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SG++-Doxygen-Documentation
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Provides functionality for accomplishment of learning with cross-validation by generating a set of training data/validation data pairs randomly This class corresponds to the old doFold() method. More...
Public Member Functions | |
__init__ (self, dataContainer, level=1, seed=None) | |
Constructor. | |
Public Attributes | |
level | |
random | |
Random number generator. | |
seed | |
seq | |
window | |
Provides functionality for accomplishment of learning with cross-validation by generating a set of training data/validation data pairs randomly This class corresponds to the old doFold() method.
python.learner.folding.RandomFoldingPolicy.RandomFoldingPolicy.__init__ | ( | self, | |
dataContainer, | |||
level = 1 , |
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seed = None |
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) |
Constructor.
dataContainer | DataContainer with data set |
level | Integer folding level, default value: 1 |
seed | Integer seed, default None so it is set to the timestamp |
python.learner.folding.RandomFoldingPolicy.RandomFoldingPolicy.level |
Referenced by python.uq.operations.forcePositivity.localFullGridSearch.LocalFullGrid.__eq__(), python.learner.folding.FoldingPolicy.FoldingPolicy.__next__(), python.uq.operations.forcePositivity.localFullGridSearch.LocalFullGrid.contains(), python.uq.operations.forcePositivity.localFullGridSearch.LocalFullGrid.containsDimx(), python.uq.learner.builder.GridDescriptor.GridDescriptor.createGrid(), python.uq.estimators.MarginalIntegralStrategy.MarginalIntegralStrategy.estimate(), python.uq.learner.builder.GridDescriptor.GridDescriptor.fromGrid(), 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.builder.GridDescriptor.GridDescriptor.withLevel(), and python.uq.learner.builder.RegressorSpecificationDescriptor.FoldingDescriptor.withLevel().
python.learner.folding.RandomFoldingPolicy.RandomFoldingPolicy.random |
Random number generator.
python.learner.folding.RandomFoldingPolicy.RandomFoldingPolicy.seed |
python.learner.folding.RandomFoldingPolicy.RandomFoldingPolicy.seq |
python.learner.folding.RandomFoldingPolicy.RandomFoldingPolicy.window |