Package org.encog.ensemble.bagging

Source Code of org.encog.ensemble.bagging.Bagging

/*
* Encog(tm) Core v3.3 - Java Version
* http://www.heatonresearch.com/encog/
* https://github.com/encog/encog-java-core
* Copyright 2008-2014 Heaton Research, Inc.
*
* Licensed 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.
*  
* For more information on Heaton Research copyrights, licenses
* and trademarks visit:
* http://www.heatonresearch.com/copyright
*/
package org.encog.ensemble.bagging;

import java.util.ArrayList;

import org.encog.ensemble.Ensemble;
import org.encog.ensemble.EnsembleAggregator;
import org.encog.ensemble.EnsembleML;
import org.encog.ensemble.EnsembleMLMethodFactory;
import org.encog.ensemble.EnsembleTrainFactory;
import org.encog.ensemble.EnsembleTypes;
import org.encog.ensemble.EnsembleTypes.ProblemType;
import org.encog.ensemble.data.factories.ResamplingDataSetFactory;

public class Bagging extends Ensemble {

  private int splits;

  public Bagging(int splits, int dataSetSize, EnsembleMLMethodFactory mlFactory, EnsembleTrainFactory trainFactory, EnsembleAggregator aggregator)
  {
    this.dataSetFactory = new ResamplingDataSetFactory(dataSetSize);
    this.splits = splits;
    this.mlFactory = mlFactory;
    this.trainFactory = trainFactory;
    this.members = new ArrayList<EnsembleML>();
    this.aggregator = aggregator;
    initMembers();
  }

  @Override
  public void initMembers()
  {
    this.initMembersBySplits(this.splits);
  }

  @Override
  public ProblemType getProblemType() {
    return EnsembleTypes.ProblemType.CLASSIFICATION;
  }

  @Override
  public EnsembleML getMember(int memberNumber) {
    return members.get(memberNumber);
  }

  public void trainStep() {
    for (EnsembleML current : members)
    {
      current.trainStep();
    }
  }


}
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