/* * RapidMiner * * Copyright (C) 2001-2011 by Rapid-I and the contributors * * Complete list of developers available at our web site: * * http://rapid-i.com * * This program 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. * * This program 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 this program. If not, see http://www.gnu.org/licenses/. */ package com.rapidminer.operator.meta; import java.util.List; import com.rapidminer.example.ExampleSet; import com.rapidminer.example.Tools; import com.rapidminer.operator.OperatorChain; import com.rapidminer.operator.OperatorDescription; import com.rapidminer.operator.OperatorException; import com.rapidminer.operator.ports.InputPort; import com.rapidminer.operator.ports.OutputPort; import com.rapidminer.operator.ports.metadata.ExampleSetMetaData; import com.rapidminer.operator.ports.metadata.ExampleSetPassThroughRule; import com.rapidminer.operator.ports.metadata.PassThroughRule; import com.rapidminer.operator.ports.metadata.SetRelation; import com.rapidminer.operator.ports.metadata.SubprocessTransformRule; import com.rapidminer.parameter.ParameterType; import com.rapidminer.parameter.ParameterTypeInt; import com.rapidminer.parameter.UndefinedParameterError; /** * This operator groups the input examples into batches of the specified size and performs * the inner operators on all batches subsequently. This might be useful for very large data * sets which cannot be load into memory but must be handled in a database. In these cases, * preprocessing methods or model applications and other tasks can be performed on each batch * and the result might be again written into a database table (by using the DatabaseExampleSetWriter * in its append mode). * <br/> * Note that the output of this operator is not composed of the results of the nested subprocess. * In fact the subprocess does not need to deliver any output since it operates on a subset view * of the input example set. * * @author Ingo Mierswa */ public class BatchProcessing extends OperatorChain { public static final String PARAMETER_BATCH_SIZE = "batch_size"; private final InputPort exampleSetInput = getInputPorts().createPort("example set", new ExampleSetMetaData()); private final OutputPort exampleSetOutput = getOutputPorts().createPort("example set"); private final OutputPort exampleSetInnerSource = getSubprocess(0).getInnerSources().createPort("exampleSet"); public BatchProcessing(OperatorDescription description) { super(description, "Batch Process"); getTransformer().addRule(new ExampleSetPassThroughRule(exampleSetInput, exampleSetInnerSource, SetRelation.EQUAL) { @Override public ExampleSetMetaData modifyExampleSet(ExampleSetMetaData metaData) throws UndefinedParameterError { metaData.setNumberOfExamples(getParameterAsInt(PARAMETER_BATCH_SIZE)); return super.modifyExampleSet(metaData); } }); getTransformer().addRule(new SubprocessTransformRule(getSubprocess(0))); getTransformer().addRule(new PassThroughRule(exampleSetInput, exampleSetOutput, false)); } @Override public void doWork() throws OperatorException { ExampleSet exampleSet = exampleSetInput.getData(); int batchSize = getParameterAsInt(PARAMETER_BATCH_SIZE); int size = exampleSet.size(); int currentStart = 0; while (currentStart < size) { ExampleSet materializedSet = Tools.getLinearSubsetCopy(exampleSet, batchSize, currentStart); exampleSetInnerSource.deliver(materializedSet); getSubprocess(0).execute(); currentStart += batchSize; inApplyLoop(); } exampleSetOutput.deliver(exampleSet); } @Override public List<ParameterType> getParameterTypes() { List<ParameterType> types = super.getParameterTypes(); types.add(new ParameterTypeInt(PARAMETER_BATCH_SIZE, "This number of examples is processed batch-wise by the inner operators of this operator.", 1, Integer.MAX_VALUE, 1000, false)); return types; } }