python.learner.LearnerBuilder.LearnerBuilder.SpecificationDescriptor Class Reference

TrainingSpecification Descriptor helps to implement fluid interface patter on python it encapsulates functionality concerning creation of the training specification. More...

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

Public Member Functions
def	__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. More...
def	__init__ (self, builder)
	Constructor. More...
def	withAdaptPoints (self, value)
	Specifies number of points, which have to be refined in refinement step. More...
def	withAdaptRate (self, value)
	Specifies rate from total number of points on grid, which should be refined. More...
def	withAdaptThreshold (self, value)
	Specifies refinement threshold. More...
def	withIdentityOperator (self)
	Specifies to use identity operator. More...
def	withLambda (self, value)
	Specifies regression parameter of the learner. More...
def	withLaplaceOperator (self)
	Specifies to use laplace operator. More...
def	withVectorizationType (self, vecType)

Detailed Description

TrainingSpecification Descriptor helps to implement fluid interface patter on python it encapsulates functionality concerning creation of the training specification.

Constructor & Destructor Documentation

__init__()

def python.learner.LearnerBuilder.LearnerBuilder.SpecificationDescriptor.__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, and python.learner.LearnerBuilder.LearnerBuilder.SpecificationDescriptor.__specification.

Member Function Documentation

__getattr__()

def python.learner.LearnerBuilder.LearnerBuilder.SpecificationDescriptor.__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.SpecificationDescriptor.__specification, and python.learner.LearnerBuilder.LearnerBuilder.getLearner().

withAdaptPoints()

def python.learner.LearnerBuilder.LearnerBuilder.SpecificationDescriptor.withAdaptPoints	(		self,
			value
	)

Specifies number of points, which have to be refined in refinement step.

Parameters

value

integer for number of points to refine

Returns

: SpecificationDescriptor itself

References python.learner.LearnerBuilder.LearnerBuilder.SpecificationDescriptor.__specification.

withAdaptRate()

def python.learner.LearnerBuilder.LearnerBuilder.SpecificationDescriptor.withAdaptRate	(		self,
			value
	)

Specifies rate from total number of points on grid, which should be refined.

Parameters

value

float for rate

Returns

: SpecificationDescriptor itself

References python.learner.LearnerBuilder.LearnerBuilder.SpecificationDescriptor.__specification.

withAdaptThreshold()

def python.learner.LearnerBuilder.LearnerBuilder.SpecificationDescriptor.withAdaptThreshold	(		self,
			value
	)

Specifies refinement threshold.

Parameters

value

float for refinement threshold

Returns

: SpecificationDescriptor itself

References python.learner.LearnerBuilder.LearnerBuilder.SpecificationDescriptor.__specification.

withIdentityOperator()

def python.learner.LearnerBuilder.LearnerBuilder.SpecificationDescriptor.withIdentityOperator

(

self

)

Specifies to use identity operator.

Returns

: SpecificationDescriptor itself

References python.learner.LearnerBuilder.LearnerBuilder.SpecificationDescriptor.__specification.

withLambda()

def python.learner.LearnerBuilder.LearnerBuilder.SpecificationDescriptor.withLambda	(		self,
			value
	)

Specifies regression parameter of the learner.

Parameters

value

float for regression parameter

Returns

: SpecificationDescriptor itself

References python.learner.LearnerBuilder.LearnerBuilder.SpecificationDescriptor.__specification.

withLaplaceOperator()

def python.learner.LearnerBuilder.LearnerBuilder.SpecificationDescriptor.withLaplaceOperator

(

self

)

Specifies to use laplace operator.

Returns

: SpecificationDescriptor itself

References python.learner.LearnerBuilder.LearnerBuilder.SpecificationDescriptor.__specification.

withVectorizationType()

def python.learner.LearnerBuilder.LearnerBuilder.SpecificationDescriptor.withVectorizationType	(		self,
			vecType
	)

References python.learner.LearnerBuilder.LearnerBuilder.SpecificationDescriptor.__specification.

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

• datadriven/python/learner/LearnerBuilder.py