python.learner.LearnerBuilder.LearnerBuilder.StopPolicyDescriptor Class Reference

TrainingStopPolicy Descriptor helps to implement fluid interface patter on python it encapsulates functionality concerning creation of the training stop policy. More...

Inheritance diagram for python.learner.LearnerBuilder.LearnerBuilder.StopPolicyDescriptor:

Public Member Functions
	__getattr__ (self, attr)
	Overrides built-in method if method called is not a object method of this Descriptor, most probably it's a method of LearnerBuilder so it tries to call the method from our builder.
	__init__ (self, builder)
	Constructor.
	withAccuracyLimit (self, limit)
	Defines the accuracy for test data, which have to be arrived.
	withAdaptiveIterationLimit (self, limit)
	Defines the maximal number of refinement steps limit.
	withEpochsLimit (self, limit)
	Defines the maximal number of epochs MSE of test data can constantly increase.
	withGridSizeLimit (self, limit)
	Defines the maximal number of points on grid.
	withMSELimit (self, limit)
	Defines the MSE for test data, which have to be arrived.

Detailed Description

TrainingStopPolicy Descriptor helps to implement fluid interface patter on python it encapsulates functionality concerning creation of the training stop policy.

Constructor & Destructor Documentation

__init__()

python.learner.LearnerBuilder.LearnerBuilder.StopPolicyDescriptor.__init__	(		self,
			builder
	)

Constructor.

Parameters

builder

LearnerBuilder which creates this Descriptor

References python.learner.LearnerBuilder.LearnerBuilder.GridDescriptor.__builder, python.learner.LearnerBuilder.LearnerBuilder.StopPolicyDescriptor.__builder, python.learner.LearnerBuilder.LearnerBuilder.SpecificationDescriptor.__builder, python.learner.LearnerBuilder.LearnerBuilder.CGSolverDescriptor.__builder, python.learner.LearnerBuilder.LearnerBuilder.FoldingDescriptor.__builder, python.learner.LearnerBuilder.LearnerBuilder.StopPolicyDescriptor.__policy, and python.learner.LearnerBuilder.LearnerBuilder.FoldingDescriptor.__policy.

Member Function Documentation

__getattr__()

python.learner.LearnerBuilder.LearnerBuilder.StopPolicyDescriptor.__getattr__	(		self,
			attr
	)

Overrides built-in method if method called is not a object method of this Descriptor, most probably it's a method of LearnerBuilder so it tries to call the method from our builder.

Parameters

attr	String for method name

Returns

: Method calling in LearnerBuilder

References python.learner.LearnerBuilder.LearnerBuilder.GridDescriptor.__builder, python.learner.LearnerBuilder.LearnerBuilder.StopPolicyDescriptor.__builder, python.learner.LearnerBuilder.LearnerBuilder.SpecificationDescriptor.__builder, python.learner.LearnerBuilder.LearnerBuilder.CGSolverDescriptor.__builder, python.learner.LearnerBuilder.LearnerBuilder.FoldingDescriptor.__builder, python.learner.LearnerBuilder.LearnerBuilder.StopPolicyDescriptor.__policy, python.learner.LearnerBuilder.LearnerBuilder.FoldingDescriptor.__policy, and python.learner.LearnerBuilder.LearnerBuilder.getLearner().

withAccuracyLimit()

python.learner.LearnerBuilder.LearnerBuilder.StopPolicyDescriptor.withAccuracyLimit	(		self,
			limit
	)

Defines the accuracy for test data, which have to be arrived.

Parameters

limit

float for accuracy

Returns

: StopPolicyDescriptor itself

References python.learner.LearnerBuilder.LearnerBuilder.StopPolicyDescriptor.__policy, and python.learner.LearnerBuilder.LearnerBuilder.FoldingDescriptor.__policy.

withAdaptiveIterationLimit()

python.learner.LearnerBuilder.LearnerBuilder.StopPolicyDescriptor.withAdaptiveIterationLimit	(		self,
			limit
	)

Defines the maximal number of refinement steps limit.

Parameters

limit

integer for maximal number of refinement steps

Returns

: StopPolicyDescriptor itself

References python.learner.LearnerBuilder.LearnerBuilder.StopPolicyDescriptor.__policy, and python.learner.LearnerBuilder.LearnerBuilder.FoldingDescriptor.__policy.

withEpochsLimit()

python.learner.LearnerBuilder.LearnerBuilder.StopPolicyDescriptor.withEpochsLimit	(		self,
			limit
	)

Defines the maximal number of epochs MSE of test data can constantly increase.

Parameters

limit

integer for maximal number of epochs

Returns

: StopPolicyDescriptor itself

References python.learner.LearnerBuilder.LearnerBuilder.StopPolicyDescriptor.__policy, and python.learner.LearnerBuilder.LearnerBuilder.FoldingDescriptor.__policy.

withGridSizeLimit()

python.learner.LearnerBuilder.LearnerBuilder.StopPolicyDescriptor.withGridSizeLimit	(		self,
			limit
	)

Defines the maximal number of points on grid.

Parameters

limit

integer for maximal number of points on grid

Returns

: StopPolicyDescriptor itself

References python.learner.LearnerBuilder.LearnerBuilder.StopPolicyDescriptor.__policy, and python.learner.LearnerBuilder.LearnerBuilder.FoldingDescriptor.__policy.

withMSELimit()

python.learner.LearnerBuilder.LearnerBuilder.StopPolicyDescriptor.withMSELimit	(		self,
			limit
	)

Defines the MSE for test data, which have to be arrived.

Parameters

limit

float for MSE

Returns

: StopPolicyDescriptor itself

References python.learner.LearnerBuilder.LearnerBuilder.StopPolicyDescriptor.__policy, and python.learner.LearnerBuilder.LearnerBuilder.FoldingDescriptor.__policy.

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

• datadriven/python/learner/LearnerBuilder.py