Trees
Indices
Help
PyML
[
frames
] |
no frames
]
Identifier Index
[
A
B
C
D
E
F
G
H
I
J
K
L
M
N
O
P
Q
R
S
T
U
V
W
X
Y
Z
_
]
S
s
(in
PyML.demo.demo
)
show()
(in
KernelData
)
standardDeviation()
(in
VectorDataSet
)
sample
(in
PyML.datagen
)
show()
(in
DataSet
)
standardizeColumns()
(in
PyML.preproc.preproc
)
sample()
(in
PyML.datagen.sample
)
show()
(in
PairDataSet
)
Standardizer
(in
PyML.preproc
)
save()
(in
Classifier
)
show()
(in
DataSet
)
Standardizer
(in
PyML.preproc.preproc
)
save()
(in
ModelSelector
)
show()
(in
SequenceData
)
standardizeRows()
(in
PyML.preproc.preproc
)
save()
(in
Platt
)
show()
(in
DataSet
)
std()
(in
PySparseDataSet
)
save()
(in
SVM
)
show()
(in
SparseDataSet
)
std()
(in
PyVectorDataSet
)
save()
(in
SVModel
)
show()
(in
DataSet
)
std()
(in
BaseCVectorDataSet
)
save()
(in
BaseVectorDataSet
)
show()
(in
VectorDataSet
)
std()
(in
PyML.preproc.preproc
)
save()
(in
Labels
)
shuffle()
(in
PyML.datagen.sample
)
stratifiedCV()
(in
IteratorClassifier
)
save()
(in
SequenceData
)
SIGMOID
(in
PyML.classifiers.ext.libsvm
)
stratifiedCV()
(in
PyML.evaluators.assess
)
save()
(in
Results
)
significance()
(in
PyML.evaluators.assess
)
StringKernel
(in
PyML.containers.ext.cstringkernel
)
save()
(in
ResultsList
)
significanceThreshold()
(in
Filter
)
StringKernel_swigregister
(in
PyML.containers.ext.cstringkernel
)
saveResultObjects()
(in
PyML.evaluators.assess
)
SimplePairDataSet
(in
PyML.containers.pairData
)
StringVector
(in
PyML.containers.ext.csequencedata
)
scale()
(in
PySparseDataSet
)
sineClass()
(in
PyML.datagen.toydata
)
StringVector
(in
PyML.containers.ext.csparsedataset
)
scale()
(in
PyVectorDataSet
)
sineData()
(in
PyML.datagen.toydata
)
StringVector
(in
PyML.containers.ext.cstringkernel
)
scale()
(in
SparseDataSet
)
singleFeatureSuccRate()
(in
PyML.feature_selection.featsel
)
StringVector
(in
PyML.containers.ext.cvectordataset
)
scale()
(in
SparseFeatureVector
)
size()
(in
DoubleVector
)
StringVector_swigregister
(in
PyML.containers.ext.csequencedata
)
scale()
(in
VectorDataSet
)
size()
(in
IntVector
)
StringVector_swigregister
(in
PyML.containers.ext.csparsedataset
)
scale()
(in
BaseCVectorDataSet
)
size()
(in
DoubleVector
)
StringVector_swigregister
(in
PyML.containers.ext.cstringkernel
)
scan()
(in
CSVParser
)
size()
(in
IntVector
)
StringVector_swigregister
(in
PyML.containers.ext.cvectordataset
)
scan()
(in
Parser
)
size()
(in
DoubleVector
)
succ()
(in
PyML.feature_selection.featsel
)
scan()
(in
SparseParser
)
size()
(in
IntVector
)
successRates()
(in
ClassificationFunctions
)
scatter()
(in
PyML.demo.demo2d
)
size()
(in
DoubleVector
)
superConfmat()
(in
PyML.evaluators.assess
)
scatter()
(in
PyML.evaluators.assess
)
size()
(in
IntVector
)
SVC
(in
PyML.classifiers.svm
)
score()
(in
FeatureScore
)
size()
(in
Aggregate
)
SVM
(in
PyML.classifiers
)
score()
(in
FeatureScorer
)
size()
(in
DataSet
)
svm
(in
PyML.classifiers
)
score()
(in
FeatureSelector
)
size()
(in
DoubleVector
)
SVM
(in
PyML.classifiers.svm
)
scoreFuncs
(in
FeatureScore
)
size()
(in
IntVector
)
svm_node
(in
PyML.classifiers.ext.libsvm
)
select()
(in
FeatureSelector
)
size()
(in
DoubleVector
)
svm_node_swigregister
(in
PyML.classifiers.ext.libsvm
)
selectFeatures()
(in
BackwardSelector
)
size()
(in
FloatVector
)
svm_parameter
(in
PyML.classifiers.ext.libsvm
)
selectFeatures()
(in
FeatureSelector
)
size()
(in
IntVector
)
svm_parameter_swigregister
(in
PyML.classifiers.ext.libsvm
)
selectFeatures()
(in
Filter
)
size()
(in
KernelMatrix
)
svm_problem
(in
PyML.classifiers.ext.libsvm
)
selectFeatures()
(in
MultiplicativeUpdate
)
size()
(in
DataSet
)
svm_problem_swigregister
(in
PyML.classifiers.ext.libsvm
)
selectFeatures()
(in
OneAgainstRestSelect
)
size()
(in
DoubleVector
)
svm_train_one_pyml
(in
PyML.classifiers.ext.libsvm
)
selectFeatures()
(in
RFE
)
size()
(in
FloatVector
)
svm_type
(in
OneClassSVM
)
selectFeatures()
(in
Random
)
size()
(in
IntVector
)
svm_type
(in
SVM
)
sensitivity()
(in
PyML.feature_selection.featsel
)
size()
(in
KernelData
)
svm_type
(in
SVR
)
separableData()
(in
PyML.datagen.toydata
)
size()
(in
DataSet
)
SVModel
(in
PyML.classifiers.ext.csvmodel
)
SequenceData
(in
PyML.containers
)
size()
(in
DoubleVector
)
SVModel
(in
PyML.classifiers.svm
)
SequenceData
(in
PyML.containers.ext.csequencedata
)
size()
(in
IntVector
)
SVModel_swigregister
(in
PyML.classifiers.ext.csvmodel
)
sequenceData
(in
PyML.containers
)
size()
(in
PairDataSet
)
svmParameter
(in
PyML.classifiers.libsvmWrap
)
SequenceData
(in
PyML.containers.sequenceData
)
size()
(in
DataSet
)
SVMselect
SequenceData_swigregister
(in
PyML.containers.ext.csequencedata
)
size()
(in
DoubleVector
)
SVR
(in
PyML.classifiers.svm
)
set_kernel()
(in
WrapperDataSet
)
size()
(in
IntVector
)
swap()
(in
DoubleVector
)
setAdditiveConst()
(in
Polynomial
)
size()
(in
LongVector
)
swap()
(in
IntVector
)
setBias()
(in
SVModel
)
size()
(in
SequenceData
)
swap()
(in
DoubleVector
)
setData()
(in
PyML.demo.demo2d
)
size()
(in
StringVector
)
swap()
(in
IntVector
)
setDegree()
(in
Polynomial
)
size()
(in
DataSet
)
swap()
(in
DoubleVector
)
setFeatureName()
(in
SparseDataSet
)
size()
(in
DoubleVector
)
swap()
(in
IntVector
)
setFeatureName()
(in
VectorDataSet
)
size()
(in
FloatVector
)
swap()
(in
DoubleVector
)
setGamma()
(in
Gaussian
)
size()
(in
IntVector
)
swap()
(in
IntVector
)
setKernel()
(in
DataSet
)
size()
(in
LongVector
)
swap()
(in
DoubleVector
)
setKernel()
(in
DataSet
)
size()
(in
SparseDataSet
)
swap()
(in
IntVector
)
setKernel()
(in
DataSet
)
size()
(in
StringVector
)
swap()
(in
DoubleVector
)
setKernel()
(in
DataSet
)
size()
(in
SparseFeatureVector
)
swap()
(in
FloatVector
)
setKernel()
(in
DataSet
)
size()
(in
DoubleVector
)
swap()
(in
IntVector
)
setKernel()
(in
DataSet
)
size()
(in
IntVector
)
swap()
(in
DoubleVector
)
setMismatchProfile()
(in
SequenceData
)
size()
(in
LongVector
)
swap()
(in
FloatVector
)
setMismatchProfile()
(in
PositionalKmer
)
size()
(in
StringVector
)
swap()
(in
IntVector
)
setNumFeatures()
(in
PySparseDataSet
)
size()
(in
DataSet
)
swap()
(in
DoubleVector
)
setNumFeatures()
(in
PyVectorDataSet
)
size()
(in
DoubleVector
)
swap()
(in
IntVector
)
setNumFolds()
(in
Results
)
size()
(in
IntVector
)
swap()
(in
DoubleVector
)
setTest()
(in
CompositeClassifier
)
size()
(in
LongVector
)
swap()
(in
IntVector
)
setTestingFunc()
(in
BaseDataSet
)
size()
(in
StringVector
)
swap()
(in
LongVector
)
setTrainingFunc()
(in
BaseDataSet
)
size()
(in
VectorDataSet
)
swap()
(in
StringVector
)
setX()
(in
WrapperDataSet
)
skipComments()
(in
Parser
)
swap()
(in
DoubleVector
)
setY()
(in
DataSet
)
skipHeader()
(in
CSVParser
)
swap()
(in
FloatVector
)
setY()
(in
DataSet
)
SparseDataSet
(in
PyML.containers
)
swap()
(in
IntVector
)
setY()
(in
DataSet
)
SparseDataSet
(in
PyML.containers.ext.csparsedataset
)
swap()
(in
LongVector
)
setY()
(in
DataSet
)
SparseDataSet
(in
PyML.containers.vectorDatasets
)
swap()
(in
StringVector
)
setY()
(in
DataSet
)
SparseDataSet_swigregister
(in
PyML.containers.ext.csparsedataset
)
swap()
(in
DoubleVector
)
setY()
(in
DataSet
)
SparseFeatureVector
(in
PyML.containers.ext.csparsefeaturevector
)
swap()
(in
IntVector
)
shiftSize()
(in
PositionalKmer
)
SparseFeatureVector_swigregister
(in
PyML.containers.ext.csparsefeaturevector
)
swap()
(in
LongVector
)
shortAttrList
(in
ClassificationResultsContainer
)
SparseParser
(in
PyML.containers.parsers
)
swap()
(in
StringVector
)
show()
(in
Aggregate
)
specificity()
(in
PyML.feature_selection.featsel
)
swap()
(in
DoubleVector
)
show()
(in
DataSet
)
spectrumData()
(in
PyML.containers.sequenceData
)
swap()
(in
IntVector
)
show()
(in
KernelMatrix
)
splitDataset()
(in
PyML.datagen.sample
)
swap()
(in
LongVector
)
show()
(in
DataSet
)
standardDeviation()
(in
SparseDataSet
)
swap()
(in
StringVector
)
Trees
Indices
Help
PyML
Generated by Epydoc 3.0.1 on Fri May 2 12:39:24 2008
http://epydoc.sourceforge.net