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A

ai.libs.mlplan.weka - package ai.libs.mlplan.weka

ai.libs.mlplan.weka.weka - package ai.libs.mlplan.weka.weka

B

build() - Method in class ai.libs.mlplan.weka.MLPlanWekaBuilder

buildClassifier(Instances) - Method in class ai.libs.mlplan.weka.MLPlanWekaClassifier

C

CLASSIFICATION_MULTICLASS - ai.libs.mlplan.weka.EMLPlanWekaProblemType

CLASSIFICATION_MULTICLASS_BASE - ai.libs.mlplan.weka.EMLPlanWekaProblemType

CLASSIFICATION_MULTICLASS_REDUCED - ai.libs.mlplan.weka.EMLPlanWekaProblemType

CLASSIFICATION_MULTICLASS_TINY - ai.libs.mlplan.weka.EMLPlanWekaProblemType

classifyInstance(Instance) - Method in class ai.libs.mlplan.weka.MLPlanWekaClassifier

classifyInstances(Instances) - Method in class ai.libs.mlplan.weka.MLPlanWekaClassifier

COMPNAME_EVAL - Static variable in class ai.libs.mlplan.weka.weka.WekaPipelineValidityCheckingNodeEvaluator

COMPNAME_LEARNER - Static variable in class ai.libs.mlplan.weka.weka.WekaPipelineValidityCheckingNodeEvaluator

COMPNAME_PREPROCESSOR - Static variable in class ai.libs.mlplan.weka.weka.WekaPipelineValidityCheckingNodeEvaluator

COMPNAME_SEARCH - Static variable in class ai.libs.mlplan.weka.weka.WekaPipelineValidityCheckingNodeEvaluator

convertToComponentInstance(MLPipeline) - Method in class ai.libs.mlplan.weka.weka.MLPipelineComponentInstanceFactory

Converts the given MLPipelines object to a ComponentInstance.

D

distributionForInstance(Instance) - Method in class ai.libs.mlplan.weka.MLPlanWekaClassifier

E

EMLPlanWekaProblemType - Enum in ai.libs.mlplan.weka

evaluate(ILabeledPath<TFDNode, String>) - Method in class ai.libs.mlplan.weka.weka.WekaPipelineValidityCheckingNodeEvaluator

F

fit(ILabeledDataset<? extends ILabeledInstance>) - Method in class ai.libs.mlplan.weka.MLPlanWekaClassifier

fitAndPredict(ILabeledDataset<? extends ILabeledInstance>, ILabeledDataset<? extends ILabeledInstance>) - Method in class ai.libs.mlplan.weka.MLPlanWekaClassifier

fitAndPredict(ILabeledDataset<? extends ILabeledInstance>, ILabeledInstance) - Method in class ai.libs.mlplan.weka.MLPlanWekaClassifier

fitAndPredict(ILabeledDataset<? extends ILabeledInstance>, ILabeledInstance[]) - Method in class ai.libs.mlplan.weka.MLPlanWekaClassifier

forClassification() - Static method in class ai.libs.mlplan.weka.MLPlanWekaBuilder

forClassificationReduced() - Static method in class ai.libs.mlplan.weka.MLPlanWekaBuilder

forClassificationWithTinySearchSpace() - Static method in class ai.libs.mlplan.weka.MLPlanWekaBuilder

forRegression() - Static method in class ai.libs.mlplan.weka.MLPlanWekaBuilder

G

getCapabilities() - Method in class ai.libs.mlplan.weka.MLPlanWekaClassifier

getClassifier() - Method in class ai.libs.mlplan.weka.MLPlanWekaClassifier

getComponentInstantiation(IComponentInstance) - Method in class ai.libs.mlplan.weka.weka.WekaPipelineFactory

getComponentInstantiation(IComponentInstance) - Method in class ai.libs.mlplan.weka.weka.WekaRegressorFactory

getComponents() - Method in class ai.libs.mlplan.weka.MLPlanWekaClassifier

getConfig() - Method in class ai.libs.mlplan.weka.MLPlanWekaClassifier

getInternalValidationErrorOfSelectedClassifier() - Method in class ai.libs.mlplan.weka.MLPlanWekaClassifier

getLastHASCOMethodPriorToParameterRefinementOfBareLearner() - Method in enum ai.libs.mlplan.weka.EMLPlanWekaProblemType

getLastHASCOMethodPriorToParameterRefinementOfPipeline() - Method in enum ai.libs.mlplan.weka.EMLPlanWekaProblemType

getLearnerFactory() - Method in enum ai.libs.mlplan.weka.EMLPlanWekaProblemType

getLoggerName() - Method in class ai.libs.mlplan.weka.MLPlanWekaClassifier

getLoggerName() - Method in class ai.libs.mlplan.weka.weka.WekaPipelineValidityCheckingNodeEvaluator

getMLPlanConfig() - Method in class ai.libs.mlplan.weka.MLPlanWekaClassifier

getName() - Method in enum ai.libs.mlplan.weka.EMLPlanWekaProblemType

getOptions() - Method in class ai.libs.mlplan.weka.MLPlanWekaClassifier

getPerformanceMetricForSearchPhase() - Method in enum ai.libs.mlplan.weka.EMLPlanWekaProblemType

getPerformanceMetricForSelectionPhase() - Method in enum ai.libs.mlplan.weka.EMLPlanWekaProblemType

getPreferredComponentListFromFileSystem() - Method in enum ai.libs.mlplan.weka.EMLPlanWekaProblemType

getPreferredComponentListFromResource() - Method in enum ai.libs.mlplan.weka.EMLPlanWekaProblemType

getRequestedInterface() - Method in enum ai.libs.mlplan.weka.EMLPlanWekaProblemType

getSearchSelectionDatasetSplitter() - Method in enum ai.libs.mlplan.weka.EMLPlanWekaProblemType

getSearchSpaceConfigFileFromResource() - Method in enum ai.libs.mlplan.weka.EMLPlanWekaProblemType

getSearchSpaceConfigFromFileSystem() - Method in enum ai.libs.mlplan.weka.EMLPlanWekaProblemType

getSelectedWekaClassifier() - Method in class ai.libs.mlplan.weka.MLPlanWekaClassifier

getSelf() - Method in class ai.libs.mlplan.weka.MLPlanWekaBuilder

getValidityCheckingNodeEvaluator() - Method in enum ai.libs.mlplan.weka.EMLPlanWekaProblemType

L

listOptions() - Method in class ai.libs.mlplan.weka.MLPlanWekaClassifier

M

MLPipelineComponentInstanceFactory - Class in ai.libs.mlplan.weka.weka

A factory that provides the ability to wrap given MLPipelines to a ComponentInstance

MLPipelineComponentInstanceFactory(Collection<? extends IComponent>) - Constructor for class ai.libs.mlplan.weka.weka.MLPipelineComponentInstanceFactory

Creates a new factory object using the given configuration file

MLPlan4Weka - Class in ai.libs.mlplan.weka

MLPlanWekaBuilder - Class in ai.libs.mlplan.weka

MLPlanWekaBuilder() - Constructor for class ai.libs.mlplan.weka.MLPlanWekaBuilder

MLPlanWekaBuilder(EMLPlanWekaProblemType) - Constructor for class ai.libs.mlplan.weka.MLPlanWekaBuilder

MLPlanWekaClassifier - Class in ai.libs.mlplan.weka

A WEKA classifier wrapping the functionality of ML-Plan where the constructed object is a WEKA classifier.

MLPlanWekaClassifier(MLPlanWekaBuilder) - Constructor for class ai.libs.mlplan.weka.MLPlanWekaClassifier

P

predict(ILabeledDataset<? extends ILabeledInstance>) - Method in class ai.libs.mlplan.weka.MLPlanWekaClassifier

predict(ILabeledInstance) - Method in class ai.libs.mlplan.weka.MLPlanWekaClassifier

predict(ILabeledInstance[]) - Method in class ai.libs.mlplan.weka.MLPlanWekaClassifier

R

registerListener(Object) - Method in class ai.libs.mlplan.weka.MLPlanWekaClassifier

REGRESSION - ai.libs.mlplan.weka.EMLPlanWekaProblemType

S

setConfig(Map<String, Object>) - Method in class ai.libs.mlplan.weka.MLPlanWekaClassifier

setLoggerName(String) - Method in class ai.libs.mlplan.weka.MLPlanWekaClassifier

setLoggerName(String) - Method in class ai.libs.mlplan.weka.weka.WekaPipelineValidityCheckingNodeEvaluator

setOptions(String[]) - Method in class ai.libs.mlplan.weka.MLPlanWekaClassifier

setTimeout(Timeout) - Method in class ai.libs.mlplan.weka.MLPlanWekaClassifier

V

valueOf(String) - Static method in enum ai.libs.mlplan.weka.EMLPlanWekaProblemType

Returns the enum constant of this type with the specified name.

values() - Static method in enum ai.libs.mlplan.weka.EMLPlanWekaProblemType

Returns an array containing the constants of this enum type, in the order they are declared.

W

WekaMLPlanWekaClassifier - Class in ai.libs.mlplan.weka.weka

WekaMLPlanWekaClassifier() - Constructor for class ai.libs.mlplan.weka.weka.WekaMLPlanWekaClassifier

WekaMLPlanWekaClassifier(MLPlanWekaBuilder) - Constructor for class ai.libs.mlplan.weka.weka.WekaMLPlanWekaClassifier

WekaPipelineFactory - Class in ai.libs.mlplan.weka.weka

WekaPipelineFactory() - Constructor for class ai.libs.mlplan.weka.weka.WekaPipelineFactory

WekaPipelineValidityCheckingNodeEvaluator - Class in ai.libs.mlplan.weka.weka

WekaPipelineValidityCheckingNodeEvaluator() - Constructor for class ai.libs.mlplan.weka.weka.WekaPipelineValidityCheckingNodeEvaluator

WekaPipelineValidityCheckingNodeEvaluator(Collection<Component>, ILabeledDataset<?>) - Constructor for class ai.libs.mlplan.weka.weka.WekaPipelineValidityCheckingNodeEvaluator

WekaRegressorFactory - Class in ai.libs.mlplan.weka.weka

WekaRegressorFactory() - Constructor for class ai.libs.mlplan.weka.weka.WekaRegressorFactory

withDataset(ILabeledDataset<?>) - Method in class ai.libs.mlplan.weka.MLPlanWekaBuilder

withLearningCurveExtrapolationEvaluation(int[], ISamplingAlgorithmFactory<ILabeledDataset<?>, ? extends ASamplingAlgorithm<ILabeledDataset<?>>>, double, LearningCurveExtrapolationMethod) - Method in class ai.libs.mlplan.weka.MLPlanWekaBuilder

Allows to use learning curve extrapolation for predicting the quality of candidate solutions.

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All Classes All Packages