Uses of Class
adams.flow.transformer.wekaevaluationpostprocessor.AbstractWekaEvaluationPostProcessor

Packages that use AbstractWekaEvaluationPostProcessor

Package	Description
adams.flow.transformer
adams.flow.transformer.wekaevaluationpostprocessor
adams.opt.genetic

Uses of AbstractWekaEvaluationPostProcessor in adams.flow.transformer

Fields in adams.flow.transformer declared as AbstractWekaEvaluationPostProcessor

Modifier and Type	Field	Description
protected AbstractWekaEvaluationPostProcessor	WekaEvaluationPostProcessor.m_PostProcessor	the post-processor to use.

Methods in adams.flow.transformer that return AbstractWekaEvaluationPostProcessor

Modifier and Type	Method	Description
AbstractWekaEvaluationPostProcessor	WekaEvaluationPostProcessor.getPostProcessor()	Returns the post-processor in use.

Methods in adams.flow.transformer with parameters of type AbstractWekaEvaluationPostProcessor

Modifier and Type	Method	Description
void	WekaEvaluationPostProcessor.setPostProcessor(AbstractWekaEvaluationPostProcessor value)	Sets the post-processor to use.

Uses of AbstractWekaEvaluationPostProcessor in adams.flow.transformer.wekaevaluationpostprocessor

Subclasses of AbstractWekaEvaluationPostProcessor in adams.flow.transformer.wekaevaluationpostprocessor

Modifier and Type	Class	Description
class	AbstractNumericClassPostProcessor	Ancestor for numeric class post-processors.
class	MultiPostProcessor	Applies the specified post-processors sequentially to the input data and combines their output.
class	PassThrough	Does nothing, just passes through the input data.
class	RemoveWorst	Removes the worst predictions, which are considered outliers that detract from the actual model performance.
class	RemoveWorstStdDev	Removes the worst predictions, which are considered outliers that detract from the actual model performance.
class	SimpleSubRange	Generates an Evaluation object based on the actual class values that fall within the specified interval ranges.
class	SubRange	Generates an Evaluation object based on the actual class values that fall within the specified interval ranges.

Fields in adams.flow.transformer.wekaevaluationpostprocessor declared as AbstractWekaEvaluationPostProcessor

Modifier and Type	Field	Description
protected AbstractWekaEvaluationPostProcessor[]	MultiPostProcessor.m_PostProcessors	the post-processors to combine.

Methods in adams.flow.transformer.wekaevaluationpostprocessor that return AbstractWekaEvaluationPostProcessor

Modifier and Type	Method	Description
AbstractWekaEvaluationPostProcessor[]	MultiPostProcessor.getPostProcessors()	Returns the post-processors in use.

Methods in adams.flow.transformer.wekaevaluationpostprocessor with parameters of type AbstractWekaEvaluationPostProcessor

Modifier and Type	Method	Description
void	MultiPostProcessor.setPostProcessors(AbstractWekaEvaluationPostProcessor[] value)	Sets the post-processors to use.

Uses of AbstractWekaEvaluationPostProcessor in adams.opt.genetic

Fields in adams.opt.genetic declared as AbstractWekaEvaluationPostProcessor

Modifier and Type	Field	Description
protected AbstractWekaEvaluationPostProcessor	AbstractClassifierBasedGeneticAlgorithm.m_EvaluationPostProcessor	the postprocessor for the evaluation.

Methods in adams.opt.genetic that return AbstractWekaEvaluationPostProcessor

Modifier and Type	Method	Description
AbstractWekaEvaluationPostProcessor	AbstractClassifierBasedGeneticAlgorithm.getEvaluationPostProcessor()	Returns the post-processing scheme for the evaluation.

Methods in adams.opt.genetic with parameters of type AbstractWekaEvaluationPostProcessor

Modifier and Type	Method	Description
void	AbstractClassifierBasedGeneticAlgorithm.setEvaluationPostProcessor(AbstractWekaEvaluationPostProcessor value)	Sets the post-processing scheme for the evaluation.