Package weka.classifiers
Class RandomizableParallelIteratedSingleClassifierEnhancer
java.lang.Object
weka.classifiers.AbstractClassifier
weka.classifiers.SingleClassifierEnhancer
weka.classifiers.IteratedSingleClassifierEnhancer
weka.classifiers.ParallelIteratedSingleClassifierEnhancer
weka.classifiers.RandomizableParallelIteratedSingleClassifierEnhancer
- All Implemented Interfaces:
Serializable
,Cloneable
,Classifier
,BatchPredictor
,CapabilitiesHandler
,CapabilitiesIgnorer
,CommandlineRunnable
,OptionHandler
,Randomizable
,RevisionHandler
- Direct Known Subclasses:
Bagging
,RandomCommittee
,RandomSubSpace
public abstract class RandomizableParallelIteratedSingleClassifierEnhancer
extends ParallelIteratedSingleClassifierEnhancer
implements Randomizable
Abstract utility class for handling settings common to randomizable
meta classifiers that build an ensemble in parallel from a single base
learner.
- 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
-
Method Summary
Modifier and TypeMethodDescriptionString[]
Gets the current settings of the classifier.int
getSeed()
Gets the seed for the random number generationsReturns an enumeration describing the available options.Returns the tip text for this propertyvoid
setOptions
(String[] options) Parses a given list of options.void
setSeed
(int seed) Set the seed for random number generation.Methods inherited from class weka.classifiers.ParallelIteratedSingleClassifierEnhancer
buildClassifier, getNumExecutionSlots, numExecutionSlotsTipText, setNumExecutionSlots
Methods inherited from class weka.classifiers.IteratedSingleClassifierEnhancer
getNumIterations, numIterationsTipText, setNumIterations
Methods inherited from class weka.classifiers.SingleClassifierEnhancer
classifierTipText, getCapabilities, getClassifier, postExecution, preExecution, setClassifier
Methods 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
-
RandomizableParallelIteratedSingleClassifierEnhancer
public RandomizableParallelIteratedSingleClassifierEnhancer()
-
-
Method Details
-
listOptions
Returns an enumeration describing the available options.- Specified by:
listOptions
in interfaceOptionHandler
- Overrides:
listOptions
in classParallelIteratedSingleClassifierEnhancer
- Returns:
- an enumeration of all the available options.
-
setOptions
Parses a given list of options. Valid options are:-W classname
Specify the full class name of the base learner.-I num
Set the number of iterations (default 10).-S num
Set the random number seed (default 1).Options after -- are passed to the designated classifier.
- Specified by:
setOptions
in interfaceOptionHandler
- Overrides:
setOptions
in classParallelIteratedSingleClassifierEnhancer
- 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:
getOptions
in interfaceOptionHandler
- Overrides:
getOptions
in classParallelIteratedSingleClassifierEnhancer
- 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:
setSeed
in interfaceRandomizable
- Parameters:
seed
- the seed
-
getSeed
public int getSeed()Gets the seed for the random number generations- Specified by:
getSeed
in interfaceRandomizable
- Returns:
- the seed for the random number generation
-