Package weka.knowledgeflow.steps
Class TrainTestSplitMaker
- java.lang.Object
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- weka.knowledgeflow.steps.BaseStep
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- weka.knowledgeflow.steps.TrainTestSplitMaker
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- All Implemented Interfaces:
java.io.Serializable,BaseStepExtender,Step
@KFStep(name="TrainTestSplitMaker", category="Evaluation", toolTipText="A step that randomly splits incoming data into a training and test set", iconPath="weka/gui/knowledgeflow/icons/TrainTestSplitMaker.gif") public class TrainTestSplitMaker extends BaseStep
A step that creates a random train/test split from an incoming data set.- Version:
- $Revision: $
- Author:
- Mark Hall (mhall{[at]}pentaho{[dot]}com)
- See Also:
- Serialized Form
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Constructor Summary
Constructors Constructor Description TrainTestSplitMaker()
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description java.util.List<java.lang.String>getIncomingConnectionTypes()Get a list of incoming connection types that this step can accept.java.util.List<java.lang.String>getOutgoingConnectionTypes()Get a list of outgoing connection types that this step can produce.booleangetPreserveOrder()Get whether to preserve the order of the instances or notjava.lang.StringgetSeed()Get the random seed to usejava.lang.StringgetTrainPercent()Get the training percentageInstancesoutputStructureForConnectionType(java.lang.String connectionName)If possible, get the output structure for the named connection type as a header-only set of instances.voidprocessIncoming(Data data)Process an incoming data payload (if the step accepts incoming connections)voidsetPreserveOrder(boolean preserve)Set whether to preserve the order of the instances or notvoidsetSeed(java.lang.String seed)Set the random seed to usevoidsetTrainPercent(java.lang.String percent)Set the training percentagevoidstepInit()Initialize the step-
Methods inherited from class weka.knowledgeflow.steps.BaseStep
environmentSubstitute, getCustomEditorForStep, getDefaultSettings, getInteractiveViewers, getInteractiveViewersImpls, getName, getStepManager, globalInfo, isResourceIntensive, isStopRequested, outputStructureForConnectionType, setName, setStepIsResourceIntensive, setStepManager, setStepMustRunSingleThreaded, start, stepMustRunSingleThreaded, stop
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Method Detail
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setTrainPercent
@OptionMetadata(displayName="Training percentage", description="The percentage of data to go into the training set", displayOrder=1) public void setTrainPercent(java.lang.String percent)
Set the training percentage- Parameters:
percent- the training percentage
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getTrainPercent
public java.lang.String getTrainPercent()
Get the training percentage- Returns:
- the training percentage
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setSeed
@OptionMetadata(displayName="Random seed", description="The random seed to use when shuffling the data", displayOrder=2) public void setSeed(java.lang.String seed)
Set the random seed to use- Parameters:
seed- the random seed to use
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getSeed
public java.lang.String getSeed()
Get the random seed to use- Returns:
- the random seed to use
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setPreserveOrder
@OptionMetadata(displayName="Preserve instance order", description="Preserve the order of the instances rather than randomly shuffling", displayOrder=3) public void setPreserveOrder(boolean preserve)
Set whether to preserve the order of the instances or not- Parameters:
preserve- true to preserve the order rather than randomly shuffling first
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getPreserveOrder
public boolean getPreserveOrder()
Get whether to preserve the order of the instances or not- Returns:
- true to preserve the order rather than randomly shuffling first
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stepInit
public void stepInit() throws WekaExceptionInitialize the step- Throws:
WekaException- if a problem occurs
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processIncoming
public void processIncoming(Data data) throws WekaException
Process an incoming data payload (if the step accepts incoming connections)- Specified by:
processIncomingin interfaceBaseStepExtender- Specified by:
processIncomingin interfaceStep- Overrides:
processIncomingin classBaseStep- Parameters:
data- the data to process- Throws:
WekaException- if a problem occurs
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getIncomingConnectionTypes
public java.util.List<java.lang.String> getIncomingConnectionTypes()
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.- Returns:
- a list of incoming connections that this step can accept given its current state
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getOutgoingConnectionTypes
public java.util.List<java.lang.String> getOutgoingConnectionTypes()
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.- Returns:
- a list of outgoing connections that this step can produce
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outputStructureForConnectionType
public Instances outputStructureForConnectionType(java.lang.String connectionName) throws WekaException
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.- Specified by:
outputStructureForConnectionTypein interfaceStep- Overrides:
outputStructureForConnectionTypein classBaseStep- Parameters:
connectionName- the name of the connection type to get the output structure for- Returns:
- the output structure as a header-only Instances object
- Throws:
WekaException- if a problem occurs
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