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The Waikato Environment for Knowledge Analysis (WEKA), a machine
learning workbench. This version represents the developer version, the
"bleeding edge" of development, you could say. New functionality gets added
to this version.
/*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU 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 General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see .
*/
/*
* InstanceStreamToBatchMaker.java
* Copyright (C) 2015 University of Waikato, Hamilton, New Zealand
*
*/
package weka.knowledgeflow.steps;
import weka.core.Instance;
import weka.core.Instances;
import weka.core.WekaException;
import weka.gui.knowledgeflow.KFGUIConsts;
import weka.knowledgeflow.Data;
import weka.knowledgeflow.StepManager;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
/**
* Step that converts an incoming instance stream to a batch dataset
*
* @author Mark Hall (mhall{[at]}pentaho{[dot]}com)
* @version $Revision: $
*/
@KFStep(name = "InstanceStreamToBatchMaker", category = "Flow",
toolTipText = "Converts an incoming instance stream into a batch dataset",
iconPath = KFGUIConsts.BASE_ICON_PATH + "InstanceStreamToBatchMaker.gif")
public class InstanceStreamToBatchMaker extends BaseStep {
/** For serialization */
private static final long serialVersionUID = 5461324282251111320L;
/** True if we've been reset */
protected boolean m_isReset;
/** The structure of the incoming instances */
protected Instances m_structure;
/** True if the incoming data contains string attributes */
protected boolean m_hasStringAtts;
/**
* Initialize the step.
*
* @throws WekaException if a problem occurs during initialization
*/
@Override
public void stepInit() throws WekaException {
m_isReset = true;
}
/**
* Get a list of incoming connection types that this step can accept. Ideally
* (and if appropriate), this should take into account the state of the step
* and any existing incoming connections. E.g. a step might be able to accept
* one (and only one) incoming batch data connection.
*
* @return a list of incoming connections that this step can accept given its
* current state
*/
@Override
public List getIncomingConnectionTypes() {
if (getStepManager().numIncomingConnections() == 0) {
return Arrays.asList(StepManager.CON_INSTANCE);
}
return null;
}
/**
* Get a list of outgoing connection types that this step can produce. Ideally
* (and if appropriate), this should take into account the state of the step
* and the incoming connections. E.g. depending on what incoming connection is
* present, a step might be able to produce a trainingSet output, a testSet
* output or neither, but not both.
*
* @return a list of outgoing connections that this step can produce
*/
@Override
public List getOutgoingConnectionTypes() {
if (getStepManager().numIncomingConnections() > 0) {
return Arrays.asList(StepManager.CON_DATASET,
StepManager.CON_TRAININGSET, StepManager.CON_TESTSET);
}
return null;
}
/**
* Process incoming data
*
* @param data the payload to process
* @throws WekaException
*/
@Override
public void processIncoming(Data data) throws WekaException {
if (m_isReset) {
m_isReset = false;
if (data.getPrimaryPayload() == null) {
throw new WekaException("We didn't receive any instances!");
}
getStepManager().logDetailed("Collecting instances...");
Instance temp = data.getPrimaryPayload();
m_structure = new Instances(temp.dataset(), 0).stringFreeStructure();
m_hasStringAtts = temp.dataset().checkForStringAttributes();
}
if (isStopRequested()) {
getStepManager().interrupted();
return;
}
if (!getStepManager().isStreamFinished(data)) {
getStepManager().throughputUpdateStart();
Instance inst = data.getPrimaryPayload();
if (m_hasStringAtts) {
for (int i = 0; i < m_structure.numAttributes(); i++) {
if (m_structure.attribute(i).isString() && !inst.isMissing(i)) {
int index =
m_structure.attribute(i).addStringValue(inst.stringValue(i));
inst.setValue(i, index);
}
}
}
m_structure.add(inst);
getStepManager().throughputUpdateEnd();
} else {
// output batch
m_structure.compactify();
getStepManager().logBasic(
"Emitting a batch of " + m_structure.numInstances() + " instances.");
List outCons =
new ArrayList(getStepManager().getOutgoingConnections()
.keySet());
Data out = new Data(outCons.get(0), m_structure);
out.setPayloadElement(StepManager.CON_AUX_DATA_SET_NUM, 1);
out.setPayloadElement(StepManager.CON_AUX_DATA_MAX_SET_NUM, 1);
if (!isStopRequested()) {
getStepManager().outputData(out);
getStepManager().finished();
} else {
getStepManager().interrupted();
}
}
}
/**
* If possible, get the output structure for the named connection type as a
* header-only set of instances. Can return null if the specified connection
* type is not representable as Instances or cannot be determined at present.
*
* @param connectionName the name of the connection type to get the output
* structure for
* @return the output structure as a header-only Instances object
* @throws WekaException if a problem occurs
*/
@Override
public Instances outputStructureForConnectionType(String connectionName)
throws WekaException {
if (getStepManager().numIncomingConnections() > 0) {
// we don't alter the structure of the incoming data
return getStepManager().getIncomingStructureForConnectionType(
StepManager.CON_INSTANCE);
}
return null;
}
}
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