Classes
class	Matrix

Functions
def	appendToDict (dict, key, val)

def	checkData (data)

def	gzOpen (filename, mode="r")

def	isARFFFile (filename)

def	makedir (path, verbose=False)

def	normalize (data, border=0.0, filename=None, minvals=None, maxvals=None, verbose=False)

def	normalizeClasses (data, border=0.0, minborder=-sys.maxsize-1, verbose=False)

def	readAlpha (filename)

def	readAlphaARFF (filename)

def	readAlphaTrivial (filename, delim=None)

def	readCheckpoint (filename)

def	readData (filename)

def	readDataARFF (filename)

def	readDataTrivial (filename, delim=None, hasclass=True)

def	readGrid (filename)

def	readGridAlpha (fnamegrid, fnamealpha)

def	readNormfile (filename)

def	split_DataVector_by_proportion (data, proportion)

def	split_DataVectors_by_proportion_stratified (data, classes, proportion)

def	split_n_folds (data, num_partitions, seed=None)

def	split_n_folds_sequential (data, num_partitions)

def	split_n_folds_stratified (data, num_partitions, seed=None)

def	writeAlphaARFF (filename, alpha)

def	writeCheckpoint (filename, grid, alpha, adaption=None, fold=None)

def	writeDataARFF (data, merge=False)

def	writeDataMaple (data, merge)

def	writeDataVectorMaple (data, filename, format="%s", maple_name="X", check=True)

def	writeGnuplot (filename, grid, alpha, resolution, mode="w", data=None, fvals=None)

def	writeGnuplotFctn (filename, dim, fctn, resolution, mode="w")

def	writeGnuplotGrid (filename, grid)

def	writeGrid (filename, grid)

def	writeLockFile (filename, txt, mode="a")

def	writeNormfile (filename, border, minvals, maxvals)

def	writeStats (filename, txt, mode="a")

def	writeStringToFile (s, filename, check=True)

Variables
int	ARFF = 1

dictionary	base_types

dictionary	CModes

int	NOTAFILE = -1

int	SIMPLE = 0

Function Documentation

◆ appendToDict()

def python.tools.appendToDict	(	dict,
		key,
		val
	)

◆ checkData()

def python.tools.checkData ( data )

◆ gzOpen()

def python.tools.gzOpen	(	filename,
		mode = `"r"`
	)

Referenced by python.tools.isARFFFile(), python.tools.readDataARFF(), python.tools.readDataTrivial(), python.tools.readGrid(), python.tools.readNormfile(), python.toolsExtended.readReferenceMatrix(), python.tools.writeAlphaARFF(), python.tools.writeDataARFF(), python.tools.writeGnuplot(), python.tools.writeGnuplotFctn(), python.tools.writeGrid(), python.tools.writeLockFile(), and python.tools.writeStringToFile().

◆ isARFFFile()

def python.tools.isARFFFile ( filename )

References python.tools.gzOpen().

Referenced by python.tools.readAlpha(), and python.tools.readData().

◆ makedir()

def python.tools.makedir	(	path,
		verbose = `False`
	)

◆ normalize()

def python.tools.normalize	(	data,
		border = `0.0`,
		filename = `None`,
		minvals = `None`,
		maxvals = `None`,
		verbose = `False`
	)

References python.tools.writeNormfile().

◆ normalizeClasses()

def python.tools.normalizeClasses	(	data,
		border = `0.0`,
		minborder = `-sys.maxsize-1`,
		verbose = `False`
	)

◆ readAlpha()

def python.tools.readAlpha ( filename )

References python.tools.isARFFFile(), python.tools.readAlphaARFF(), and python.tools.readAlphaTrivial().

Referenced by python.classifier.openAlphaFile(), and python.tools.readGridAlpha().

◆ readAlphaARFF()

def python.tools.readAlphaARFF ( filename )

References python.tools.readDataARFF().

Referenced by python.uq.dists.SGDEdist.SGDEdist.byFiles(), python.tools.readAlpha(), and python.tools.readCheckpoint().

◆ readAlphaTrivial()

def python.tools.readAlphaTrivial	(	filename,
		delim = `None`
	)

References python.tools.readDataTrivial().

Referenced by python.tools.readAlpha().

◆ readCheckpoint()

def python.tools.readCheckpoint ( filename )

References python.tools.readAlphaARFF(), and python.tools.readGrid().

◆ readData()

def python.tools.readData ( filename )

References python.tools.isARFFFile(), python.tools.readDataARFF(), and python.tools.readDataTrivial().

Referenced by python.classifier.openFile().

◆ readDataARFF()

def python.tools.readDataARFF ( filename )

References python.tools.gzOpen().

Referenced by python.toolsExtended.buildCoefficientVectorFromFile(), python.toolsExtended.openFile(), python.tools.readAlphaARFF(), and python.tools.readData().

◆ readDataTrivial()

def python.tools.readDataTrivial	(	filename,
		delim = `None`,
		hasclass = `True`
	)

References python.tools.gzOpen().

Referenced by python.uq.dists.SGDEdist.SGDEdist.byFiles(), python.tools.readAlphaTrivial(), and python.tools.readData().

◆ readGrid()

def python.tools.readGrid ( filename )

References python.tools.gzOpen().

Referenced by python.uq.dists.SGDEdist.SGDEdist.byFiles(), python.classifier.constructGrid(), python.tools.readCheckpoint(), and python.tools.readGridAlpha().

◆ readGridAlpha()

def python.tools.readGridAlpha	(	fnamegrid,
		fnamealpha
	)

References python.tools.readAlpha(), and python.tools.readGrid().

◆ readNormfile()

def python.tools.readNormfile ( filename )

References python.tools.gzOpen(), and sgpp::combigrid.split().

Referenced by python.classifier.doEvalStdin().

◆ split_DataVector_by_proportion()

def python.tools.split_DataVector_by_proportion	(	data,
		proportion
	)

References python.tools.split_DataVectors_by_proportion_stratified().

◆ split_DataVectors_by_proportion_stratified()

def python.tools.split_DataVectors_by_proportion_stratified	(	data,
		classes,
		proportion
	)

Referenced by python.classifier.performFoldNew(), and python.tools.split_DataVector_by_proportion().

◆ split_n_folds()

def python.tools.split_n_folds	(	data,
		num_partitions,
		seed = `None`
	)

Referenced by python.classifier.doFold().

◆ split_n_folds_sequential()

def python.tools.split_n_folds_sequential	(	data,
		num_partitions
	)

Referenced by python.classifier.doFolds().

◆ split_n_folds_stratified()

def python.tools.split_n_folds_stratified	(	data,
		num_partitions,
		seed = `None`
	)

Referenced by python.classifier.doFoldr(), and python.classifier.doFoldStratified().

◆ writeAlphaARFF()

def python.tools.writeAlphaARFF	(	filename,
		alpha
	)

References python.tools.gzOpen().

Referenced by python.classifier.doNormal(), python.classifier.doTest(), python.uq.dists.optimization.estimateDensitySGDE.estimateDensitySGDE(), python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.sampleGrids(), python.tools.writeCheckpoint(), and python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.writeCheckpoints().

◆ writeCheckpoint()

def python.tools.writeCheckpoint	(	filename,
		grid,
		alpha,
		adaption = `None`,
		fold = `None`
	)

References python.tools.writeAlphaARFF(), and python.tools.writeGrid().

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

◆ writeDataARFF()

def python.tools.writeDataARFF	(	data,
		merge = `False`
	)

References python.tools.gzOpen().

Referenced by python.classifier.doApply(), python.classifier.doEval(), python.uq.dists.optimization.estimateDensityDTrees.estimateDensityDTrees(), python.uq.dists.optimization.estimateDensityKDE.estimateDensityKDE(), python.uq.dists.optimization.estimateDensitySGDE.estimateDensitySGDE(), python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.sampleGrids(), python.uq.analysis.mc.MCAnalysis.MCAnalysis.writeMoments(), python.uq.analysis.Analysis.Analysis.writeMoments(), python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.writeSensitivityValues(), python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.writeStats(), and python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.writeSurplusesLevelWise().

◆ writeDataMaple()

def python.tools.writeDataMaple	(	data,
		merge
	)

References sgpp::combigrid.join().

◆ writeDataVectorMaple()

def python.tools.writeDataVectorMaple	(	data,
		filename,
		format = `"%s"`,
		maple_name = `"X"`,
		check = `True`
	)

References sgpp::combigrid.join(), and python.tools.writeStringToFile().

◆ writeGnuplot()

def python.tools.writeGnuplot	(	filename,
		grid,
		alpha,
		resolution,
		mode = `"w"`,
		data = `None`,
		fvals = `None`
	)

References sgpp::op_factory.createOperationEval(), and python.tools.gzOpen().

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

◆ writeGnuplotFctn()

def python.tools.writeGnuplotFctn	(	filename,
		dim,
		fctn,
		resolution,
		mode = `"w"`
	)

References python.tools.gzOpen().

◆ writeGnuplotGrid()

def python.tools.writeGnuplotGrid	(	filename,
		grid
	)

References analyse_erg.file.

◆ writeGrid()

def python.tools.writeGrid	(	filename,
		grid
	)

References python.tools.gzOpen().

Referenced by python.uq.operations.forcePositivity.estimateDensity.EstimateDensityAlgorithm.computeHierarchicalCoefficients(), python.classifier.doNormal(), python.classifier.doTest(), python.tools.writeCheckpoint(), and python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.writeCheckpoints().

◆ writeLockFile()

def python.tools.writeLockFile	(	filename,
		txt,
		mode = `"a"`
	)

References python.tools.gzOpen().

Referenced by python.tools.writeStats().

◆ writeNormfile()

def python.tools.writeNormfile	(	filename,
		border,
		minvals,
		maxvals
	)

References sgpp::combigrid.join(), and python.tools.writeStringToFile().

Referenced by python.tools.normalize().

◆ writeStats()

def python.tools.writeStats	(	filename,
		txt,
		mode = `"a"`
	)

References python.tools.writeLockFile().

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

◆ writeStringToFile()

def python.tools.writeStringToFile	(	s,
		filename,
		check = `True`
	)

References python.tools.gzOpen().

Referenced by python.tools.writeDataVectorMaple(), and python.tools.writeNormfile().

Variable Documentation

◆ ARFF

int python.tools.ARFF = 1

◆ base_types

dictionary python.tools.base_types

Initial value:

 =  {
     #    "linear" : {"base" : SLinearBase, "b" : SGridOperationB, "t" : test_dataset_linear, "laplace" : SGridOperationLaplace},
     #    "modlinear" : {"base" : SLinearModifiedBase, "b" : SGridModOperationB, "t" : test_dataset_modlin},
     #    "poly" : {"base" : "SPolyBase", },
 }

◆ CModes

dictionary python.tools.CModes

Initial value:

 =  {
     "laplace": "Classical Laplacian. See OpLaplaceAdaptive",
     "identity": "Identity matrix, most efficient.",
     "identity_no_level1": "Identity matrix, most efficient. But do not penalize Level 1",
     "anisotropicpenalty": "Preferres quadratical supports. See OperationRegularizationDiagonal.",
     "levelsum": "Sum of the levels, scaled by the gridlevel (usually 2 for adaptive SGs).",
     "isotropicpenalty": "Energy-norm-like SGs. See OperationRegularizationDiagonal.",
     "rowsum": "Sum of the rows of classical Laplacian. See OpLaplaceAdaptive",
     "hkmix": "H^k_mix norm; requires parameter Hk",
     "h0hklaplace": "Pseudo-Laplace with H^k in one, and 'H^0' in the remaining dimensions each; requires paramer Hk"}

◆ NOTAFILE

int python.tools.NOTAFILE = -1

◆ SIMPLE

int python.tools.SIMPLE = 0

Classes

Functions

Variables

Function Documentation

◆ appendToDict()

◆ checkData()

◆ gzOpen()

◆ isARFFFile()

◆ makedir()

◆ normalize()

◆ normalizeClasses()

◆ readAlpha()

◆ readAlphaARFF()

◆ readAlphaTrivial()

◆ readCheckpoint()

◆ readData()

◆ readDataARFF()

◆ readDataTrivial()

◆ readGrid()

◆ readGridAlpha()

◆ readNormfile()

◆ split_DataVector_by_proportion()

◆ split_DataVectors_by_proportion_stratified()

◆ split_n_folds()

◆ split_n_folds_sequential()

◆ split_n_folds_stratified()

◆ writeAlphaARFF()

◆ writeCheckpoint()

◆ writeDataARFF()

◆ writeDataMaple()

◆ writeDataVectorMaple()

◆ writeGnuplot()

◆ writeGnuplotFctn()

◆ writeGnuplotGrid()

◆ writeGrid()

◆ writeLockFile()

◆ writeNormfile()

◆ writeStats()

◆ writeStringToFile()

Variable Documentation

◆ ARFF

◆ base_types

◆ CModes

◆ NOTAFILE

◆ SIMPLE