python.controller.CheckpointController.CheckpointController Class Reference

Class for handling events for storing and restoring of checkpoints. More...

Inheritance diagram for python.controller.CheckpointController.CheckpointController:

Public Member Functions
def	__init__ (self, title, path=None, interval=None, fold=None)
	Constructor save checkpoint files will have a name like title.iteration. More...
def	composeName (self, iteration=None, fold=None)
	Composes checkpoint file name from path title and iteration number. More...
def	generateFoldValidationJob (self, email="")
	Generates a SGE array job script for concurrent performing of cross-fold validation computations. More...
def	handleLearningEvent (self, subject, status)
def	loadAll (self, iteration)
	Loads the Learner object with corresponding Grid and LearnedKnowledge. More...
def	loadGrid (self, iteration)
	Loads sg.Grid from the checkpoint of given iteration. More...
def	loadLearnedKnowledge (self, iteration)
	Loads knowledge from the checkpoint of given iteration. More...
def	saveAll (self, iteration)
	Saves current Grid, LearnedKnowledge and Learner objects. More...
def	saveGrid (self, iteration)
	Saves current Grid to the checkpoint with given iteration. More...
def	saveLearnedKnowledge (self, iteration)
	Saves current LearnedKnowldge object to the checkpoint with given iteration. More...
def	saveLearner (self, iteration)
	Saves the current Learner object to the checkpoint with given iteration. More...
def	setGrid (self, grid)
	Setter for the current Grid object. More...
def	setLearnedKnowledge (self, knowledge)
	Setter for the current LearnedKnowledge object. More...
def	setLearner (self, learner)
	Setter for current Learner object. More...

Static Public Attributes
	fold = None
	Fold number if cross-validation is used. More...
	grid = None
	Reference to the Grid object. More...
	interval = None
	Interval, which determines how often checkpoints should be set. More...
	knowledge = None
	Reference to the LearnedKnowledge object. More...
	lastIteration = None
	Number of the last iteration. More...
	learner = None
	Reference to the Learner object. More...
	path = None
	Path to the checkpoint files. More...
	title = None
	Checkpoint title. More...

Detailed Description

Class for handling events for storing and restoring of checkpoints.

Responsible for storing of checkpoints during learning process and restoring of learning from some checkpoint.

Memento Design Pattern

CheckpointController has an ability to save the states of Learner, its Grid and LearnedKnowledge for different iterations of training process. To insure flexibility and extensibility of the system the design pattern Memento with several modifications was used.

Roles

• Originator: Grid, LearnedKnowledge, Learner
• Memento: Grid object itself for Grid, DataVector with alpha values for LearnedKnowledge object, json structure for Learner obejects
• Caretaker: CeckpointController

Why should we use Memento pattern here?

• Simplification of inner structure of classes, since they don't need to organized and store different states by themselves;
• Decoupling of objects of business logic and their representations allows to assure compatibility of between different versions and support of different input/output formats without modification of business classes;
• Client or Caretaker don't have to know about the organization of originator to store/restore checkpoints.

Enhancements
To be able able to use the states after the program has once terminated, we have to make memento objects persistent. For this purpose the Classes GridFormatter, LearnedKnowledgeFormatter and LearnerFormatter are used, which provides the functionality of serialization and desiralization of corresponding objects into file or any other stream, e.g. socket or terminal.

For example, to save the Grid object in file, controller requests its memento object with states and then calls method GridFormatter().serializeToFile(<Grid memento object>, <file name>).

How to restore a checkpoint

Supposed, you have already learned and stored checkpoints and now you have files checkpoint.6.arff.gz, checkpoint.6.grid.gz and checkpoint.6.learner.gz from the 6th iteration stored in your working directory. Now you can

• Load the grid and/or with:
  grid = CheckpointController('checkpoint').laodGrid(6)
knowledge = CheckpointController('checkpoint').laodLearnedKnowledge(6)
  
• or load the whole learner, i.e. to change learning parameters and continue the learning
  learner = CheckpointController('checkpoint').loadAll(6)
  

Constructor & Destructor Documentation

__init__()

def python.controller.CheckpointController.CheckpointController.__init__	(		self,
			title,
			path = None,
			interval = None,
			fold = None
	)

Constructor save checkpoint files will have a name like title.iteration.

[grid | learner | arff].gz

Parameters

title	string title for checkpoints
path	string absolute path to the checkpoint files
interval	integer defines the number of iteration between saved checkpoints, e.g. if interval = 1, only states from 0,5th, 10th, 15th ... iteration will be saved
fold	the folding level, if n-fold cross-validation is used

References python.controller.CheckpointController.CheckpointController.fold, python.controller.CheckpointController.CheckpointController.interval, python.controller.CheckpointController.CheckpointController.path, and python.controller.CheckpointController.CheckpointController.title.

Member Function Documentation

composeName()

def python.controller.CheckpointController.CheckpointController.composeName	(		self,
			iteration = None,
			fold = None
	)

Composes checkpoint file name from path title and iteration number.

Parameters

iteration	integer iteration number
fold	the folding level, if n-fold cross-validation is used

Returns

string composed name

References python.controller.CheckpointController.CheckpointController.fold, python.controller.CheckpointController.CheckpointController.path, and python.controller.CheckpointController.CheckpointController.title.

Referenced by python.controller.CheckpointController.CheckpointController.generateFoldValidationJob(), python.controller.CheckpointController.CheckpointController.loadGrid(), python.controller.CheckpointController.CheckpointController.loadLearnedKnowledge(), python.controller.CheckpointController.CheckpointController.saveGrid(), python.controller.CheckpointController.CheckpointController.saveLearnedKnowledge(), and python.controller.CheckpointController.CheckpointController.saveLearner().

generateFoldValidationJob()

def python.controller.CheckpointController.CheckpointController.generateFoldValidationJob	(		self,
			email = ""
	)

Generates a SGE array job script for concurrent performing of cross-fold validation computations.

The script can be then lunched using <code>qsub -t 1-XXX <scriptname>.sge.job

Parameters

email

String with email-address, the status information from SGE should be sent to

References python.controller.CheckpointController.CheckpointController.composeName(), python.controller.CheckpointController.CheckpointController.fold, sgpp::base::OperationMultipleEval.grid, sgpp::base::OperationFirstMomentModPolyClenshawCurtis.grid, sgpp::base::OperationFirstMomentPoly.grid, sgpp::base::OperationSecondMomentPolyBoundary.grid, sgpp::base::OperationSecondMomentPolyClenshawCurtis.grid, sgpp::base::OperationFirstMomentPolyBoundary.grid, sgpp::base::OperationFirstMomentPolyClenshawCurtis.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, 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.controller.CheckpointController.CheckpointController.knowledge, python.controller.CheckpointController.CheckpointController.learner, python.controller.CheckpointController.CheckpointController.saveGrid(), python.controller.CheckpointController.CheckpointController.saveLearnedKnowledge(), and python.controller.CheckpointController.CheckpointController.title.

handleLearningEvent()

def python.controller.CheckpointController.CheckpointController.handleLearningEvent	(		self,
			subject,
			status
	)

References python.controller.CheckpointController.CheckpointController.interval, python.controller.CheckpointController.CheckpointController.saveAll(), and python.controller.CheckpointController.CheckpointController.setLearner().

loadAll()

def python.controller.CheckpointController.CheckpointController.loadAll	(		self,
			iteration
	)

Loads the Learner object with corresponding Grid and LearnedKnowledge.

Parameters

iteration

Integer iteration number.

Returns

the Learner object.

References python.controller.CheckpointController.CheckpointController.__getCOperatorType(), python.controller.CheckpointController.CheckpointController.__getLearnerEventControllers(), python.controller.CheckpointController.CheckpointController.__getSolverEventControllers(), python.controller.CheckpointController.CheckpointController.__loadLearner(), sgpp::op_factory.createOperationIdentity(), sgpp::op_factory.createOperationLaplace(), sgpp::base::OperationMultipleEval.grid, sgpp::base::OperationFirstMomentPolyBoundary.grid, sgpp::base::OperationFirstMomentPolyClenshawCurtis.grid, sgpp::base::OperationFirstMomentBspline.grid, sgpp::base::OperationFirstMomentModBspline.grid, sgpp::base::OperationFirstMomentBsplineBoundary.grid, sgpp::base::OperationSecondMomentBspline.grid, sgpp::base::OperationSecondMomentBsplineBoundary.grid, sgpp::base::OperationFirstMomentModPoly.grid, sgpp::base::OperationSecondMomentModBspline.grid, sgpp::base::OperationSecondMomentModPoly.grid, sgpp::base::OperationSecondMomentPolyClenshawCurtis.grid, sgpp::base::OperationSecondMomentPolyBoundary.grid, sgpp::base::OperationFirstMomentModPolyClenshawCurtis.grid, sgpp::base::OperationSecondMomentModPolyClenshawCurtis.grid, sgpp::base::OperationSecondMomentPoly.grid, sgpp::base::OperationFirstMomentPoly.grid, sgpp::base::OperationSecondMomentPolyClenshawCurtisBoundary.grid, sgpp::base::OperationFirstMomentPolyClenshawCurtisBoundary.grid, sgpp::base::OperationFirstMomentBsplineClenshawCurtis.grid, sgpp::base::OperationFirstMomentModBsplineClenshawCurtis.grid, sgpp::base::OperationSecondMomentBsplineClenshawCurtis.grid, sgpp::base::OperationSecondMomentModBsplineClenshawCurtis.grid, sgpp::base::OperationHierarchisationFundamentalSpline.grid, sgpp::base::OperationHierarchisationModFundamentalSpline.grid, sgpp::base::OperationArbitraryBoundaryHierarchisation.grid, sgpp::base::HierarchisationFundamentalSpline.grid, sgpp::base::DehierarchisationFundamentalSpline.grid, sgpp::base::HierarchisationModFundamentalSpline.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.controller.CheckpointController.CheckpointController.knowledge, python.controller.CheckpointController.CheckpointController.learner, python.controller.CheckpointController.CheckpointController.loadGrid(), python.controller.CheckpointController.CheckpointController.loadLearnedKnowledge(), python.controller.CheckpointController.CheckpointController.setGrid(), and python.controller.CheckpointController.CheckpointController.setLearnedKnowledge().

loadGrid()

def python.controller.CheckpointController.CheckpointController.loadGrid	(		self,
			iteration
	)

Loads sg.Grid from the checkpoint of given iteration.

Parameters

iteration

integer iteration number

Returns

Grid object

References python.controller.CheckpointController.CheckpointController.composeName().

Referenced by python.controller.CheckpointController.CheckpointController.loadAll().

loadLearnedKnowledge()

def python.controller.CheckpointController.CheckpointController.loadLearnedKnowledge	(		self,
			iteration
	)

Loads knowledge from the checkpoint of given iteration.

Parameters

iteration

integer iteration number

Returns

LearnedKnowledge object

References python.controller.CheckpointController.CheckpointController.composeName().

Referenced by python.controller.CheckpointController.CheckpointController.loadAll().

saveAll()

def python.controller.CheckpointController.CheckpointController.saveAll	(		self,
			iteration
	)

Saves current Grid, LearnedKnowledge and Learner objects.

Parameters

iteration

Integer iteration number.

References python.controller.CheckpointController.CheckpointController.saveGrid(), python.controller.CheckpointController.CheckpointController.saveLearnedKnowledge(), and python.controller.CheckpointController.CheckpointController.saveLearner().

Referenced by python.controller.CheckpointController.CheckpointController.handleLearningEvent().

saveGrid()

def python.controller.CheckpointController.CheckpointController.saveGrid	(		self,
			iteration
	)

Saves current Grid to the checkpoint with given iteration.

Parameters

iteration

integer iteration number

References python.controller.CheckpointController.CheckpointController.composeName(), sgpp::base::OperationMultipleEval.grid, sgpp::base::OperationFirstMomentPoly.grid, sgpp::base::OperationFirstMomentPolyBoundary.grid, sgpp::base::OperationSecondMomentPolyClenshawCurtis.grid, sgpp::base::OperationFirstMomentPolyClenshawCurtis.grid, sgpp::base::OperationSecondMomentPolyBoundary.grid, sgpp::base::OperationSecondMomentPoly.grid, sgpp::base::OperationSecondMomentModPolyClenshawCurtis.grid, sgpp::base::OperationFirstMomentBspline.grid, sgpp::base::OperationFirstMomentBsplineBoundary.grid, sgpp::base::OperationSecondMomentBspline.grid, sgpp::base::OperationFirstMomentModBspline.grid, sgpp::base::OperationSecondMomentBsplineBoundary.grid, sgpp::base::OperationSecondMomentModBspline.grid, sgpp::base::OperationFirstMomentModPoly.grid, sgpp::base::OperationSecondMomentModPoly.grid, sgpp::base::OperationFirstMomentModPolyClenshawCurtis.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, sgpp::base::HierarchisationFundamentalSpline.grid, sgpp::base::DehierarchisationFundamentalSpline.grid, sgpp::base::HierarchisationModFundamentalSpline.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.

Referenced by python.controller.CheckpointController.CheckpointController.generateFoldValidationJob(), and python.controller.CheckpointController.CheckpointController.saveAll().

saveLearnedKnowledge()

def python.controller.CheckpointController.CheckpointController.saveLearnedKnowledge	(		self,
			iteration
	)

Saves current LearnedKnowldge object to the checkpoint with given iteration.

Parameters

iteration

integer iteration number

References python.controller.CheckpointController.CheckpointController.composeName(), and python.controller.CheckpointController.CheckpointController.knowledge.

Referenced by python.controller.CheckpointController.CheckpointController.generateFoldValidationJob(), and python.controller.CheckpointController.CheckpointController.saveAll().

saveLearner()

def python.controller.CheckpointController.CheckpointController.saveLearner	(		self,
			iteration
	)

Saves the current Learner object to the checkpoint with given iteration.

Parameters

iteration

integer iteration number

References python.controller.CheckpointController.CheckpointController.composeName(), python.controller.CheckpointController.CheckpointController.fold, and python.controller.CheckpointController.CheckpointController.learner.

Referenced by python.controller.CheckpointController.CheckpointController.saveAll().

setGrid()

def python.controller.CheckpointController.CheckpointController.setGrid	(		self,
			grid
	)

Setter for the current Grid object.

Parameters

grid	The Grid object.

References sgpp::base::OperationMultipleEval.grid, sgpp::base::OperationFirstMomentBspline.grid, sgpp::base::OperationFirstMomentPolyBoundary.grid, sgpp::base::OperationFirstMomentPolyClenshawCurtis.grid, sgpp::base::OperationFirstMomentBsplineBoundary.grid, sgpp::base::OperationSecondMomentPolyClenshawCurtis.grid, sgpp::base::OperationSecondMomentPolyBoundary.grid, sgpp::base::OperationSecondMomentPoly.grid, sgpp::base::OperationFirstMomentModBspline.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::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, sgpp::base::DehierarchisationFundamentalSpline.grid, sgpp::base::HierarchisationFundamentalSpline.grid, sgpp::base::HierarchisationModFundamentalSpline.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.

Referenced by python.controller.CheckpointController.CheckpointController.loadAll(), and python.controller.CheckpointController.CheckpointController.setLearner().

setLearnedKnowledge()

def python.controller.CheckpointController.CheckpointController.setLearnedKnowledge	(		self,
			knowledge
	)

Setter for the current LearnedKnowledge object.

Parameters

knowledge

LearnedKnowledge object

References python.controller.CheckpointController.CheckpointController.knowledge.

Referenced by python.controller.CheckpointController.CheckpointController.loadAll(), and python.controller.CheckpointController.CheckpointController.setLearner().

setLearner()

def python.controller.CheckpointController.CheckpointController.setLearner	(		self,
			learner
	)

Setter for current Learner object.

Parameters

learner

The Learner object

References python.controller.CheckpointController.CheckpointController.learner, python.controller.CheckpointController.CheckpointController.setGrid(), and python.controller.CheckpointController.CheckpointController.setLearnedKnowledge().

Referenced by python.controller.CheckpointController.CheckpointController.handleLearningEvent().

Member Data Documentation

fold

python.controller.CheckpointController.CheckpointController.fold = None

static

Fold number if cross-validation is used.

Referenced by python.controller.CheckpointController.CheckpointController.__init__(), python.controller.CheckpointController.CheckpointController.composeName(), python.controller.CheckpointController.CheckpointController.generateFoldValidationJob(), and python.controller.CheckpointController.CheckpointController.saveLearner().

grid

python.controller.CheckpointController.CheckpointController.grid = None

static

Reference to the Grid object.

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.controller.CheckpointController.CheckpointController.generateFoldValidationJob(), 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.controller.CheckpointController.CheckpointController.loadAll(), 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.controller.CheckpointController.CheckpointController.saveGrid(), python.controller.CheckpointController.CheckpointController.setGrid(), 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().

interval

python.controller.CheckpointController.CheckpointController.interval = None

static

Interval, which determines how often checkpoints should be set.

Referenced by python.controller.CheckpointController.CheckpointController.__init__(), and python.controller.CheckpointController.CheckpointController.handleLearningEvent().

knowledge

python.controller.CheckpointController.CheckpointController.knowledge = None

static

Reference to the LearnedKnowledge object.

Referenced by python.learner.Learner.Learner.applyData(), python.uq.learner.Learner.Learner.copy(), python.controller.CheckpointController.CheckpointController.generateFoldValidationJob(), 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.controller.CheckpointController.CheckpointController.loadAll(), python.uq.manager.ASGCUQManager.ASGCUQManager.recomputeStats(), python.uq.manager.ASGCUQManager.ASGCUQManager.runNextSamples(), python.controller.CheckpointController.CheckpointController.saveLearnedKnowledge(), python.controller.CheckpointController.CheckpointController.setLearnedKnowledge(), 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().

lastIteration

python.controller.CheckpointController.CheckpointController.lastIteration = None

static

Number of the last iteration.

learner

python.controller.CheckpointController.CheckpointController.learner = None

static

Reference to the Learner object.

Referenced by python.uq.dists.SGDEdist.SGDEdist.cov(), python.controller.CheckpointController.CheckpointController.generateFoldValidationJob(), python.uq.manager.ASGCUQManager.ASGCUQManager.learnDataWithoutTest(), python.uq.manager.ASGCUQManager.ASGCUQManager.learnDataWithTest(), python.controller.CheckpointController.CheckpointController.loadAll(), python.uq.dists.SGDEdist.SGDEdist.marginalize(), python.uq.dists.SGDEdist.SGDEdist.marginalizeToDimX(), python.uq.manager.ASGCUQManager.ASGCUQManager.recomputeStats(), python.controller.CheckpointController.CheckpointController.saveLearner(), and python.controller.CheckpointController.CheckpointController.setLearner().

path

python.controller.CheckpointController.CheckpointController.path = None

static

Path to the checkpoint files.

Referenced by python.controller.CheckpointController.CheckpointController.__init__(), and python.controller.CheckpointController.CheckpointController.composeName().

title

python.controller.CheckpointController.CheckpointController.title = None

static

Checkpoint title.

Referenced by python.controller.CheckpointController.CheckpointController.__init__(), python.controller.CheckpointController.CheckpointController.composeName(), and python.controller.CheckpointController.CheckpointController.generateFoldValidationJob().

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

• datadriven/python/controller/CheckpointController.py