python.learner.Learner.Learner Class Reference

The class implements the routines common for classifier and regressor. More...

Inheritance diagram for python.learner.Learner.Learner:

Public Member Functions
def	__init__ (self)
	Constructor. More...
def	applyData (self, points)
	Calculate the value of the function for given points. More...
def	attachEventController (self, observer)
	Add observer to the list. More...
def	createMemento (self)
	Creates a new memento to hold the current state. More...
def	detachEventController (self, observer)
	Remove observer from the list. More...
def	doLearningIteration (self, set)
	Perform one learning step. More...
def	evalError (self, dataContainer, alpha)
	Evaluate accuracy this method is not implemented! More...
def	fromJson (self, jsonObject)
	Restores the attributes of a subclass of Learner from the json object with attributes. More...
def	getCurrentIterationNumber (self)
	Returns the number of current iteration. More...
def	learnData (self)
	Simple data learning. More...
def	learnDataWithFolding (self)
	Learn data with cross-fold validation. More...
def	learnDataWithTest (self, dataset=None)
	Learn data from training data set and use validation data set to prevent overfitting. More...
def	notifyEventControllers (self, event)
	Notify all observers about the new event. More...
def	refineGrid (self)
	Refines Grid the function is not implemented here. More...
def	setCurrentIterationNumber (self, value)
	Sets the number of current iteration. More...
def	setDataContainer (self, container)
	Setter for data container. More...
def	setFoldingPolicy (self, policy)
	Setter for folding policy. More...
def	setGrid (self, grid)
	Setter for grid. More...
def	setLearnedKnowledge (self, knowledge)
	Setter for learned knowledge. More...
def	setMemento (self, memento)
	Restores the state which is saved in the given memento. More...
def	setSolver (self, solver)
	Setter for linear solver. More...
def	setSpecification (self, specification)
	Setter for training specification. More...
def	setStopPolicy (self, policy)
	Setter for training stop policy. More...
def	setVerbosity (self, verb)
	Sets the verbosity level in the solver (default: False) More...
def	toString (self)
	Returns a string that represents the object. More...
def	updateResults (self, alpha, trainSubset, testSubset=None)
	Update different statistics about training progress this method is not implemented! More...

Static Public Attributes
	alpha = None
	DataVector with current alpha vector. More...
	dataContainer = None
	DataContainer object with training (and maybe test) data. More...
	eventControllers = None
	list of object listening to the learning events More...
	foldingPolicy = None
	Implementation of folding policy if training with folding is used. More...
	grid = None
	Grid of the Learner. More...
	iteration = None
	Number of current iterations. More...
	knowledge = None
	LearnedKnowledge where alpha is stored. More...
	linearSystem = None
	DMSystemMatrix object associated with this Learner. More...
	numberPoints = None
	List of numbers of point on grid for different refinement iterations. More...
	solver = None
	LinearSolver object associated with this Learner. More...
	specification = None
	TrainingSpecification object associated with this Learner. More...
	stopPolicy = None
	TrainingStopPolicy object associated with this Learner. More...
	testAccuracy = None
	list of test accuracy values measured in refinement iteration More...
	testingOverall = None
	List of average training accuracy data over all refinement iterations. More...
	trainAccuracy = None
	list of train accuracy values measured in refinement iteration More...
	trainingOverall = None
	List of average training accuracy data over all refinement iterations. More...
	useVerbose = None
	Verbosity level in the solver iterations. More...

Detailed Description

The class implements the routines common for classifier and regressor.

However, since some methods are defined and note implemented, this class is abstract and cannot be instantiated.

The class also implements the subject of the observer design pattern.

design pattern

To customize the processing of progress information in SGPP the observer pattern is used. The classes that want to be informed about events should implement LearnerEvenController and subscribe by the instance of Learner subclass with attachEventController(). After some event of LearnerEvents arise, the Learner subclass object calls method handleLearningEvent() by all subscribers. As subscribers get a reference to the Learner object, they can retrieve the attributes of the learner and process the information.

Roles

• Subject: Learner
• Concrete subject: e.g. Classifier or Regressor
• Observer: LernerEventController
• Concrete Observer: e.g. InfoToScreen

Observer can also want to retrieve the process information from LinearSolver. See documentation ofLinearSolver for more information.

Constructor & Destructor Documentation

__init__()

def python.learner.Learner.Learner.__init__

(

self

)

Constructor.

References python.learner.Learner.Learner.eventControllers, python.learner.Learner.Learner.iteration, python.learner.Learner.Learner.numberPoints, python.learner.Learner.Learner.testAccuracy, python.learner.Learner.Learner.testingOverall, python.learner.Learner.Learner.trainAccuracy, python.learner.Learner.Learner.trainingOverall, and python.learner.Learner.Learner.useVerbose.

Member Function Documentation

applyData()

def python.learner.Learner.Learner.applyData	(		self,
			points
	)

Calculate the value of the function for given points.

Parameters

points

DataVector set of points

Returns

: DataVector values

References sgpp::op_factory.createOperationEval(), sgpp::base::OperationMultipleEval.grid, sgpp::base::OperationFirstMomentBspline.grid, sgpp::base::OperationFirstMomentPolyClenshawCurtis.grid, sgpp::base::OperationFirstMomentPoly.grid, sgpp::base::OperationSecondMomentPolyBoundary.grid, sgpp::base::OperationSecondMomentPolyClenshawCurtis.grid, sgpp::base::OperationFirstMomentModPolyClenshawCurtis.grid, sgpp::base::OperationFirstMomentPolyBoundary.grid, sgpp::base::OperationFirstMomentBsplineBoundary.grid, sgpp::base::OperationFirstMomentModBspline.grid, sgpp::base::OperationSecondMomentPoly.grid, sgpp::base::OperationSecondMomentBspline.grid, sgpp::base::OperationSecondMomentBsplineBoundary.grid, sgpp::base::OperationSecondMomentModBspline.grid, sgpp::base::OperationFirstMomentModPoly.grid, sgpp::base::OperationSecondMomentModPoly.grid, sgpp::base::OperationSecondMomentModPolyClenshawCurtis.grid, sgpp::base::OperationSecondMomentPolyClenshawCurtisBoundary.grid, sgpp::base::OperationFirstMomentPolyClenshawCurtisBoundary.grid, sgpp::base::OperationSecondMomentModBsplineClenshawCurtis.grid, sgpp::base::OperationFirstMomentBsplineClenshawCurtis.grid, sgpp::base::OperationFirstMomentModBsplineClenshawCurtis.grid, sgpp::base::OperationSecondMomentBsplineClenshawCurtis.grid, sgpp::base::OperationHierarchisationFundamentalSpline.grid, sgpp::base::OperationHierarchisationModFundamentalSpline.grid, sgpp::base::OperationArbitraryBoundaryHierarchisation.grid, python.learner.Learner.Learner.grid, sgpp::base::HierarchisationModFundamentalSpline.grid, sgpp::base::DehierarchisationFundamentalSpline.grid, sgpp::base::HierarchisationFundamentalSpline.grid, sgpp::base::DehierarchisationModFundamentalSpline.grid, sgpp::base::OperationQuadratureMC.grid, python.controller.CheckpointController.CheckpointController.grid, sgpp::combigrid::LTwoScalarProductHashMapNakBsplineBoundaryCombigrid.grid, sgpp::base::ImpurityRefinementIndicator.grid, sgpp::base::ForwardSelectorRefinementIndicator.grid, python.learner.Learner.Learner.knowledge, python.controller.CheckpointController.CheckpointController.knowledge, python.learner.Learner.Learner.notifyEventControllers(), and python.learner.Learner.Learner.specification.

attachEventController()

def python.learner.Learner.Learner.attachEventController	(		self,
			observer
	)

Add observer to the list.

Parameters

observer

LearnerEventController object

References python.learner.Learner.Learner.eventControllers.

createMemento()

def python.learner.Learner.Learner.createMemento

(

self

)

Creates a new memento to hold the current state.

Returns

a new memento

References python.utils.json.read(), python.controller.LearnerEventController.LearnerEventController.toString(), python.controller.SolverEventController.SolverEventController.toString(), python.controller.InfoToFile.InfoToFile.toString(), python.learner.formatter.LearnerFormatter.LearnerFormatter.toString(), python.learner.formatter.GridFormatter.GridFormatter.toString(), python.learner.formatter.LearnedKnowledgeFormatter.LearnedKnowledgeFormatter.toString(), python.data.DataSpecification.DataSpecification.toString(), sgpp::base::GridDataBase.toString(), sgpp::base::HashGridStorage.toString(), sgpp::base::HashGridIterator.toString(), sgpp::base::HashGridPoint.toString(), sgpp::base::BoundingBox.toString(), sgpp::base::DataVector.toString(), python.learner.Learner.Learner.toString(), python.data.DataContainer.DataContainer.toString(), sgpp::base::DataVectorSP.toString(), sgpp::base::DataMatrixSP.toString(), and sgpp::base::DataMatrix.toString().

Referenced by python.uq.analysis.asgc.ASGCKnowledge.ASGCKnowledge.writeToFile(), and python.uq.uq_setting.UQSetting.UQSetting.writeToFile().

detachEventController()

def python.learner.Learner.Learner.detachEventController	(		self,
			observer
	)

Remove observer from the list.

Parameters

observer

LearnerEventController object

References python.learner.Learner.Learner.eventControllers.

doLearningIteration()

def python.learner.Learner.Learner.doLearningIteration	(		self,
			set
	)

Perform one learning step.

Parameters

set	DataContainer training data set

Returns

: DataVector alpha vector

References sgpp::base::SurplusRefinementFunctor.alpha, sgpp::base::SurplusCoarseningFunctor.alpha, sgpp::base::SurplusVolumeCoarseningFunctor.alpha, sgpp::base::SurplusVolumeRefinementFunctor.alpha, python.learner.Learner.Learner.alpha, sgpp::op_factory.createOperationIdentity(), sgpp::op_factory.createOperationLaplace(), sgpp::base::OperationMultipleEval.grid, sgpp::base::OperationFirstMomentPoly.grid, sgpp::base::OperationFirstMomentPolyClenshawCurtis.grid, sgpp::base::OperationSecondMomentPolyBoundary.grid, sgpp::base::OperationSecondMomentPolyClenshawCurtis.grid, sgpp::base::OperationFirstMomentModPolyClenshawCurtis.grid, sgpp::base::OperationFirstMomentPolyBoundary.grid, sgpp::base::OperationFirstMomentBspline.grid, sgpp::base::OperationFirstMomentBsplineBoundary.grid, sgpp::base::OperationFirstMomentModBspline.grid, sgpp::base::OperationSecondMomentPoly.grid, sgpp::base::OperationSecondMomentBspline.grid, sgpp::base::OperationSecondMomentBsplineBoundary.grid, sgpp::base::OperationSecondMomentModBspline.grid, sgpp::base::OperationFirstMomentModPoly.grid, sgpp::base::OperationSecondMomentModPoly.grid, sgpp::base::OperationSecondMomentModPolyClenshawCurtis.grid, sgpp::base::OperationSecondMomentPolyClenshawCurtisBoundary.grid, sgpp::base::OperationFirstMomentPolyClenshawCurtisBoundary.grid, sgpp::base::OperationSecondMomentModBsplineClenshawCurtis.grid, sgpp::base::OperationFirstMomentBsplineClenshawCurtis.grid, sgpp::base::OperationFirstMomentModBsplineClenshawCurtis.grid, sgpp::base::OperationSecondMomentBsplineClenshawCurtis.grid, sgpp::base::OperationHierarchisationFundamentalSpline.grid, sgpp::base::OperationHierarchisationModFundamentalSpline.grid, sgpp::base::OperationArbitraryBoundaryHierarchisation.grid, python.learner.Learner.Learner.grid, sgpp::base::DehierarchisationFundamentalSpline.grid, sgpp::base::HierarchisationModFundamentalSpline.grid, sgpp::base::HierarchisationFundamentalSpline.grid, sgpp::base::DehierarchisationModFundamentalSpline.grid, sgpp::base::OperationQuadratureMC.grid, python.controller.CheckpointController.CheckpointController.grid, sgpp::combigrid::LTwoScalarProductHashMapNakBsplineBoundaryCombigrid.grid, sgpp::base::ImpurityRefinementIndicator.grid, sgpp::base::ForwardSelectorRefinementIndicator.grid, python.learner.Learner.Learner.linearSystem, python.learner.Learner.Learner.solver, python.learner.Learner.Learner.specification, and python.learner.Learner.Learner.useVerbose.

Referenced by python.uq.learner.Regressor.Regressor.learnData(), python.learner.Learner.Learner.learnData(), python.uq.learner.Interpolant.Interpolant.learnDataWithTest(), and python.learner.Learner.Learner.learnDataWithTest().

evalError()

def python.learner.Learner.Learner.evalError	(		self,
			dataContainer,
			alpha
	)

Evaluate accuracy this method is not implemented!

Parameters

dataContainer	DataContainer data set
alpha	DataVector alpha-vector

Referenced by python.learner.Regressor.Regressor.updateResults(), python.uq.learner.Interpolant.Interpolant.updateResults(), and python.uq.learner.Regressor.Regressor.updateResults().

fromJson()

def python.learner.Learner.Learner.fromJson	(		self,
			jsonObject
	)

Restores the attributes of a subclass of Learner from the json object with attributes.

Parameters

jsonObject

A json object.

Returns

The restored subclass object of Learner.

References python.learner.Learner.Learner.dataContainer, python.learner.Learner.Learner.iteration, python.learner.Learner.Learner.numberPoints, python.learner.Learner.Learner.solver, python.learner.Learner.Learner.specification, python.learner.Learner.Learner.stopPolicy, python.learner.Learner.Learner.testAccuracy, python.learner.Learner.Learner.trainAccuracy, and python.learner.Learner.Learner.trainingOverall.

Referenced by python.uq.sampler.asgc.ASGCSampler.ASGCSampler.setMemento(), python.uq.analysis.asgc.ASGCKnowledge.ASGCKnowledge.setMemento(), python.uq.learner.Learner.Learner.setMemento(), python.learner.Learner.Learner.setMemento(), and python.uq.uq_setting.UQSetting.UQSetting.setMemento().

getCurrentIterationNumber()

def python.learner.Learner.Learner.getCurrentIterationNumber

(

self

)

Returns the number of current iteration.

Returns

: integer iteration number

References python.learner.Learner.Learner.iteration.

learnData()

def python.learner.Learner.Learner.learnData

(

self

)

Simple data learning.

Returns

: DataVector of alpha

References sgpp::base::SurplusRefinementFunctor.alpha, sgpp::base::SurplusCoarseningFunctor.alpha, sgpp::base::SurplusVolumeCoarseningFunctor.alpha, sgpp::base::SurplusVolumeRefinementFunctor.alpha, python.learner.Learner.Learner.alpha, sgpp::op_factory.createOperationMultipleEval(), python.learner.Learner.Learner.dataContainer, python.learner.Learner.Learner.doLearningIteration(), sgpp::base::OperationMultipleEval.grid, sgpp::base::OperationFirstMomentModPoly.grid, sgpp::base::OperationFirstMomentModPolyClenshawCurtis.grid, sgpp::base::OperationSecondMomentPoly.grid, sgpp::base::OperationSecondMomentPolyBoundary.grid, sgpp::base::OperationSecondMomentPolyClenshawCurtis.grid, sgpp::base::OperationFirstMomentPoly.grid, sgpp::base::OperationFirstMomentPolyBoundary.grid, sgpp::base::OperationFirstMomentPolyClenshawCurtis.grid, sgpp::base::OperationFirstMomentBspline.grid, sgpp::base::OperationFirstMomentBsplineBoundary.grid, sgpp::base::OperationSecondMomentBspline.grid, sgpp::base::OperationSecondMomentBsplineBoundary.grid, sgpp::base::OperationFirstMomentModBspline.grid, sgpp::base::OperationSecondMomentModBspline.grid, sgpp::base::OperationSecondMomentModPoly.grid, sgpp::base::OperationSecondMomentModPolyClenshawCurtis.grid, sgpp::base::OperationSecondMomentPolyClenshawCurtisBoundary.grid, sgpp::base::OperationFirstMomentPolyClenshawCurtisBoundary.grid, sgpp::base::OperationFirstMomentBsplineClenshawCurtis.grid, sgpp::base::OperationSecondMomentBsplineClenshawCurtis.grid, sgpp::base::OperationSecondMomentModBsplineClenshawCurtis.grid, sgpp::base::OperationFirstMomentModBsplineClenshawCurtis.grid, sgpp::base::OperationHierarchisationFundamentalSpline.grid, sgpp::base::OperationHierarchisationModFundamentalSpline.grid, sgpp::base::OperationArbitraryBoundaryHierarchisation.grid, python.learner.Learner.Learner.grid, sgpp::base::HierarchisationModFundamentalSpline.grid, sgpp::base::HierarchisationFundamentalSpline.grid, sgpp::base::DehierarchisationFundamentalSpline.grid, sgpp::base::DehierarchisationModFundamentalSpline.grid, sgpp::base::OperationQuadratureMC.grid, python.controller.CheckpointController.CheckpointController.grid, sgpp::combigrid::LTwoScalarProductHashMapNakBsplineBoundaryCombigrid.grid, sgpp::base::ImpurityRefinementIndicator.grid, sgpp::base::ForwardSelectorRefinementIndicator.grid, python.learner.Learner.Learner.iteration, python.learner.Learner.Learner.notifyEventControllers(), python.learner.Classifier.Classifier.refineGrid(), python.learner.Learner.Learner.refineGrid(), python.learner.Learner.Learner.specification, python.learner.Learner.Learner.stopPolicy, python.learner.Classifier.Classifier.updateResults(), and python.learner.Learner.Learner.updateResults().

Referenced by python.uq.manager.ASGCUQManager.ASGCUQManager.runNextSamples().

learnDataWithFolding()

def python.learner.Learner.Learner.learnDataWithFolding

(

self

)

Learn data with cross-fold validation.

Returns

: list of DataVector alpha in different folds

References sgpp::op_factory.createOperationMultipleEval(), python.learner.Learner.Learner.dataContainer, python.learner.Learner.Learner.foldingPolicy, sgpp::base::OperationMultipleEval.grid, sgpp::base::OperationFirstMomentModPoly.grid, sgpp::base::OperationFirstMomentModPolyClenshawCurtis.grid, sgpp::base::OperationSecondMomentPoly.grid, sgpp::base::OperationSecondMomentPolyBoundary.grid, sgpp::base::OperationSecondMomentPolyClenshawCurtis.grid, sgpp::base::OperationFirstMomentPoly.grid, sgpp::base::OperationFirstMomentPolyBoundary.grid, sgpp::base::OperationFirstMomentBspline.grid, sgpp::base::OperationSecondMomentModPolyClenshawCurtis.grid, sgpp::base::OperationFirstMomentPolyClenshawCurtis.grid, sgpp::base::OperationFirstMomentBsplineBoundary.grid, sgpp::base::OperationSecondMomentBspline.grid, sgpp::base::OperationSecondMomentBsplineBoundary.grid, sgpp::base::OperationFirstMomentModBspline.grid, sgpp::base::OperationSecondMomentModBspline.grid, sgpp::base::OperationSecondMomentModPoly.grid, sgpp::base::OperationFirstMomentModBsplineClenshawCurtis.grid, sgpp::base::OperationSecondMomentPolyClenshawCurtisBoundary.grid, sgpp::base::OperationFirstMomentPolyClenshawCurtisBoundary.grid, sgpp::base::OperationFirstMomentBsplineClenshawCurtis.grid, sgpp::base::OperationSecondMomentModBsplineClenshawCurtis.grid, sgpp::base::OperationSecondMomentBsplineClenshawCurtis.grid, sgpp::base::OperationHierarchisationModFundamentalSpline.grid, sgpp::base::OperationHierarchisationFundamentalSpline.grid, sgpp::base::OperationArbitraryBoundaryHierarchisation.grid, python.learner.Learner.Learner.grid, sgpp::base::HierarchisationModFundamentalSpline.grid, sgpp::base::HierarchisationFundamentalSpline.grid, sgpp::base::DehierarchisationFundamentalSpline.grid, sgpp::base::DehierarchisationModFundamentalSpline.grid, sgpp::base::OperationQuadratureMC.grid, python.controller.CheckpointController.CheckpointController.grid, sgpp::combigrid::LTwoScalarProductHashMapNakBsplineBoundaryCombigrid.grid, sgpp::base::ForwardSelectorRefinementIndicator.grid, sgpp::base::ImpurityRefinementIndicator.grid, python.learner.Learner.Learner.learnDataWithTest(), python.learner.Learner.Learner.notifyEventControllers(), and python.learner.Learner.Learner.specification.

learnDataWithTest()

def python.learner.Learner.Learner.learnDataWithTest	(		self,
			dataset = None
	)

Learn data from training data set and use validation data set to prevent overfitting.

Parameters

dataset

DataContainer object with data sets, default value None (initialized data set used)

Returns

: DataVector of alpha

References sgpp::base::SurplusRefinementFunctor.alpha, sgpp::base::SurplusCoarseningFunctor.alpha, sgpp::base::SurplusVolumeCoarseningFunctor.alpha, sgpp::base::SurplusVolumeRefinementFunctor.alpha, python.learner.Learner.Learner.alpha, sgpp::op_factory.createOperationMultipleEval(), python.learner.Learner.Learner.dataContainer, python.learner.Learner.Learner.doLearningIteration(), sgpp::base::OperationMultipleEval.grid, sgpp::base::OperationFirstMomentModPoly.grid, sgpp::base::OperationFirstMomentModPolyClenshawCurtis.grid, sgpp::base::OperationSecondMomentPoly.grid, sgpp::base::OperationSecondMomentPolyBoundary.grid, sgpp::base::OperationSecondMomentPolyClenshawCurtis.grid, sgpp::base::OperationFirstMomentPoly.grid, sgpp::base::OperationFirstMomentPolyBoundary.grid, sgpp::base::OperationFirstMomentPolyClenshawCurtis.grid, sgpp::base::OperationFirstMomentBspline.grid, sgpp::base::OperationFirstMomentBsplineBoundary.grid, sgpp::base::OperationSecondMomentBspline.grid, sgpp::base::OperationSecondMomentBsplineBoundary.grid, sgpp::base::OperationFirstMomentModBspline.grid, sgpp::base::OperationSecondMomentModBspline.grid, sgpp::base::OperationSecondMomentModPoly.grid, sgpp::base::OperationSecondMomentModPolyClenshawCurtis.grid, sgpp::base::OperationSecondMomentPolyClenshawCurtisBoundary.grid, sgpp::base::OperationFirstMomentPolyClenshawCurtisBoundary.grid, sgpp::base::OperationFirstMomentBsplineClenshawCurtis.grid, sgpp::base::OperationSecondMomentBsplineClenshawCurtis.grid, sgpp::base::OperationSecondMomentModBsplineClenshawCurtis.grid, sgpp::base::OperationFirstMomentModBsplineClenshawCurtis.grid, sgpp::base::OperationHierarchisationFundamentalSpline.grid, sgpp::base::OperationHierarchisationModFundamentalSpline.grid, sgpp::base::OperationArbitraryBoundaryHierarchisation.grid, python.learner.Learner.Learner.grid, sgpp::base::HierarchisationModFundamentalSpline.grid, sgpp::base::HierarchisationFundamentalSpline.grid, sgpp::base::DehierarchisationFundamentalSpline.grid, sgpp::base::DehierarchisationModFundamentalSpline.grid, sgpp::base::OperationQuadratureMC.grid, python.controller.CheckpointController.CheckpointController.grid, sgpp::combigrid::LTwoScalarProductHashMapNakBsplineBoundaryCombigrid.grid, sgpp::base::ImpurityRefinementIndicator.grid, sgpp::base::ForwardSelectorRefinementIndicator.grid, python.learner.Learner.Learner.iteration, python.learner.Learner.Learner.notifyEventControllers(), python.learner.Classifier.Classifier.refineGrid(), python.learner.Learner.Learner.refineGrid(), python.learner.Learner.Learner.specification, python.learner.Learner.Learner.stopPolicy, python.learner.Classifier.Classifier.updateResults(), and python.learner.Learner.Learner.updateResults().

Referenced by python.uq.manager.ASGCUQManager.ASGCUQManager.learnData(), python.uq.learner.Regressor.Regressor.learnDataWithFolding(), and python.learner.Learner.Learner.learnDataWithFolding().

notifyEventControllers()

def python.learner.Learner.Learner.notifyEventControllers	(		self,
			event
	)

Notify all observers about the new event.

Parameters

event

LearnerEvents event

References python.learner.Learner.Learner.eventControllers.

Referenced by python.learner.Learner.Learner.applyData(), python.uq.learner.Regressor.Regressor.learnData(), python.uq.learner.Interpolant.Interpolant.learnData(), python.learner.Learner.Learner.learnData(), python.uq.learner.Regressor.Regressor.learnDataWithFolding(), python.learner.Learner.Learner.learnDataWithFolding(), python.uq.learner.Regressor.Regressor.learnDataWithTest(), python.uq.learner.Interpolant.Interpolant.learnDataWithTest(), python.learner.Learner.Learner.learnDataWithTest(), python.learner.Classifier.Classifier.refineGrid(), python.learner.Regressor.Regressor.refineGrid(), and python.uq.learner.Regressor.Regressor.refineGrid().

refineGrid()

def python.learner.Learner.Learner.refineGrid

(

self

)

Refines Grid the function is not implemented here.

Referenced by python.uq.learner.Regressor.Regressor.learnData(), python.learner.Learner.Learner.learnData(), and python.learner.Learner.Learner.learnDataWithTest().

setCurrentIterationNumber()

def python.learner.Learner.Learner.setCurrentIterationNumber	(		self,
			value
	)

Sets the number of current iteration.

Parameters

value

integer new iteration number

References python.learner.Learner.Learner.iteration.

setDataContainer()

def python.learner.Learner.Learner.setDataContainer	(		self,
			container
	)

Setter for data container.

Parameters

container

the data container object

Returns

: leaner itself

References python.learner.Learner.Learner.dataContainer.

setFoldingPolicy()

def python.learner.Learner.Learner.setFoldingPolicy	(		self,
			policy
	)

Setter for folding policy.

Parameters

policy

the folding policy object

Returns

: leaner itself

References python.learner.Learner.Learner.foldingPolicy.

setGrid()

def python.learner.Learner.Learner.setGrid	(		self,
			grid
	)

Setter for grid.

Parameters

grid	the grid obejct

Returns

: leaner itself

References sgpp::base::OperationMultipleEval.grid, sgpp::base::OperationFirstMomentBspline.grid, sgpp::base::OperationFirstMomentPolyBoundary.grid, sgpp::base::OperationFirstMomentPolyClenshawCurtis.grid, sgpp::base::OperationFirstMomentBsplineBoundary.grid, sgpp::base::OperationFirstMomentModBspline.grid, sgpp::base::OperationSecondMomentPolyClenshawCurtis.grid, sgpp::base::OperationSecondMomentPolyBoundary.grid, sgpp::base::OperationSecondMomentPoly.grid, sgpp::base::OperationSecondMomentBspline.grid, sgpp::base::OperationSecondMomentBsplineBoundary.grid, sgpp::base::OperationFirstMomentModPoly.grid, sgpp::base::OperationSecondMomentModBspline.grid, sgpp::base::OperationSecondMomentModPoly.grid, sgpp::base::OperationFirstMomentModPolyClenshawCurtis.grid, sgpp::base::OperationSecondMomentModPolyClenshawCurtis.grid, sgpp::base::OperationFirstMomentPoly.grid, sgpp::base::OperationSecondMomentModBsplineClenshawCurtis.grid, sgpp::base::OperationSecondMomentPolyClenshawCurtisBoundary.grid, sgpp::base::OperationFirstMomentPolyClenshawCurtisBoundary.grid, sgpp::base::OperationFirstMomentBsplineClenshawCurtis.grid, sgpp::base::OperationSecondMomentBsplineClenshawCurtis.grid, sgpp::base::OperationFirstMomentModBsplineClenshawCurtis.grid, sgpp::base::OperationHierarchisationFundamentalSpline.grid, sgpp::base::OperationHierarchisationModFundamentalSpline.grid, sgpp::base::OperationArbitraryBoundaryHierarchisation.grid, python.learner.Learner.Learner.grid, sgpp::base::HierarchisationFundamentalSpline.grid, sgpp::base::HierarchisationModFundamentalSpline.grid, sgpp::base::DehierarchisationFundamentalSpline.grid, sgpp::base::DehierarchisationModFundamentalSpline.grid, sgpp::base::OperationQuadratureMC.grid, python.controller.CheckpointController.CheckpointController.grid, sgpp::combigrid::LTwoScalarProductHashMapNakBsplineBoundaryCombigrid.grid, sgpp::base::ImpurityRefinementIndicator.grid, and sgpp::base::ForwardSelectorRefinementIndicator.grid.

setLearnedKnowledge()

def python.learner.Learner.Learner.setLearnedKnowledge	(		self,
			knowledge
	)

Setter for learned knowledge.

Parameters

knowledge

the learned knowledge object

Returns

: leaner itself

References python.learner.Learner.Learner.knowledge, and python.controller.CheckpointController.CheckpointController.knowledge.

setMemento()

def python.learner.Learner.Learner.setMemento	(		self,
			memento
	)

Restores the state which is saved in the given memento.

Parameters

memento

the memento object

References python.data.DataContainer.DataContainer.fromJson(), and python.learner.Learner.Learner.fromJson().

setSolver()

def python.learner.Learner.Learner.setSolver	(		self,
			solver
	)

Setter for linear solver.

Parameters

solver

the linear solver object

Returns

: leaner itself

References python.learner.Learner.Learner.solver.

setSpecification()

def python.learner.Learner.Learner.setSpecification	(		self,
			specification
	)

Setter for training specification.

Parameters

specification

the training specification object

Returns

: leaner itself

References python.learner.Learner.Learner.specification.

setStopPolicy()

def python.learner.Learner.Learner.setStopPolicy	(		self,
			policy
	)

Setter for training stop policy.

Parameters

policy

the training stop policy object

Returns

: leaner itself

References python.learner.Learner.Learner.stopPolicy.

setVerbosity()

def python.learner.Learner.Learner.setVerbosity	(		self,
			verb
	)

Sets the verbosity level in the solver (default: False)

Parameters

verb	bool if verbose

References python.learner.Learner.Learner.useVerbose.

toString()

def python.learner.Learner.Learner.toString

(

self

)

Returns a string that represents the object.

Returns

A string that represents the object.

References python.learner.Learner.Learner.__listOfFloatsToString(), python.learner.Learner.Learner.__SERIALIZABLE_ATTRIBUTES, and create_dataset.type.

Referenced by python.uq.learner.Learner.Learner.createMemento(), and python.learner.Learner.Learner.createMemento().

updateResults()

def python.learner.Learner.Learner.updateResults	(		self,
			alpha,
			trainSubset,
			testSubset = None
	)

Update different statistics about training progress this method is not implemented!

Parameters

alpha	DataVector alpha-vector
trainSubset	DataContainer with training data
testSubset	DataContainer with validation data, default value: None

Referenced by python.uq.learner.Regressor.Regressor.learnData(), python.uq.learner.SimulationLearner.SimulationLearner.learnData(), python.learner.Learner.Learner.learnData(), python.uq.learner.SimulationLearner.SimulationLearner.learnDataWithFolding(), python.uq.learner.Interpolant.Interpolant.learnDataWithTest(), python.learner.Learner.Learner.learnDataWithTest(), and python.uq.learner.SimulationLearner.SimulationLearner.learnDataWithTest().

Member Data Documentation

alpha

python.learner.Learner.Learner.alpha = None

static

DataVector with current alpha vector.

Referenced by python.learner.Learner.Learner.doLearningIteration(), python.uq.learner.Regressor.Regressor.learnData(), python.learner.Learner.Learner.learnData(), python.uq.learner.Interpolant.Interpolant.learnDataWithTest(), python.learner.Learner.Learner.learnDataWithTest(), python.uq.dists.SGDEdist.SGDEdist.pdf(), python.learner.Classifier.Classifier.refineGrid(), and python.uq.dists.SGDEdist.SGDEdist.toJson().

dataContainer

python.learner.Learner.Learner.dataContainer = None

static

DataContainer object with training (and maybe test) data.

Referenced by python.uq.learner.Learner.Learner.fromJson(), python.learner.Learner.Learner.fromJson(), python.uq.learner.Regressor.Regressor.learnData(), python.uq.learner.Interpolant.Interpolant.learnData(), python.uq.learner.SimulationLearner.SimulationLearner.learnData(), python.learner.Learner.Learner.learnData(), python.uq.learner.Regressor.Regressor.learnDataWithFolding(), python.uq.learner.SimulationLearner.SimulationLearner.learnDataWithFolding(), python.learner.Learner.Learner.learnDataWithFolding(), python.uq.manager.ASGCUQManager.ASGCUQManager.learnDataWithoutTest(), python.uq.learner.Regressor.Regressor.learnDataWithTest(), python.uq.learner.Interpolant.Interpolant.learnDataWithTest(), python.learner.Learner.Learner.learnDataWithTest(), python.uq.manager.ASGCUQManager.ASGCUQManager.learnDataWithTest(), python.uq.learner.SimulationLearner.SimulationLearner.learnDataWithTest(), python.uq.manager.ASGCUQManager.ASGCUQManager.recomputeStats(), python.uq.learner.SimulationLearner.SimulationLearner.setDataContainer(), python.uq.learner.Learner.Learner.setDataContainer(), python.learner.Learner.Learner.setDataContainer(), python.uq.manager.ASGCUQManager.ASGCUQManager.updateDataContainer(), and python.uq.learner.Learner.Learner.updateFoldingPolicy().

eventControllers

python.learner.Learner.Learner.eventControllers = None

static

list of object listening to the learning events

Referenced by python.learner.solver.LinearSolver.LinearSolver.__init__(), python.uq.learner.Learner.Learner.__init__(), python.learner.Learner.Learner.__init__(), python.learner.solver.LinearSolver.LinearSolver.attachEventController(), python.uq.learner.Learner.Learner.attachEventController(), python.learner.Learner.Learner.attachEventController(), python.uq.learner.Learner.Learner.copy(), python.learner.solver.LinearSolver.LinearSolver.detachEventController(), python.uq.learner.Learner.Learner.detachEventController(), python.learner.Learner.Learner.detachEventController(), python.learner.solver.LinearSolver.LinearSolver.notifyEventControllers(), python.uq.learner.Learner.Learner.notifyEventControllers(), and python.learner.Learner.Learner.notifyEventControllers().

foldingPolicy

python.learner.Learner.Learner.foldingPolicy = None

static

Implementation of folding policy if training with folding is used.

Referenced by python.uq.learner.Learner.Learner.copy(), python.uq.learner.Regressor.Regressor.learnDataWithFolding(), python.learner.Learner.Learner.learnDataWithFolding(), python.uq.learner.Learner.Learner.setFoldingPolicy(), python.learner.Learner.Learner.setFoldingPolicy(), and python.uq.learner.Learner.Learner.updateFoldingPolicy().

grid

python.learner.Learner.Learner.grid = None

static

Grid of the Learner.

Referenced by python.uq.dists.SGDEdist.SGDEdist.__str__(), python.learner.Learner.Learner.applyData(), python.tools.Matrix.ApplyMatrix(), python.uq.dists.SGDEdist.SGDEdist.cdf(), python.uq.learner.Interpolant.Interpolant.doLearningIteration(), python.learner.Learner.Learner.doLearningIteration(), python.learner.Classifier.Classifier.evalError(), python.uq.learner.Interpolant.Interpolant.evalError(), python.tools.Matrix.generateb(), python.uq.learner.SimulationLearner.SimulationLearner.getCollocationNodes(), python.uq.learner.SimulationLearner.SimulationLearner.getGrid(), python.uq.learner.SimulationLearner.SimulationLearner.getLearner(), python.uq.learner.Regressor.Regressor.learnData(), python.learner.Learner.Learner.learnData(), python.uq.learner.Regressor.Regressor.learnDataWithFolding(), python.learner.Learner.Learner.learnDataWithFolding(), python.uq.learner.Regressor.Regressor.learnDataWithTest(), python.learner.Learner.Learner.learnDataWithTest(), python.uq.operations.forcePositivity.operationMakePositive.OperationMakePositive.makePositive(), python.uq.operations.forcePositivity.operationMakePositiveFast.OperationMakePositiveFast.makePositive(), python.uq.dists.SGDEdist.SGDEdist.mean(), python.uq.dists.SGDEdist.SGDEdist.pdf(), python.uq.dists.SGDEdist.SGDEdist.ppf(), python.learner.Classifier.Classifier.refineGrid(), python.learner.Regressor.Regressor.refineGrid(), python.uq.learner.Regressor.Regressor.refineGrid(), python.uq.learner.SimulationLearner.SimulationLearner.refineGrid(), python.uq.learner.Learner.Learner.setGrid(), python.learner.Learner.Learner.setGrid(), python.uq.operations.forcePositivity.localFullGridSearch.LocalFullGrid.split(), python.uq.dists.SGDEdist.SGDEdist.toJson(), python.learner.Classifier.Classifier.updateResults(), python.learner.Regressor.Regressor.updateResults(), python.uq.learner.Regressor.Regressor.updateResults(), and python.uq.dists.SGDEdist.SGDEdist.var().

iteration

python.learner.Learner.Learner.iteration = None

static

Number of current iterations.

Referenced by python.uq.learner.Learner.Learner.__init__(), python.learner.Learner.Learner.__init__(), python.uq.learner.Learner.Learner.fromJson(), python.learner.Learner.Learner.fromJson(), python.uq.learner.Learner.Learner.getCurrentIterationNumber(), python.learner.Learner.Learner.getCurrentIterationNumber(), python.uq.operations.forcePositivity.findCandidateSet.CandidateSet.hasMoreCandidates(), python.uq.learner.Regressor.Regressor.learnData(), python.learner.Learner.Learner.learnData(), python.uq.learner.Interpolant.Interpolant.learnDataWithTest(), python.learner.Learner.Learner.learnDataWithTest(), python.uq.learner.SimulationLearner.SimulationLearner.refineGrid(), python.uq.learner.Learner.Learner.setCurrentIterationNumber(), python.learner.Learner.Learner.setCurrentIterationNumber(), and python.uq.learner.SimulationLearner.SimulationLearner.updateResults().

knowledge

python.learner.Learner.Learner.knowledge = None

static

LearnedKnowledge where alpha is stored.

Referenced by python.learner.Learner.Learner.applyData(), python.uq.learner.Learner.Learner.copy(), python.uq.learner.SimulationLearner.SimulationLearner.getKnowledge(), python.uq.manager.ASGCUQManager.ASGCUQManager.getKnowledge(), python.uq.manager.ASGCUQManager.ASGCUQManager.learnDataWithoutTest(), python.uq.manager.ASGCUQManager.ASGCUQManager.learnDataWithTest(), python.uq.manager.ASGCUQManager.ASGCUQManager.recomputeStats(), python.uq.manager.ASGCUQManager.ASGCUQManager.runNextSamples(), python.uq.learner.Learner.Learner.setLearnedKnowledge(), python.learner.Learner.Learner.setLearnedKnowledge(), python.learner.Classifier.Classifier.updateResults(), python.learner.Regressor.Regressor.updateResults(), and python.uq.learner.SimulationLearner.SimulationLearner.updateResults().

linearSystem

python.learner.Learner.Learner.linearSystem = None

static

DMSystemMatrix object associated with this Learner.

Referenced by python.learner.Learner.Learner.doLearningIteration().

numberPoints

python.learner.Learner.Learner.numberPoints = None

static

List of numbers of point on grid for different refinement iterations.

Referenced by python.uq.learner.Learner.Learner.__init__(), python.learner.Learner.Learner.__init__(), python.uq.learner.Learner.Learner.fromJson(), python.learner.Learner.Learner.fromJson(), python.learner.Classifier.Classifier.updateResults(), python.uq.manager.ASGCStatistics.ASGCStatistics.updateResults(), python.learner.Regressor.Regressor.updateResults(), python.uq.learner.Regressor.Regressor.updateResults(), and python.uq.learner.SimulationLearner.SimulationLearner.updateResults().

solver

python.learner.Learner.Learner.solver = None

static

LinearSolver object associated with this Learner.

Referenced by python.uq.learner.Learner.Learner.copy(), python.learner.Learner.Learner.doLearningIteration(), python.uq.learner.Learner.Learner.fromJson(), python.learner.Learner.Learner.fromJson(), python.uq.learner.Learner.Learner.setSolver(), and python.learner.Learner.Learner.setSolver().

specification

python.learner.Learner.Learner.specification = None

static

TrainingSpecification object associated with this Learner.

Referenced by python.uq.learner.Regressor.Regressor.__getattr__(), python.uq.learner.SimulationLearner.SimulationLearner.__getattr__(), python.learner.Learner.Learner.applyData(), python.uq.learner.Learner.Learner.copy(), python.learner.Learner.Learner.doLearningIteration(), python.learner.Regressor.Regressor.evalError(), python.uq.learner.Learner.Learner.fromJson(), python.learner.Learner.Learner.fromJson(), python.uq.learner.SimulationLearner.SimulationLearner.getSpecification(), python.uq.learner.Regressor.Regressor.learnData(), python.learner.Learner.Learner.learnData(), python.uq.learner.Regressor.Regressor.learnDataWithFolding(), python.learner.Learner.Learner.learnDataWithFolding(), python.uq.learner.Regressor.Regressor.learnDataWithTest(), python.learner.Learner.Learner.learnDataWithTest(), python.learner.Classifier.Classifier.refineGrid(), python.learner.Regressor.Regressor.refineGrid(), python.uq.learner.SimulationLearner.SimulationLearner.setSpecification(), python.uq.learner.Learner.Learner.setSpecification(), and python.learner.Learner.Learner.setSpecification().

stopPolicy

python.learner.Learner.Learner.stopPolicy = None

static

TrainingStopPolicy object associated with this Learner.

Referenced by python.uq.learner.Learner.Learner.copy(), python.uq.learner.Learner.Learner.fromJson(), python.learner.Learner.Learner.fromJson(), python.uq.learner.Regressor.Regressor.learnData(), python.learner.Learner.Learner.learnData(), python.learner.Learner.Learner.learnDataWithTest(), python.uq.learner.Learner.Learner.setStopPolicy(), and python.learner.Learner.Learner.setStopPolicy().

testAccuracy

python.learner.Learner.Learner.testAccuracy = None

static

list of test accuracy values measured in refinement iteration

Referenced by python.uq.learner.Learner.Learner.__init__(), python.learner.Learner.Learner.__init__(), python.uq.learner.Learner.Learner.fromJson(), python.learner.Learner.Learner.fromJson(), python.learner.Classifier.Classifier.updateResults(), python.learner.Regressor.Regressor.updateResults(), python.uq.learner.Regressor.Regressor.updateResults(), and python.uq.learner.SimulationLearner.SimulationLearner.updateResults().

testingOverall

python.learner.Learner.Learner.testingOverall = None

static

List of average training accuracy data over all refinement iterations.

Referenced by python.uq.learner.Learner.Learner.__init__(), python.learner.Learner.Learner.__init__(), python.learner.Classifier.Classifier.updateResults(), python.learner.Regressor.Regressor.updateResults(), python.uq.learner.Regressor.Regressor.updateResults(), and python.uq.learner.SimulationLearner.SimulationLearner.updateResults().

trainAccuracy

python.learner.Learner.Learner.trainAccuracy = None

static

list of train accuracy values measured in refinement iteration

Referenced by python.uq.learner.Learner.Learner.__init__(), python.learner.Learner.Learner.__init__(), python.uq.learner.Learner.Learner.fromJson(), python.learner.Learner.Learner.fromJson(), python.learner.Classifier.Classifier.updateResults(), python.learner.Regressor.Regressor.updateResults(), python.uq.learner.Regressor.Regressor.updateResults(), and python.uq.learner.SimulationLearner.SimulationLearner.updateResults().

trainingOverall

python.learner.Learner.Learner.trainingOverall = None

static

List of average training accuracy data over all refinement iterations.

Referenced by python.uq.learner.Learner.Learner.__init__(), python.learner.Learner.Learner.__init__(), python.uq.learner.Learner.Learner.fromJson(), python.learner.Learner.Learner.fromJson(), python.learner.Classifier.Classifier.updateResults(), python.learner.Regressor.Regressor.updateResults(), python.uq.learner.Regressor.Regressor.updateResults(), and python.uq.learner.SimulationLearner.SimulationLearner.updateResults().

useVerbose

python.learner.Learner.Learner.useVerbose = None

static

Verbosity level in the solver iterations.

Referenced by python.learner.Learner.Learner.__init__(), python.learner.Learner.Learner.doLearningIteration(), and python.learner.Learner.Learner.setVerbosity().

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

• datadriven/python/learner/Learner.py