python.uq.learner.builder.LearnerBuilder.LearnerBuilder Class Reference

Implement mechanisms to create customized learning system. More...

Inheritance diagram for python.uq.learner.builder.LearnerBuilder.LearnerBuilder:

Public Member Functions
	__init__ (self)
	andGetResult (self)
	buildInterpolant (self)
	getCheckpointController (self)
	getLearner (self)
	withCheckpointController (self, controller)

Protected Attributes
	_checkpointController
	_gridDescriptor
	_learner
	_specificationDescriptor
	_stopPolicyDescriptor

Detailed Description

Implement mechanisms to create customized learning system.

Usage examples

To create a learning system first define if it should be for classification

import pysgpp.extensions.datadriven.learner.LearnerBuilder as LearnerBuilder
builder = LearnerBuilder()
builder = builder.buildClassifier()

or regression

builder = builder.buildRegressor()

LearnerBuilder is implementing Fluent Interface design pattern it means it operates as an automata, switching in some state where you can set all parameters associated with some category. For example to define the grid parameters you switch the builder into GridDescriptor set with

builder = builder.withGrid()...

and then defines corresponding parameters:

builder = builder.withGrid().withLevel(5).withBorder(Types.BorderTypes.TRAPEZOIDBOUNDARY)

Builder can automatically switches to the next state

builder.withGrid()...withCGSolver().withAccuracy(0.00000001)...

After all parameters are set you can return the constructed learning system with

builder.andGetResult()

The complete construction could look like following:

classifier = builder.buildClassifier()\
                     .withTrainingDataFromARFFFile("./datasets/classifier.train.arff")\
                     .withTestingDataFromARFFFile("./datasets/classifier.test.arff")\
                     .withGrid().withLevel(2)\
                     .withSpecification().withLambda(0.00001).withAdaptPoints(2)\
                     .withStopPolicy().withAdaptiveIterationLimit(1)\
                     .withCGSolver().withImax(500)\
                     .withProgressPresenter(InfoToFile("./presentor.test"))\
                     .andGetResult()

Constructor & Destructor Documentation

__init__()

python.uq.learner.builder.LearnerBuilder.LearnerBuilder.__init__

(

self

)

Constructor

Member Function Documentation

andGetResult()

python.uq.learner.builder.LearnerBuilder.LearnerBuilder.andGetResult

(

self

)

Returns the builded learner (regressor or interpolant),
should be called in the and of construction

References python.uq.learner.builder.LearnerBuilder.LearnerBuilder._learner, and python.uq.learner.builder.SimulationLearnerBuilder.SimulationLearnerBuilder._learner.

buildInterpolant()

python.uq.learner.builder.LearnerBuilder.LearnerBuilder.buildInterpolant

(

self

)

References python.uq.learner.builder.LearnerBuilder.LearnerBuilder._learner, python.uq.learner.builder.SimulationLearnerBuilder.SimulationLearnerBuilder._learner, and python.uq.learner.builder.LearnerBuilder.LearnerBuilder._specificationDescriptor.

getCheckpointController()

python.uq.learner.builder.LearnerBuilder.LearnerBuilder.getCheckpointController

(

self

)

Returns the checkpoint controller

References python.uq.learner.builder.LearnerBuilder.LearnerBuilder._checkpointController.

getLearner()

python.uq.learner.builder.LearnerBuilder.LearnerBuilder.getLearner

(

self

)

Returns the object of learner subclass, that is currently beeing
constructed

References python.uq.learner.builder.LearnerBuilder.LearnerBuilder._learner, and python.uq.learner.builder.SimulationLearnerBuilder.SimulationLearnerBuilder._learner.

withCheckpointController()

python.uq.learner.builder.LearnerBuilder.LearnerBuilder.withCheckpointController	(		self,
			controller
	)

Attaches checkpoint controller to the learner
@param controller: Checkpoint controller which implements
LearnerEventController

References python.uq.learner.builder.LearnerBuilder.LearnerBuilder._checkpointController, python.uq.learner.builder.LearnerBuilder.LearnerBuilder._learner, and python.uq.learner.builder.SimulationLearnerBuilder.SimulationLearnerBuilder._learner.

Member Data Documentation

_checkpointController

python.uq.learner.builder.LearnerBuilder.LearnerBuilder._checkpointController

protected

Referenced by python.uq.learner.builder.LearnerBuilder.LearnerBuilder.getCheckpointController(), and python.uq.learner.builder.LearnerBuilder.LearnerBuilder.withCheckpointController().

_gridDescriptor

python.uq.learner.builder.LearnerBuilder.LearnerBuilder._gridDescriptor

protected

Referenced by python.uq.learner.builder.SimulationLearnerBuilder.SimulationLearnerBuilder.withGrid().

_learner

python.uq.learner.builder.LearnerBuilder.LearnerBuilder._learner

protected

Referenced by python.uq.learner.builder.LearnerBuilder.LearnerBuilder.andGetResult(), python.uq.learner.builder.LearnerBuilder.LearnerBuilder.buildInterpolant(), python.uq.learner.builder.LearnerBuilder.LearnerBuilder.getLearner(), python.uq.learner.builder.LearnerBuilder.LearnerBuilder.withCheckpointController(), and python.uq.learner.builder.SimulationLearnerBuilder.SimulationLearnerBuilder.withTestingDataFromUQSettingFile().

_specificationDescriptor

python.uq.learner.builder.LearnerBuilder.LearnerBuilder._specificationDescriptor

protected

Referenced by python.uq.learner.builder.LearnerBuilder.LearnerBuilder.buildInterpolant(), and python.uq.learner.builder.SimulationLearnerBuilder.SimulationLearnerBuilder.withKnowledge().

_stopPolicyDescriptor

python.uq.learner.builder.LearnerBuilder.LearnerBuilder._stopPolicyDescriptor

protected

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

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