);
        }
    }

    @Override
    public boolean loadDataFromStream(InputStream inputStream, ZipEntry zipEntry) {
        return false;
    }

    @Override
    public void writeDataToStream(ZipOutputStream zos) {
        // nothing to do
    }

}