python.classifier Namespace Reference

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

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

Function Documentation

assembleTrainingVector()

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

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

buildTrainingVector()

python.classifier.buildTrainingVector

(

data

)

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

buildYVector()

python.classifier.buildYVector

(

data

)

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

callback_deprecated()

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

constructGrid()

python.classifier.constructGrid

(

dim

)

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()

python.classifier.doApply

(

)

References python.classifier.buildTrainingVector(), python.classifier.buildYVector(), python.classifier.constructGrid(), python.classifier.evaluateError(), python.classifier.openAlphaFile(), and python.classifier.openFile().

doEval()

python.classifier.doEval

(

)

References python.classifier.constructGrid(), python.classifier.evaluateError(), python.classifier.openAlphaFile(), and python.classifier.openFile().

doEvalStdin()

python.classifier.doEvalStdin

(

)

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

doFold()

python.classifier.doFold

(

)

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

doFoldf()

python.classifier.doFoldf

(

)

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

doFoldr()

python.classifier.doFoldr

(

)

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

doFolds()

python.classifier.doFolds

(

)

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

doFoldStratified()

python.classifier.doFoldStratified

(

)

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

doNormal()

python.classifier.doNormal

(

)

References python.classifier.buildTrainingVector(), python.classifier.buildYVector(), python.classifier.constructGrid(), python.classifier.openFile(), and python.classifier.run().

doTest()

python.classifier.doTest

(

)

References python.classifier.buildTrainingVector(), python.classifier.buildYVector(), python.classifier.constructGrid(), python.classifier.evaluateError(), python.classifier.formTxt(), python.classifier.getEpochsErrorIncreasing(), python.classifier.getNumOfPoints(), python.classifier.openFile(), and python.classifier.testVectorFastWithCharacteristicNumbers().

evaluateError()

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()

python.classifier.exec_mode

(

mode

)

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

format_optionlist()

python.classifier.format_optionlist

(

l

)

References python.classifier.type.

Referenced by python.classifier.exec_mode().

formTxt()

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()

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()

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()

python.classifier.getNumOfPoints	(		options,
			grid
	)

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

openAlphaFile()

python.classifier.openAlphaFile

(

filename

)

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

openFile()

python.classifier.openFile

(

filename

)

Referenced by 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()

python.classifier.performFold	(		dvec,
			cvec
	)

References python.classifier.assembleTrainingVector(), python.classifier.constructGrid(), python.classifier.formTxt(), python.classifier.getNumOfPoints(), and python.classifier.testVectorFast().

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

performFoldNew()

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

References python.classifier.assembleTrainingVector(), python.classifier.constructGrid(), python.classifier.formTxtVal(), python.classifier.getNumOfPoints(), and python.classifier.testVectorFast().

Referenced by python.classifier.doFoldStratified().

performFoldRegression()

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.classifier.constructGrid(), python.classifier.formTxt(), python.classifier.getNumOfPoints(), and python.classifier.testVectorFastMSE().

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

run()

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

References python.classifier.evaluateError(), and python.classifier.getNumOfPoints().

Referenced by python.classifier.doNormal().

testValuesWithCharacteristicNumbers()

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

testVector()

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

testVectorFast()

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

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

testVectorFastMSE()

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

Referenced by python.classifier.performFoldRegression().

testVectorFastWithCharacteristicNumbers()

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

Referenced by python.classifier.doTest().

testVectorValues()

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

Variable Documentation

action

python.classifier.action

args

python.classifier.args

callback

python.classifier.callback

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

dict python.classifier.modes

None

python.classifier.None

options

python.classifier.options

parser

python.classifier.parser = OptionParser()

type

python.classifier.type

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