Package com.rapidminer.operator.validation

Operators for estimation of the performance which can be achieved by learning schemes (and other predictive operators).

See:
Description

Class Summary

AbstractBootstrappingValidation	This validation operator performs several bootstrapped samplings (sampling with replacement) on the input set and trains a model on these samples.
BatchSlidingWindowValidation	The BatchSlidingWindowValidation is similar to the usual SlidingWindowValidation.
BatchXValidation	BatchXValidation encapsulates a cross-validation process.
BootstrappingValidation	This validation operator performs several bootstrapped samplings (sampling with replacement) on the input set and trains a model on these samples.
CFSFeatureSetEvaluator	CFS attribute subset evaluator.
ConsistencyFeatureSetEvaluator	Consistency attribute subset evaluator.
FixedSplitValidationChain	A FixedSplitValidationChain splits up the example set at a fixed point into a training and test set and evaluates the model (linear sampling).
IteratingPerformanceAverage	This operator chain performs the inner operators the given number of times.
RandomSplitValidationChain	A RandomSplitValidationChain splits up the example set into a training and test set and evaluates the model.
RandomSplitWrapperValidationChain	This operator evaluates the performance of feature weighting algorithms including feature selection.
SlidingWindowValidation	This is a special validation chain which can only be used for series predictions where the time points are encoded as examples.
Tools	Tools class for validation operators.
ValidationChain	Abstract superclass of operator chains that split an ExampleSet into a training and test set and return a performance vector.
WeightedBootstrappingValidation	This validation operator performs several bootstrapped samplings (sampling with replacement) on the input set and trains a model on these samples.
WrapperValidationChain	This operator evaluates the performance of feature weighting algorithms including feature selection.
WrapperXValidation	This operator evaluates the performance of feature weighting and selection algorithms.
XValidation	XValidation encapsulates a cross-validation process.

Package com.rapidminer.operator.validation Description

Operators for estimation of the performance which can be achieved by learning schemes (and other predictive operators). Provides several forms of cross ans split validation for both learning schemes and methods (validate a wrapper approach).