Package weka.classifiers
Class RandomizableParallelMultipleClassifiersCombiner
java.lang.Object
weka.classifiers.AbstractClassifier
weka.classifiers.MultipleClassifiersCombiner
weka.classifiers.ParallelMultipleClassifiersCombiner
weka.classifiers.RandomizableParallelMultipleClassifiersCombiner
- All Implemented Interfaces:
Serializable,Cloneable,Classifier,BatchPredictor,CapabilitiesHandler,CapabilitiesIgnorer,CommandlineRunnable,OptionHandler,Randomizable,RevisionHandler
- Direct Known Subclasses:
Stacking
public abstract class RandomizableParallelMultipleClassifiersCombiner
extends ParallelMultipleClassifiersCombiner
implements Randomizable
Abstract utility class for handling settings common to
meta classifiers that build an ensemble in parallel using multiple
classifiers based on a given random number seed.
- Version:
- $Revision: 10141 $
- Author:
- Mark Hall (mhall{[at]}pentaho{[dot]}com)
- See Also:
-
Field Summary
Fields inherited from class weka.classifiers.AbstractClassifier
BATCH_SIZE_DEFAULT, NUM_DECIMAL_PLACES_DEFAULT -
Constructor Summary
Constructors -
Method Summary
Modifier and TypeMethodDescriptionString[]Gets the current settings of the classifier.intgetSeed()Gets the seed for the random number generationsReturns an enumeration describing the available options.Returns the tip text for this propertyvoidsetOptions(String[] options) Parses a given list of options.voidsetSeed(int seed) Set the seed for random number generation.Methods inherited from class weka.classifiers.ParallelMultipleClassifiersCombiner
buildClassifier, getNumExecutionSlots, numExecutionSlotsTipText, setNumExecutionSlotsMethods inherited from class weka.classifiers.MultipleClassifiersCombiner
classifiersTipText, getCapabilities, getClassifier, getClassifiers, postExecution, preExecution, setClassifiersMethods inherited from class weka.classifiers.AbstractClassifier
batchSizeTipText, classifyInstance, debugTipText, distributionForInstance, distributionsForInstances, doNotCheckCapabilitiesTipText, forName, getBatchSize, getDebug, getDoNotCheckCapabilities, getNumDecimalPlaces, getRevision, implementsMoreEfficientBatchPrediction, makeCopies, makeCopy, numDecimalPlacesTipText, run, runClassifier, setBatchSize, setDebug, setDoNotCheckCapabilities, setNumDecimalPlaces
-
Constructor Details
-
RandomizableParallelMultipleClassifiersCombiner
public RandomizableParallelMultipleClassifiersCombiner()
-
-
Method Details
-
listOptions
Returns an enumeration describing the available options.- Specified by:
listOptionsin interfaceOptionHandler- Overrides:
listOptionsin classParallelMultipleClassifiersCombiner- Returns:
- an enumeration of all the available options.
-
setOptions
Parses a given list of options. Valid options are:-B classifierstring
Classifierstring should contain the full class name of a scheme included for selection followed by options to the classifier (required, option should be used once for each classifier).-S num
Set the random number seed (default 1).- Specified by:
setOptionsin interfaceOptionHandler- Overrides:
setOptionsin classParallelMultipleClassifiersCombiner- Parameters:
options- the list of options as an array of strings- Throws:
Exception- if an option is not supported
-
getOptions
Gets the current settings of the classifier.- Specified by:
getOptionsin interfaceOptionHandler- Overrides:
getOptionsin classParallelMultipleClassifiersCombiner- Returns:
- an array of strings suitable for passing to setOptions
-
seedTipText
Returns the tip text for this property- Returns:
- tip text for this property suitable for displaying in the explorer/experimenter gui
-
setSeed
public void setSeed(int seed) Set the seed for random number generation.- Specified by:
setSeedin interfaceRandomizable- Parameters:
seed- the seed
-
getSeed
public int getSeed()Gets the seed for the random number generations- Specified by:
getSeedin interfaceRandomizable- Returns:
- the seed for the random number generation
-