python.classifier Namespace Reference

Functions
def	assembleTrainingVector (dvecs, cvecs, omit)
def	buildTrainingVector (data)
def	buildYVector (data)
def	callback_deprecated (option, opt, value, parser)
def	constructGrid (dim)
def	doApply ()
def	doEval ()
def	doEvalStdin ()
def	doFold ()
def	doFoldf ()
def	doFoldr ()
def	doFolds ()
def	doFoldStratified ()
def	doNormal ()
def	doTest ()
def	evaluateError (classes, alpha, m)
	Subroutine evaluation of error. More...
def	exec_mode (mode)
def	format_optionlist (l)
def	formTxt (te_refine, tr_refine, num_refine, withHeader=True)
	returns txt variable for stats More...
def	formTxtVal (te_refine, tr_refine, val_refine, num_points, withHeader=True)
	returns txt variable for stats with validation set More...
def	getEpochsErrorIncreasing (list)
	returns the number of epochs the error is increasing More...
def	getNumOfPoints (options, grid)
def	openAlphaFile (filename)
def	openFile (filename)
def	performFold (dvec, cvec)
def	performFoldNew (dvec, cvec, ifold)
def	performFoldRegression (dvec, cvec)
def	run (grid, training, classes)
def	testValuesWithCharacteristicNumbers (grid, alpha, test, classes, evalValues)
def	testVector (grid, alpha, test, classes)
def	testVectorFast (grid, alpha, test, classes)
def	testVectorFastMSE (grid, alpha, test, vals)
def	testVectorFastWithCharacteristicNumbers (grid, alpha, test, classes)
def	testVectorValues (grid, alpha, test, classes, evalValues)

Variables
	action
	args
	callback
	choices
	CMode = options.CMode.lower()
	default
	dest
	False
	help
	metavar
dictionary	modes
	None
	options
	parser = OptionParser()
	type

Function Documentation

assembleTrainingVector()

def python.classifier.assembleTrainingVector	(		dvecs,
			cvecs,
			omit
	)

Referenced by python.classifier.performFold(), python.classifier.performFoldNew(), and python.classifier.performFoldRegression().

buildTrainingVector()

def python.classifier.buildTrainingVector

(

data

)

Referenced by python.testcondition.calc_condition(), python.classifier.doApply(), python.classifier.doFoldf(), python.classifier.doNormal(), and python.classifier.doTest().

buildYVector()

def python.classifier.buildYVector

(

data

)

Referenced by python.classifier.doApply(), python.classifier.doFoldf(), python.classifier.doNormal(), and python.classifier.doTest().

callback_deprecated()

def python.classifier.callback_deprecated	(		option,
			opt,
			value,
			parser
	)

constructGrid()

def python.classifier.constructGrid

(

dim

)

References python.tools.readGrid().

Referenced by python.classifier.doApply(), python.classifier.doEval(), python.classifier.doEvalStdin(), python.classifier.doNormal(), python.classifier.doTest(), python.classifier.performFold(), python.classifier.performFoldNew(), and python.classifier.performFoldRegression().

doApply()

def python.classifier.doApply

(

)

References python.classifier.buildTrainingVector(), python.classifier.buildYVector(), python.classifier.constructGrid(), sgpp::op_factory.createOperationEval(), python.classifier.evaluateError(), python.classifier.openAlphaFile(), python.classifier.openFile(), and python.tools.writeDataARFF().

doEval()

def python.classifier.doEval

(

)

References python.classifier.constructGrid(), sgpp::op_factory.createOperationEval(), python.classifier.evaluateError(), python.classifier.openAlphaFile(), python.classifier.openFile(), and python.tools.writeDataARFF().

doEvalStdin()

def python.classifier.doEvalStdin

(

)

References python.classifier.constructGrid(), python.classifier.openAlphaFile(), and python.tools.readNormfile().

doFold()

def python.classifier.doFold

(

)

References python.classifier.openFile(), python.classifier.performFold(), python.classifier.performFoldRegression(), and python.tools.split_n_folds().

doFoldf()

def python.classifier.doFoldf

(

)

References python.classifier.buildTrainingVector(), python.classifier.buildYVector(), python.classifier.openFile(), python.classifier.performFold(), and python.classifier.performFoldRegression().

doFoldr()

def python.classifier.doFoldr

(

)

References python.classifier.openFile(), python.classifier.performFold(), python.classifier.performFoldRegression(), and python.tools.split_n_folds_stratified().

doFolds()

def python.classifier.doFolds

(

)

References python.classifier.openFile(), python.classifier.performFold(), python.classifier.performFoldRegression(), and python.tools.split_n_folds_sequential().

doFoldStratified()

def python.classifier.doFoldStratified

(

)

References python.classifier.openFile(), python.classifier.performFoldNew(), and python.tools.split_n_folds_stratified().

doNormal()

def python.classifier.doNormal

(

)

References python.classifier.buildTrainingVector(), python.classifier.buildYVector(), python.classifier.constructGrid(), python.classifier.openFile(), python.classifier.run(), python.tools.writeAlphaARFF(), python.tools.writeGnuplot(), and python.tools.writeGrid().

doTest()

def python.classifier.doTest

(

)

References python.classifier.buildTrainingVector(), python.classifier.buildYVector(), python.painlesscg.cg_new(), python.classifier.constructGrid(), python.classifier.evaluateError(), python.classifier.formTxt(), python.classifier.getEpochsErrorIncreasing(), python.classifier.getNumOfPoints(), python.classifier.openFile(), python.uq.operations.discretizeProduct.refine(), python.classifier.testVectorFastWithCharacteristicNumbers(), python.tools.writeAlphaARFF(), python.tools.writeCheckpoint(), python.tools.writeGnuplot(), python.tools.writeGrid(), and python.tools.writeStats().

evaluateError()

def python.classifier.evaluateError	(		classes,
			alpha,
			m
	)

Subroutine evaluation of error.

Todo:

remove printing messages from the subroutine and place it into the suited methods

Referenced by python.classifier.doApply(), python.classifier.doEval(), python.classifier.doTest(), and python.classifier.run().

exec_mode()

def python.classifier.exec_mode

(

mode

)

References python.classifier.format_optionlist(), and python.classifier.type.

format_optionlist()

def python.classifier.format_optionlist

(

l

)

References sgpp::combigrid.join(), and python.classifier.type.

Referenced by python.classifier.exec_mode().

formTxt()

def python.classifier.formTxt	(		te_refine,
			tr_refine,
			num_refine,
			withHeader = True
	)

returns txt variable for stats

Referenced by python.classifier.doTest(), python.classifier.performFold(), and python.classifier.performFoldRegression().

formTxtVal()

def python.classifier.formTxtVal	(		te_refine,
			tr_refine,
			val_refine,
			num_points,
			withHeader = True
	)

returns txt variable for stats with validation set

Referenced by python.classifier.performFoldNew().

getEpochsErrorIncreasing()

def python.classifier.getEpochsErrorIncreasing

(

list

)

returns the number of epochs the error is increasing

Parameters

list	List with MSE's from different refinement iterations

Referenced by python.classifier.doTest().

getNumOfPoints()

def python.classifier.getNumOfPoints	(		options,
			grid
	)

Referenced by python.classifier.doTest(), python.classifier.performFold(), python.classifier.performFoldNew(), python.classifier.performFoldRegression(), and python.classifier.run().

openAlphaFile()

def python.classifier.openAlphaFile

(

filename

)

References python.tools.readAlpha().

Referenced by python.classifier.doApply(), python.classifier.doEval(), and python.classifier.doEvalStdin().

openFile()

def python.classifier.openFile

(

filename

)

References python.tools.readData().

Referenced by python.testcondition.calc_condition(), python.classifier.doApply(), python.classifier.doEval(), python.classifier.doFold(), python.classifier.doFoldf(), python.classifier.doFoldr(), python.classifier.doFolds(), python.classifier.doFoldStratified(), python.classifier.doNormal(), and python.classifier.doTest().

performFold()

def python.classifier.performFold	(		dvec,
			cvec
	)

References python.classifier.assembleTrainingVector(), python.painlesscg.cg_new(), python.classifier.constructGrid(), python.classifier.formTxt(), python.classifier.getNumOfPoints(), python.uq.operations.discretizeProduct.refine(), python.classifier.testVectorFast(), python.tools.writeCheckpoint(), and python.tools.writeStats().

Referenced by python.classifier.doFold(), python.classifier.doFoldf(), python.classifier.doFoldr(), and python.classifier.doFolds().

performFoldNew()

def python.classifier.performFoldNew	(		dvec,
			cvec,
			ifold
	)

References python.classifier.assembleTrainingVector(), python.painlesscg.cg_new(), python.classifier.constructGrid(), python.classifier.formTxtVal(), python.classifier.getNumOfPoints(), python.uq.operations.discretizeProduct.refine(), python.tools.split_DataVectors_by_proportion_stratified(), python.classifier.testVectorFast(), python.tools.writeCheckpoint(), and python.tools.writeStats().

Referenced by python.classifier.doFoldStratified().

performFoldRegression()

def python.classifier.performFoldRegression	(		dvec,
			cvec
	)

Perform n-fold cross-validation.
@param dvec contains n DataMatrices for the single folds;
@param cvec contains n DataVectors with function values for the single folds

References python.classifier.assembleTrainingVector(), python.painlesscg.cg_new(), python.classifier.constructGrid(), python.classifier.formTxt(), python.classifier.getNumOfPoints(), python.uq.operations.discretizeProduct.refine(), python.classifier.testVectorFastMSE(), python.tools.writeCheckpoint(), and python.tools.writeStats().

Referenced by python.classifier.doFold(), python.classifier.doFoldf(), python.classifier.doFoldr(), and python.classifier.doFolds().

run()

def python.classifier.run	(		grid,
			training,
			classes
	)

References python.painlesscg.cg_new(), python.classifier.evaluateError(), python.classifier.getNumOfPoints(), python.uq.operations.discretizeProduct.refine(), and python.tools.writeCheckpoint().

Referenced by python.classifier.doNormal(), and python.uq.uq_setting.UQSettingManager.UQSettingManager.sample().

testValuesWithCharacteristicNumbers()

def python.classifier.testValuesWithCharacteristicNumbers	(		grid,
			alpha,
			test,
			classes,
			evalValues
	)

References sgpp::op_factory.createOperationEval().

testVector()

def python.classifier.testVector	(		grid,
			alpha,
			test,
			classes
	)

References sgpp::op_factory.createOperationEval().

testVectorFast()

def python.classifier.testVectorFast	(		grid,
			alpha,
			test,
			classes
	)

References sgpp::op_factory.createOperationTest(), and python.convergence.test().

Referenced by python.classifier.performFold(), and python.classifier.performFoldNew().

testVectorFastMSE()

def python.classifier.testVectorFastMSE	(		grid,
			alpha,
			test,
			vals
	)

References sgpp::op_factory.createOperationTest().

Referenced by python.classifier.performFoldRegression().

testVectorFastWithCharacteristicNumbers()

def python.classifier.testVectorFastWithCharacteristicNumbers	(		grid,
			alpha,
			test,
			classes
	)

References sgpp::op_factory.createOperationTest().

Referenced by python.classifier.doTest().

testVectorValues()

def python.classifier.testVectorValues	(		grid,
			alpha,
			test,
			classes,
			evalValues
	)

Variable Documentation

action

python.classifier.action

args

python.classifier.args

callback

python.classifier.callback

Referenced by sgpp::combigrid::FullGridCallbackEvaluator< V >.getLevelTasks(), sgpp::combigrid::FullGridGridBasedEvaluator< V >.getLevelTasks(), and sgpp::combigrid::AbstractFullGridEvaluator< V >.setMutex().

choices

python.classifier.choices

CMode

python.classifier.CMode = options.CMode.lower()

default

python.classifier.default

dest

python.classifier.dest

False

python.classifier.False

help

python.classifier.help

metavar

python.classifier.metavar

modes

dictionary python.classifier.modes

None

python.classifier.None

Referenced by sgpp::datadriven::SortedDataset.setOrder(), and sgpp::datadriven::SortedDataset.SortedDataset().

options

python.classifier.options

parser

python.classifier.parser = OptionParser()

type

python.classifier.type

Referenced by python.classifier.exec_mode(), and python.classifier.format_optionlist().