python.uq.learner.builder.RegressorSpecificationDescriptor.FoldingDescriptor Class Reference

Inheritance diagram for python.uq.learner.builder.RegressorSpecificationDescriptor.FoldingDescriptor:

Public Member Functions
def	__init__ (self, dtype)
def	withLevel (self, level)
def	withSeed (self, seed)

Public Attributes
	dtype
	level
	seed

Detailed Description

Folding Descriptor helps to implement fluid interface patter on
python it encapsulates functionality concerning the usage for
N-fold cross-validation

Constructor & Destructor Documentation

__init__()

def python.uq.learner.builder.RegressorSpecificationDescriptor.FoldingDescriptor.__init__	(		self,
			dtype
	)

Constructor
@param builder: LearnerBuilder which creates this Descriptor
@param dtype: Type of folding policy that should be build

Member Function Documentation

withLevel()

def python.uq.learner.builder.RegressorSpecificationDescriptor.FoldingDescriptor.withLevel	(		self,
			level
	)

Defines the folding level
@param level: integer folding level

References sgpp::combigrid::ExponentialChebyshevPermutationIterator.level, sgpp::combigrid::ExponentialNoBoundaryPermutationIterator.level, sgpp::combigrid::TensorGrid.level, sgpp::combigrid::ExponentialLevelorderPermutationIterator.level, python.uq.estimators.MarginalIntegralStrategy.MarginalIntegralStrategy.level, python.learner.folding.FoldingPolicy.FoldingPolicy.level, sgpp::combigrid::AbstractEvaluator< V >.level, python.uq.learner.builder.GridDescriptor.GridDescriptor.level, sgpp::combigrid::QueueEntry.level, python.learner.folding.FilesFoldingPolicy.FilesFoldingPolicy.level, python.uq.learner.builder.RegressorSpecificationDescriptor.FoldingDescriptor.level, and sgpp::base::HashGridPoint.level.

withSeed()

def python.uq.learner.builder.RegressorSpecificationDescriptor.FoldingDescriptor.withSeed	(		self,
			seed
	)

Defines the seed for random folding policy
@param seed: integer seed

References python.learner.folding.RandomFoldingPolicy.RandomFoldingPolicy.seed, and python.uq.learner.builder.RegressorSpecificationDescriptor.FoldingDescriptor.seed.

Member Data Documentation

dtype

python.uq.learner.builder.RegressorSpecificationDescriptor.FoldingDescriptor.dtype

level

python.uq.learner.builder.RegressorSpecificationDescriptor.FoldingDescriptor.level

Referenced by python.uq.operations.forcePositivity.localFullGridSearch.LocalFullGrid.__eq__(), python.uq.operations.forcePositivity.localFullGridSearch.LocalFullGrid.contains(), python.uq.operations.forcePositivity.localFullGridSearch.LocalFullGrid.containsDimx(), python.uq.operations.forcePositivity.localFullGridSearch.LocalFullGrid.getLevelIndex(), python.uq.operations.forcePositivity.localFullGridSearch.LocalFullGrid.getMaxLevel(), python.uq.operations.forcePositivity.localFullGridSearch.LocalFullGrid.overlap(), python.uq.operations.forcePositivity.localFullGridSearch.LocalFullGrid.overlapDimx(), python.uq.operations.forcePositivity.localFullGridSearch.LocalFullGrid.transformToReferenceGrid(), python.uq.manager.ASGCStatistics.ASGCStatistics.updateResults(), python.uq.learner.SimulationLearner.SimulationLearner.updateResults(), and python.uq.learner.builder.RegressorSpecificationDescriptor.FoldingDescriptor.withLevel().

seed

python.uq.learner.builder.RegressorSpecificationDescriptor.FoldingDescriptor.seed

Referenced by python.uq.learner.builder.RegressorSpecificationDescriptor.FoldingDescriptor.withSeed().

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The documentation for this class was generated from the following file:

• datadriven/python/uq/learner/builder/RegressorSpecificationDescriptor.py