Quick search

Index

A | B | C | D | E | F | G | H | I | K | L | M | N | O | P | R | S | T | U | V | W | X | Z

A

absminDistance() (in module mvpa.clfs.distance)
Absolute() (in module mvpa.misc.transformers)
active (mvpa.base.verbosity.SetLogger attribute)
AdaptiveNormal (class in mvpa.clfs.stats)
AdaptiveNullDist (class in mvpa.clfs.stats)
AdaptiveRDist (class in mvpa.clfs.stats)
add() (mvpa.clfs.transerror.SummaryStatistics method)
(mvpa.misc.cmdline.OptionGroups method)
(mvpa.misc.state.Collection method)
AFNI
aggregateFeatures() (in module mvpa.datasets.miscfx)
alternative build procedure
analyzer (mvpa.measures.base.ProxyClassifierSensitivityAnalyzer attribute)
analyzers (mvpa.measures.base.CombinedFeaturewiseDatasetMeasure attribute)
anova
API reference
applyMapper() (mvpa.datasets.base.Dataset method)
(mvpa.datasets.meta.MetaDataset method)
asDescreteTime() (mvpa.misc.support.Event method)
asstring() (mvpa.clfs.transerror.ConfusionMatrix method)
(mvpa.clfs.transerror.RegressionStatistics method)
(mvpa.clfs.transerror.SummaryStatistics method)
AttributesCollector (class in mvpa.misc.state)
AttributeWithUnique (class in mvpa.misc.state)
AUCErrorFx (class in mvpa.misc.errorfx)
aucs (mvpa.clfs.transerror.ROCCurve attribute)
autoNullDist() (in module mvpa.clfs.stats)

B

backports
BestDetector (class in mvpa.featsel.helpers)
bestindex (mvpa.featsel.helpers.BestDetector attribute)
bias (mvpa.measures.base.StaticDatasetMeasure attribute)
biases (mvpa.clfs.smlr.SMLR attribute)
binary packages, [1]
BinaryClassifier (class in mvpa.clfs.base)
block-averaging
Block-averaging
BLR (class in mvpa.clfs.blr)
BoostedClassifier (class in mvpa.clfs.base)
BoostedClassifierSensitivityAnalyzer (class in mvpa.measures.base)
BoxcarMapper (class in mvpa.mappers.boxcar)
BrainVoyagerRTC (class in mvpa.misc.bv.base)
build instructions
building from source
building on Windows

C

C (mvpa.datasets.base.Dataset attribute)
cartesianDistance() (in module mvpa.clfs.distance)
cdf() (mvpa.clfs.stats.AdaptiveRDist method)
(mvpa.clfs.stats.FixedNullDist method)
(mvpa.clfs.stats.MCNullDist method)
(mvpa.clfs.stats.Nonparametric method)
(mvpa.clfs.stats.NullDist method)
cfg
ChainMapper (class in mvpa.mappers.base)
changelog
ChannelDataset (class in mvpa.datasets.channel)
channelids (mvpa.datasets.channel.ChannelDataset attribute)
channels (mvpa.misc.io.eepbin.EEPBin attribute)
chirpLinear() (in module mvpa.misc.data_generators)
Chunk
chunks
(mvpa.datasets.base.Dataset attribute)
citation
classifier
Classifier (class in mvpa.clfs.base)
classifier error
classifier weights
ClassifierCombiner (class in mvpa.clfs.base)
ClassifierError (class in mvpa.clfs.transerror)
ClassWithCollections (class in mvpa.misc.state)
clean() (mvpa.clfs.stats.MCNullDist method)
clf (mvpa.clfs.base.ProxyClassifier attribute)
(mvpa.clfs.transerror.ClassifierError attribute)
(mvpa.measures.base.Sensitivity attribute)
clfs (mvpa.clfs.base.BoostedClassifier attribute)
coarsenChunks() (in module mvpa.datasets.miscfx)
CollectableAttribute (class in mvpa.misc.state)
Collection (class in mvpa.misc.state)
ColumnData (class in mvpa.misc.io.base)
combined_analyzer (mvpa.measures.base.BoostedClassifierSensitivityAnalyzer attribute)
CombinedClassifier (class in mvpa.clfs.base)
CombinedFeaturewiseDatasetMeasure (class in mvpa.measures.base)
CombinedMapper (class in mvpa.mappers.base)
combiner (mvpa.algorithms.cvtranserror.CrossValidatedTransferError attribute)
(mvpa.clfs.base.CombinedClassifier attribute)
compute() (mvpa.clfs.kernel.Kernel method)
(mvpa.clfs.kernel.KernelConstant method)
(mvpa.clfs.kernel.KernelExponential method)
(mvpa.clfs.kernel.KernelLinear method)
(mvpa.clfs.kernel.KernelMatern_3_2 method)
(mvpa.clfs.kernel.KernelRationalQuadratic method)
(mvpa.clfs.kernel.KernelSquaredExponential method)
(mvpa.clfs.transerror.SummaryStatistics method)
compute_gradient() (mvpa.clfs.kernel.Kernel method)
compute_lml_gradient() (mvpa.clfs.kernel.Kernel method)
(mvpa.clfs.kernel.KernelConstant method)
(mvpa.clfs.kernel.KernelExponential method)
(mvpa.clfs.kernel.KernelLinear method)
(mvpa.clfs.kernel.KernelSquaredExponential method)
compute_lml_gradient_logscale() (mvpa.clfs.kernel.Kernel method)
(mvpa.clfs.kernel.KernelConstant method)
(mvpa.clfs.kernel.KernelExponential method)
(mvpa.clfs.kernel.KernelLinear method)
(mvpa.clfs.kernel.KernelSquaredExponential method)
compute_log_marginal_likelihood() (mvpa.clfs.blr.BLR method)
compute_M_H() (mvpa.measures.irelief.IterativeRelief method)
(mvpa.measures.irelief.IterativeRelief_Devel method)
config file
ConfigManager (class in mvpa.base.config)
configuration
ConfusionBasedError (class in mvpa.clfs.transerror)
ConfusionMatrix (class in mvpa.clfs.transerror)
ConvergenceError (class in mvpa.misc.exceptions)
convertFeatureIds2FeatureMask() (mvpa.datasets.base.Dataset method)
convertFeatureMask2FeatureIds() (mvpa.datasets.base.Dataset method)
convertOutIds2InMask() (mvpa.mappers.mask.MaskMapper method)
convertOutIds2OutMask() (mvpa.mappers.mask.MaskMapper method)
copy() (mvpa.datasets.base.Dataset method)
cross-validation, [1], [2]
CrossValidatedTransferError (class in mvpa.algorithms.cvtranserror)
CustomSplitter (class in mvpa.datasets.splitter)

D

data (mvpa.misc.io.base.DataReader attribute)
data formats
data splitting
DataReader (class in mvpa.misc.io.base)
Dataset
dataset
Dataset (class in mvpa.datasets.base)
dataset attribute
DatasetAttribute (class in mvpa.misc.state)
DatasetError (class in mvpa.misc.exceptions)
DatasetMeasure (class in mvpa.measures.base)
datasetmethod() (in module mvpa.datasets.base)
datasets (mvpa.datasets.meta.MetaDataset attribute)
Debian, [1]
debug, [1]
Decoding
default (mvpa.misc.param.Parameter attribute)
defineFeatureGroups() (mvpa.datasets.base.Dataset method)
DenseArrayMapper (class in mvpa.mappers.array)
descr (mvpa.misc.state.ClassWithCollections attribute)
DescreteMetric (class in mvpa.mappers.metric)
design2labels() (in module mvpa.misc.io.base)
detrending
development
development snapshot
disable() (mvpa.misc.state.StateCollection method)
discardOut() (mvpa.mappers.mask.MaskMapper method)
doubleGammaHRF() (in module mvpa.misc.fx)
dt (mvpa.datasets.channel.ChannelDataset attribute)
(mvpa.misc.io.eepbin.EEPBin attribute)
dumbFeatureBinaryDataset() (in module mvpa.misc.data_generators)
dumbFeatureDataset() (in module mvpa.misc.data_generators)
dump() (mvpa.misc.io.hamster.Hamster method)
durations (mvpa.misc.fsl.base.FslEV3 attribute)

E

EEPBin (class in mvpa.misc.io.eepbin)
EEPDataset (class in mvpa.datasets.eep)
ElementSelector (class in mvpa.featsel.helpers)
elementsize (mvpa.mappers.metric.DescreteMetric attribute)
enable() (mvpa.misc.state.StateCollection method)
(mvpa.misc.state.StateVariable method)
enabled (mvpa.misc.state.StateCollection attribute)
enhancedClassDocString() (in module mvpa.base.dochelpers)
enhancedDocString() (in module mvpa.base.dochelpers)
environment variable
MVPA_DEBUG, [1], [2]
MVPA_DEBUG_METRICS
MVPA_EXAMPLES_INTERACTIVE
MVPA_QUICKTEST
MVPA_SEED
MVPA_SVM_BACKEND
MVPA_TESTS_LABILE, [1]
MVPA_TESTS_QUICK, [1]
MVPA_VERBOSE
MVPA_VERBOSE_OUTPUT
MVPA_WARNINGS_BT
MVPA_WARNINGS_COUNT, [1]
MVPA_WARNINGS_SUPPRESS
Epoch
equalDefault (mvpa.misc.param.Parameter attribute)
error
(mvpa.clfs.transerror.ConfusionMatrix attribute)
(mvpa.clfs.transerror.RegressionStatistics attribute)
(mvpa.clfs.transerror.SummaryStatistics attribute)
errorfx (mvpa.clfs.transerror.TransferError attribute)
Event (class in mvpa.misc.support)
EventDataset (class in mvpa.datasets.event)
example
Example
example fMRI dataset
examples
exists() (in module mvpa.base.externals)
extend_args() (in module mvpa.clfs.libsmlrc.ctypes_helper)

F

F-score
Feature
feature, [1]
feature selection, [1], [2], [3]
feature_ids
(mvpa.measures.base.Sensitivity attribute)
feature_selection (mvpa.clfs.base.FeatureSelectionClassifier attribute)
feature_selections (mvpa.featsel.base.FeatureSelectionPipeline attribute)
FeatureAttribute (class in mvpa.misc.state)
FeatureSelection
(class in mvpa.featsel.base)
FeatureSelectionClassifier
(class in mvpa.clfs.base)
FeatureSelectionPipeline (class in mvpa.featsel.base)
FeaturewiseDatasetMeasure (class in mvpa.measures.base)
Fedora
felements (mvpa.featsel.helpers.FractionTailSelector attribute)
filter_coord (mvpa.mappers.metric.DescreteMetric attribute)
FirstAxisMean() (in module mvpa.misc.transformers)
fit (mvpa.clfs.stats.Nonparametric attribute)
fit() (mvpa.clfs.stats.AdaptiveNullDist method)
(mvpa.clfs.stats.FixedNullDist method)
(mvpa.clfs.stats.MCNullDist method)
(mvpa.clfs.stats.NullDist method)
FixedErrorThresholdStopCrit (class in mvpa.featsel.helpers)
FixedNElementTailSelector (class in mvpa.featsel.helpers)
FixedNullDist (class in mvpa.clfs.stats)
forward mapping
forward() (mvpa.mappers.base.ChainMapper method)
(mvpa.mappers.base.CombinedMapper method)
(mvpa.mappers.base.Mapper method)
(mvpa.mappers.base.ProjectionMapper method)
(mvpa.mappers.boxcar.BoxcarMapper method)
(mvpa.mappers.mask.MaskMapper method)
(mvpa.mappers.samplegroup.SampleGroupMapper method)
FractionTailSelector (class in mvpa.featsel.helpers)
free software
FSL, [1]
FslEV3 (class in mvpa.misc.fsl.base)

G

gaussian process regression
get() (mvpa.base.config.ConfigManager method)
(mvpa.misc.state.Collection method)
get_argtypes() (in module mvpa.clfs.libsmlrc.ctypes_helper)
getAsDType() (mvpa.base.config.ConfigManager method)
getboolean() (mvpa.base.config.ConfigManager method)
getBreakPoints() (in module mvpa.misc.support)
getData() (mvpa.misc.io.base.DataReader method)
getEV() (mvpa.misc.fsl.base.FslEV3 method)
getInId() (mvpa.mappers.base.Mapper method)
(mvpa.mappers.mask.MaskMapper method)
getInIds() (mvpa.mappers.mask.MaskMapper method)
getInSize() (mvpa.mappers.base.ChainMapper method)
(mvpa.mappers.base.CombinedMapper method)
(mvpa.mappers.base.Mapper method)
(mvpa.mappers.base.ProjectionMapper method)
(mvpa.mappers.boxcar.BoxcarMapper method)
(mvpa.mappers.mask.MaskMapper method)
(mvpa.mappers.samplegroup.SampleGroupMapper method)
getLabels_map() (mvpa.clfs.transerror.ConfusionMatrix method)
getLabelsMap() (mvpa.datasets.base.Dataset method)
getMajorityVote() (mvpa.clfs.knn.kNN method)
getMask() (mvpa.mappers.mask.MaskMapper method)
getMetric() (mvpa.mappers.base.Mapper method)
getMVPattern() (in module mvpa.misc.data_generators)
getNColumns() (mvpa.misc.io.base.ColumnData method)
getNeighbor() (mvpa.mappers.base.ChainMapper method)
(mvpa.mappers.base.CombinedMapper method)
(mvpa.mappers.base.Mapper method)
(mvpa.mappers.metric.Metric method)
getNeighborIn() (mvpa.mappers.base.Mapper method)
getNeighbors() (mvpa.mappers.base.Mapper method)
(mvpa.mappers.metric.DescreteMetric method)
(mvpa.mappers.metric.Metric method)
getNEVs() (mvpa.misc.fsl.base.FslEV3 method)
getNFeatures() (mvpa.datasets.base.Dataset method)
(mvpa.datasets.meta.MetaDataset method)
getNRows() (mvpa.misc.io.base.ColumnData method)
getNSamples() (mvpa.datasets.base.Dataset method)
(mvpa.datasets.meta.MetaDataset method)
(mvpa.misc.io.base.SampleAttributes method)
getOutId() (mvpa.mappers.mask.MaskMapper method)
getOutSize() (mvpa.mappers.base.ChainMapper method)
(mvpa.mappers.base.CombinedMapper method)
(mvpa.mappers.base.Mapper method)
(mvpa.mappers.base.ProjectionMapper method)
(mvpa.mappers.boxcar.BoxcarMapper method)
(mvpa.mappers.mask.MaskMapper method)
(mvpa.mappers.samplegroup.SampleGroupMapper method)
getPropsAsDict() (mvpa.misc.io.base.DataReader method)
getRandomSamples() (mvpa.datasets.base.Dataset method)
(mvpa.datasets.meta.MetaDataset method)
getSamplesPerChunkLabel() (in module mvpa.datasets.miscfx)
getSensitivityAnalyzer() (mvpa.clfs.base.BoostedClassifier method)
(mvpa.clfs.base.Classifier method)
(mvpa.clfs.base.FeatureSelectionClassifier method)
(mvpa.clfs.base.MappedClassifier method)
(mvpa.clfs.base.ProxyClassifier method)
(mvpa.clfs.base.SplitClassifier method)
(mvpa.clfs.smlr.SMLR method)
getUniqueLengthNCombinations() (in module mvpa.misc.support)
getvalue() (mvpa.misc.state.Collection method)
getWeightedVote() (mvpa.clfs.knn.kNN method)
Git, [1]
Git repository
GPR
gradient() (mvpa.clfs.kernel.KernelExponential method)
(mvpa.clfs.kernel.KernelMatern_3_2 method)
(mvpa.clfs.kernel.KernelRationalQuadratic method)
GrandMean() (in module mvpa.misc.transformers)
group_kwargs() (in module mvpa.misc.args)

H

HalfSplitter (class in mvpa.datasets.splitter)
Hamster (class in mvpa.misc.io.hamster)
handleDocString() (in module mvpa.base.dochelpers)
handlers (mvpa.base.verbosity.Logger attribute)
harvest_attribs (mvpa.misc.state.Harvestable attribute)
Harvestable (class in mvpa.misc.state)
Harvester (class in mvpa.misc.support)
HarvesterCall (class in mvpa.misc.support)
hasunique (mvpa.misc.state.AttributeWithUnique attribute)
history
hlcuster

I

I (mvpa.datasets.base.Dataset attribute)
Identity() (in module mvpa.misc.transformers)
idhash (mvpa.datasets.base.Dataset attribute)
idhash() (in module mvpa.misc.support)
idsbychunks() (mvpa.datasets.base.Dataset method)
idsbylabels() (mvpa.datasets.base.Dataset method)
idsonboundaries() (mvpa.datasets.base.Dataset method)
IFS
(class in mvpa.featsel.ifs)
incremental feature search
indent (mvpa.base.verbosity.LevelLogger attribute)
indentDoc() (in module mvpa.misc.support)
index() (mvpa.datasets.base.Dataset method)
installation
intensities (mvpa.misc.fsl.base.FslEV3 attribute)
internals (mvpa.clfs.warehouse.Warehouse attribute)
InvalidHyperparameterError (class in mvpa.misc.exceptions)
invariant features
IPython
isActive() (mvpa.misc.state.StateCollection method)
isDefault (mvpa.misc.param.Parameter attribute)
isEnabled (mvpa.misc.state.StateVariable attribute)
isEnabled() (mvpa.misc.state.StateCollection method)
isInVolume() (in module mvpa.misc.support)
isKnown() (mvpa.misc.state.Collection method)
isSet (mvpa.misc.state.CollectableAttribute attribute)
isSet() (mvpa.misc.state.Collection method)
isSorted() (in module mvpa.misc.support)
isTrained() (mvpa.clfs.base.Classifier method)
isValidInId() (mvpa.mappers.base.Mapper method)
(mvpa.mappers.boxcar.BoxcarMapper method)
(mvpa.mappers.mask.MaskMapper method)
isValidOutId() (mvpa.mappers.base.Mapper method)
(mvpa.mappers.boxcar.BoxcarMapper method)
items (mvpa.clfs.warehouse.Warehouse attribute)
(mvpa.misc.state.Collection attribute)
IterativeRelief (class in mvpa.measures.irelief)
IterativeRelief_Devel (class in mvpa.measures.irelief)
IterativeReliefOnline (class in mvpa.measures.irelief)
IterativeReliefOnline_Devel (class in mvpa.measures.irelief)

K

k() (mvpa.measures.irelief.IterativeRelief method)
k-nearest-neighbour
Kernel (class in mvpa.clfs.kernel)
KernelConstant (class in mvpa.clfs.kernel)
KernelExponential (class in mvpa.clfs.kernel)
KernelLinear (class in mvpa.clfs.kernel)
KernelMatern_3_2 (class in mvpa.clfs.kernel)
KernelMatern_5_2 (class in mvpa.clfs.kernel)
KernelParameter (class in mvpa.misc.param)
KernelRationalQuadratic (class in mvpa.clfs.kernel)
KernelSquaredExponential (class in mvpa.clfs.kernel)
kNN
(class in mvpa.clfs.knn)

L

L (mvpa.datasets.base.Dataset attribute)
L1Normed() (in module mvpa.misc.transformers)
L2Normed() (in module mvpa.misc.transformers)
Label
labels
(mvpa.clfs.transerror.ClassifierError attribute)
(mvpa.clfs.transerror.ConfusionMatrix attribute)
(mvpa.datasets.base.Dataset attribute)
labels2chunks() (in module mvpa.misc.io.base)
labels_map (mvpa.clfs.transerror.ConfusionMatrix attribute)
(mvpa.datasets.base.Dataset attribute)
LARS
least angle regression
leastSqFit() (in module mvpa.misc.fx)
leave-one-out
level (mvpa.base.verbosity.LevelLogger attribute)
LevelLogger (class in mvpa.base.verbosity)
lfprev (mvpa.base.verbosity.Logger attribute)
LIBSVM, [1]
license
linear_awgn() (in module mvpa.misc.data_generators)
LinearSVMWeights (class in mvpa.clfs.libsvmc.sens)
(class in mvpa.clfs.libsvmc.svm)
listing (mvpa.misc.state.Collection attribute)
listing() (mvpa.clfs.warehouse.Warehouse method)
locations() (mvpa.misc.io.base.SensorLocations method)
Logger (class in mvpa.base.verbosity)
logistic regression

M

MacOS X, [1], [2]
mahalanobisDistance() (in module mvpa.clfs.distance)
makeFlobs() (in module mvpa.misc.fsl.flobs)
manhattenDistance() (in module mvpa.clfs.distance)
mapForward() (mvpa.datasets.mapped.MappedDataset method)
MapOverlap (class in mvpa.misc.support)
MappedClassifier
(class in mvpa.clfs.base)
MappedClassifierSensitivityAnalyzer (class in mvpa.measures.base)
MappedDataset (class in mvpa.datasets.mapped)
mapper, [1]
Mapper (class in mvpa.mappers.base)
mapper (mvpa.clfs.base.MappedClassifier attribute)
(mvpa.datasets.mapped.MappedDataset attribute)
mapReverse() (mvpa.datasets.mapped.MappedDataset method)
(mvpa.datasets.meta.MetaDataset method)
mapSelfReverse() (mvpa.datasets.mapped.MappedDataset method)
mask (mvpa.mappers.mask.MaskMapper attribute)
maskclf (mvpa.clfs.base.FeatureSelectionClassifier attribute)
MaskedDataset
(class in mvpa.datasets.masked)
MaskMapper (class in mvpa.mappers.mask)
Matlab
matplotlib
matrices (mvpa.clfs.transerror.ConfusionMatrix attribute)
matrix (mvpa.clfs.transerror.ConfusionMatrix attribute)
maxcount (mvpa.base.WarningLog attribute)
MaximalVote (class in mvpa.clfs.base)
McFlirtParams (class in mvpa.misc.fsl.base)
MCNullDist (class in mvpa.clfs.stats)
MeanMismatchErrorFx (class in mvpa.misc.errorfx)
meanPowerFx() (in module mvpa.misc.errorfx)
MeanPrediction (class in mvpa.clfs.base)
measure, [1], [2], [3], [4]
meta measures
MetaDataset (class in mvpa.datasets.meta)
Metric (class in mvpa.mappers.metric)
metric (mvpa.mappers.base.Mapper attribute)
misc
mode (mvpa.featsel.helpers.ElementSelector attribute)
model (mvpa.clfs.libsvmc.svm.SVM attribute)
monte-carlo
motion correction
MulticlassClassifier (class in mvpa.clfs.base)
multipleChunks() (in module mvpa.misc.data_generators)
MultiStopCrit (class in mvpa.featsel.helpers)
MVPA, [1]
mvpa (module)
MVPA toolbox for Matlab, [1]
mvpa.algorithms (module)
mvpa.algorithms.cvtranserror (module)
mvpa.base (module)
mvpa.base.config (module)
mvpa.base.dochelpers (module)
mvpa.base.externals (module)
mvpa.base.verbosity (module)
mvpa.clfs (module)
mvpa.clfs.base (module)
mvpa.clfs.blr (module)
mvpa.clfs.distance (module)
mvpa.clfs.kernel (module)
mvpa.clfs.knn (module)
mvpa.clfs.libsmlrc (module)
mvpa.clfs.libsmlrc.ctypes_helper (module)
mvpa.clfs.libsvmc (module)
mvpa.clfs.libsvmc.sens (module)
mvpa.clfs.libsvmc.svm (module)
mvpa.clfs.plr (module)
mvpa.clfs.smlr (module)
mvpa.clfs.stats (module)
mvpa.clfs.svm (module)
mvpa.clfs.transerror (module)
mvpa.clfs.warehouse (module)
mvpa.datasets (module)
mvpa.datasets.base (module)
mvpa.datasets.channel (module)
mvpa.datasets.eep (module)
mvpa.datasets.event (module)
mvpa.datasets.mapped (module)
mvpa.datasets.masked (module)
mvpa.datasets.meta (module)
mvpa.datasets.miscfx (module)
mvpa.datasets.splitter (module)
mvpa.featsel (module)
mvpa.featsel.base (module)
mvpa.featsel.helpers (module)
mvpa.featsel.ifs (module)
mvpa.featsel.rfe (module)
mvpa.mappers (module)
mvpa.mappers.array (module)
mvpa.mappers.base (module)
mvpa.mappers.boxcar (module)
mvpa.mappers.mask (module)
mvpa.mappers.metric (module)
mvpa.mappers.samplegroup (module)
mvpa.mappers.svd (module)
mvpa.measures (module)
mvpa.measures.anova (module)
mvpa.measures.base (module)
mvpa.measures.irelief (module)
mvpa.measures.noiseperturbation (module)
mvpa.measures.pls (module)
mvpa.measures.searchlight (module)
mvpa.measures.splitmeasure (module)
mvpa.misc (module)
mvpa.misc.args (module)
mvpa.misc.bv (module)
mvpa.misc.bv.base (module)
mvpa.misc.cmdline (module)
mvpa.misc.data_generators (module)
mvpa.misc.errorfx (module)
mvpa.misc.exceptions (module)
mvpa.misc.fsl (module)
mvpa.misc.fsl.base (module)
mvpa.misc.fsl.flobs (module)
mvpa.misc.fx (module)
mvpa.misc.io (module)
mvpa.misc.io.base (module)
mvpa.misc.io.eepbin (module)
mvpa.misc.io.hamster (module)
mvpa.misc.io.meg (module)
mvpa.misc.param (module)
mvpa.misc.state (module)
mvpa.misc.support (module)
mvpa.misc.transformers (module)
mvpa.misc.vproperty (module)
mvpa.suite (module)
MVPA_DEBUG, [1], [2]
MVPA_DEBUG_METRICS
MVPA_EXAMPLES_INTERACTIVE
MVPA_QUICKTEST
MVPA_SEED
MVPA_SVM_BACKEND
MVPA_TESTS_LABILE, [1]
MVPA_TESTS_QUICK, [1]
MVPA_VERBOSE
MVPA_VERBOSE_OUTPUT
MVPA_WARNINGS_BT
MVPA_WARNINGS_COUNT, [1]
MVPA_WARNINGS_SUPPRESS

N

name (mvpa.misc.state.CollectableAttribute attribute)
(mvpa.misc.state.Collection attribute)
names (mvpa.misc.state.Collection attribute)
nanmean() (in module mvpa.clfs.stats)
NBackHistoryStopCrit (class in mvpa.featsel.helpers)
nchannels (mvpa.misc.io.eepbin.EEPBin attribute)
ncolumns (mvpa.misc.io.base.ColumnData attribute)
nelements (mvpa.featsel.helpers.FixedNElementTailSelector attribute)
nevs (mvpa.misc.fsl.base.FslEV3 attribute)
nfeatures (mvpa.datasets.base.Dataset attribute)
(mvpa.datasets.meta.MetaDataset attribute)
(mvpa.mappers.base.Mapper attribute)
NFoldSplitter (class in mvpa.datasets.splitter)
NIfTI, [1]
noise perturbation
NoisePerturbationSensitivity (class in mvpa.measures.noiseperturbation)
noisy_2d_fx() (in module mvpa.misc.data_generators)
NoneSplitter (class in mvpa.datasets.splitter)
Nonparametric (class in mvpa.clfs.stats)
normalFeatureDataset() (in module mvpa.misc.data_generators)
normalFeatureDataset__() (in module mvpa.misc.data_generators)
nrows (mvpa.misc.io.base.ColumnData attribute)
nsamples (mvpa.datasets.base.Dataset attribute)
(mvpa.datasets.meta.MetaDataset attribute)
(mvpa.misc.io.base.SampleAttributes attribute)
(mvpa.misc.io.eepbin.EEPBin attribute)
NStepsStopCrit (class in mvpa.featsel.helpers)
ntimepoints (mvpa.misc.io.eepbin.EEPBin attribute)
null_dist (mvpa.clfs.transerror.TransferError attribute)
(mvpa.measures.base.DatasetMeasure attribute)
NullDist (class in mvpa.clfs.stats)
NumPy

O

O (mvpa.datasets.mapped.MappedDataset attribute)
OddEvenSplitter (class in mvpa.datasets.splitter)
OnceLogger (class in mvpa.base.verbosity)
OneMinus() (in module mvpa.misc.transformers)
OneWayAnova (class in mvpa.measures.anova)
onsets (mvpa.misc.fsl.base.FslEV3 attribute)
OpenSUSE, [1]
optimization
OptionGroups (class in mvpa.misc.cmdline)
Options (class in mvpa.misc.cmdline)
origids (mvpa.datasets.base.Dataset attribute)
OverAxis (class in mvpa.misc.transformers)
owner (mvpa.misc.state.Collection attribute)

P

p() (mvpa.clfs.stats.NullDist method)
Parameter (class in mvpa.misc.param)
ParameterCollection (class in mvpa.misc.state)
penalized logistic regression
percentCorrect (mvpa.clfs.transerror.ConfusionMatrix attribute)
permutation
permuteLabels() (mvpa.datasets.base.Dataset method)
(mvpa.datasets.meta.MetaDataset method)
plot() (mvpa.clfs.transerror.ConfusionMatrix method)
(mvpa.clfs.transerror.ROCCurve method)
(mvpa.misc.fsl.base.McFlirtParams method)
plotting example
PLR (class in mvpa.clfs.plr)
PLS (class in mvpa.measures.pls)
pnorm_w_python() (in module mvpa.clfs.distance)
predict() (mvpa.clfs.base.Classifier method)
PredictionsCombiner (class in mvpa.clfs.base)
printsetid (mvpa.base.verbosity.SetLogger attribute)
process_args() (in module mvpa.clfs.libsmlrc.ctypes_helper)
processing object, [1]
Processing object
progress tracking
proj (mvpa.mappers.base.ProjectionMapper attribute)
ProjectionMapper (class in mvpa.mappers.base)
props (mvpa.misc.io.base.DataReader attribute)
ProxyClassifier (class in mvpa.clfs.base)
ProxyClassifierSensitivityAnalyzer (class in mvpa.measures.base)
pureMultivariateSignal() (in module mvpa.misc.data_generators)
PyMatlab
PyMVPA poster
PyNIfTI

R

R
random number generation
RangeElementSelector (class in mvpa.featsel.helpers)
RankOrder() (in module mvpa.misc.transformers)
rebuildSamples() (mvpa.datasets.meta.MetaDataset method)
recommended software
recon (mvpa.mappers.base.ProjectionMapper attribute)
recursive feature selection
redirecting output
references
register() (mvpa.base.verbosity.SetLogger method)
registered (mvpa.base.verbosity.SetLogger attribute)
RegressionStatistics (class in mvpa.clfs.transerror)
RelativeRMSErrorFx (class in mvpa.misc.errorfx)
releases
reload() (mvpa.base.config.ConfigManager method)
remove() (mvpa.misc.state.Collection method)
removeInvariantFeatures() (in module mvpa.datasets.miscfx)
repredict() (mvpa.clfs.base.Classifier method)
required software
reset() (mvpa.clfs.kernel.Kernel method)
(mvpa.clfs.kernel.KernelLinear method)
(mvpa.clfs.kernel.KernelSquaredExponential method)
(mvpa.clfs.transerror.SummaryStatistics method)
(mvpa.misc.state.AttributeWithUnique method)
(mvpa.misc.state.ClassWithCollections method)
(mvpa.misc.state.CollectableAttribute method)
(mvpa.misc.state.Collection method)
(mvpa.misc.state.StateVariable method)
resetvalue() (mvpa.misc.param.Parameter method)
(mvpa.misc.state.ParameterCollection method)
retrain() (mvpa.clfs.base.Classifier method)
reuseAbsolutePath() (in module mvpa.misc.support)
reverse mapping
reverse() (mvpa.mappers.base.ChainMapper method)
(mvpa.mappers.base.CombinedMapper method)
(mvpa.mappers.base.Mapper method)
(mvpa.mappers.base.ProjectionMapper method)
(mvpa.mappers.boxcar.BoxcarMapper method)
(mvpa.mappers.mask.MaskMapper method)
(mvpa.mappers.samplegroup.SampleGroupMapper method)
ReverseRankOrder() (in module mvpa.misc.transformers)
review
RFE
(class in mvpa.featsel.rfe)
RFEHistory2maps() (in module mvpa.misc.support)
ridge regression
RMSErrorFx (class in mvpa.misc.errorfx)
RNG
ROCCurve (class in mvpa.clfs.transerror)
ROCs (mvpa.clfs.transerror.ROCCurve attribute)
rootMeanPowerFx() (in module mvpa.misc.errorfx)
RPy, [1]
rstUnderline() (in module mvpa.base.dochelpers)

S

S (mvpa.datasets.base.Dataset attribute)
sample, [1]
Sample
sample attribute
SampleAttribute (class in mvpa.misc.state)
SampleAttributes (class in mvpa.misc.io.base)
SampleAttributesCollection (class in mvpa.misc.state)
SampleGroupMapper (class in mvpa.mappers.samplegroup)
samples (mvpa.datasets.base.Dataset attribute)
samples_original (mvpa.datasets.mapped.MappedDataset attribute)
samplesperchunk (mvpa.datasets.base.Dataset attribute)
samplesperlabel (mvpa.datasets.base.Dataset attribute)
samplingrate (mvpa.datasets.channel.ChannelDataset attribute)
save() (mvpa.base.config.ConfigManager method)
SciPy
searchlight, [1]
Searchlight (class in mvpa.measures.searchlight)
SecondAxisMaxOfAbs() (in module mvpa.misc.transformers)
SecondAxisMean() (in module mvpa.misc.transformers)
SecondAxisSumOfAbs() (in module mvpa.misc.transformers)
seed() (in module mvpa)
select() (mvpa.datasets.base.Dataset method)
selectFeatures() (mvpa.datasets.base.Dataset method)
(mvpa.datasets.mapped.MappedDataset method)
(mvpa.datasets.meta.MetaDataset method)
selectFeaturesByMask() (mvpa.datasets.masked.MaskedDataset method)
selectOut() (mvpa.mappers.base.ChainMapper method)
(mvpa.mappers.base.CombinedMapper method)
(mvpa.mappers.base.Mapper method)
(mvpa.mappers.base.ProjectionMapper method)
(mvpa.mappers.boxcar.BoxcarMapper method)
(mvpa.mappers.mask.MaskMapper method)
(mvpa.mappers.samplegroup.SampleGroupMapper method)
(mvpa.mappers.svd.SVDMapper method)
selectSamples() (mvpa.datasets.base.Dataset method)
(mvpa.datasets.meta.MetaDataset method)
(mvpa.misc.io.base.ColumnData method)
Sensitivity
sensitivity, [1], [2], [3]
Sensitivity (class in mvpa.measures.base)
Sensitivity Map
sensitivity_analyzer (mvpa.featsel.base.SensitivityBasedFeatureSelection attribute)
SensitivityBasedFeatureSelection (class in mvpa.featsel.base)
SensorLocations (class in mvpa.misc.io.base)
set_hyperparameters() (mvpa.clfs.blr.BLR method)
(mvpa.clfs.kernel.KernelConstant method)
(mvpa.clfs.kernel.KernelExponential method)
(mvpa.clfs.kernel.KernelLinear method)
(mvpa.clfs.kernel.KernelMatern_3_2 method)
(mvpa.clfs.kernel.KernelRationalQuadratic method)
(mvpa.clfs.kernel.KernelSquaredExponential method)
setActiveFromString() (mvpa.base.verbosity.SetLogger method)
setDefault() (mvpa.misc.param.Parameter method)
setLabels_map() (mvpa.clfs.transerror.ConfusionMatrix method)
setLabelsMap() (mvpa.datasets.base.Dataset method)
SetLogger (class in mvpa.base.verbosity)
setMetric() (mvpa.mappers.base.Mapper method)
setNPerLabel() (mvpa.datasets.splitter.Splitter method)
sets (mvpa.clfs.transerror.SummaryStatistics attribute)
setSamplesDType() (mvpa.datasets.base.Dataset method)
(mvpa.datasets.meta.MetaDataset method)
setTestDataset() (mvpa.clfs.base.FeatureSelectionClassifier method)
settings
setvalue() (mvpa.misc.state.Collection method)
Shogun
singleGammaHRF() (in module mvpa.misc.fx)
sinModulated() (in module mvpa.misc.data_generators)
SMLR, [1]
(class in mvpa.clfs.smlr)
SMLRWeights (class in mvpa.clfs.smlr)
source package
sparse multinomial logistic regression
Spatial Discriminanckonq e Map (SDM)
split_kwargs() (in module mvpa.misc.args)
splitcfg() (mvpa.datasets.splitter.Splitter method)
SplitClassifier
(class in mvpa.clfs.base)
splitDataset() (mvpa.datasets.splitter.Splitter method)
SplitFeaturewiseMeasure (class in mvpa.measures.splitmeasure)
splitter
Splitter (class in mvpa.datasets.splitter)
splitter (mvpa.algorithms.cvtranserror.CrossValidatedTransferError attribute)
(mvpa.clfs.base.SplitClassifier attribute)
splitting measures
squared_euclidean_distance() (in module mvpa.clfs.distance)
StateCollection (class in mvpa.misc.state)
states
StateVariable (class in mvpa.misc.state)
StaticDatasetMeasure (class in mvpa.measures.base)
Statistical Discrimination Map (SDM)
statistical testing
stats (mvpa.clfs.transerror.SummaryStatistics attribute)
steps (mvpa.featsel.helpers.NBackHistoryStopCrit attribute)
(mvpa.featsel.helpers.NStepsStopCrit attribute)
stepwise_regression() (in module mvpa.clfs.libsmlrc)
StoppingCriterion (class in mvpa.featsel.helpers)
strategy (mvpa.datasets.splitter.Splitter attribute)
substractBaseline() (mvpa.datasets.channel.ChannelDataset method)
suggested software
summaries (mvpa.clfs.transerror.SummaryStatistics attribute)
summary() (mvpa.clfs.base.Classifier method)
(mvpa.clfs.base.CombinedClassifier method)
(mvpa.clfs.base.ProxyClassifier method)
(mvpa.clfs.libsvmc.svm.SVM method)
(mvpa.datasets.base.Dataset method)
summary_labels() (mvpa.datasets.base.Dataset method)
SummaryStatistics (class in mvpa.clfs.transerror)
support vector machine
sv (mvpa.mappers.svd.SVDMapper attribute)
SVD
SVDMapper (class in mvpa.mappers.svd)
SVM, [1], [2]
(class in mvpa.clfs.libsvmc.svm)
SWIG
syntactic sugaring

T

t0 (mvpa.datasets.channel.ChannelDataset attribute)
(mvpa.misc.io.eepbin.EEPBin attribute)
table2string() (in module mvpa.base.dochelpers)
tail (mvpa.clfs.stats.NullDist attribute)
TailSelector (class in mvpa.featsel.helpers)
TaskPLS (class in mvpa.measures.pls)
testAllDependencies() (in module mvpa.base.externals)
testdataset (mvpa.clfs.base.FeatureSelectionClassifier attribute)
textbook
threshold (mvpa.featsel.helpers.FixedErrorThresholdStopCrit attribute)
Time-compression
toarray() (mvpa.misc.bv.base.BrainVoyagerRTC method)
(mvpa.misc.fsl.base.McFlirtParams method)
todo
toEvents() (mvpa.misc.fsl.base.FslEV3 method)
tofile() (mvpa.misc.fsl.base.FslEV3 method)
(mvpa.misc.fsl.base.McFlirtParams method)
(mvpa.misc.io.base.ColumnData method)
(mvpa.misc.io.base.SampleAttributes method)
train() (mvpa.clfs.base.Classifier method)
(mvpa.clfs.base.PredictionsCombiner method)
(mvpa.mappers.base.ChainMapper method)
(mvpa.mappers.base.CombinedMapper method)
(mvpa.mappers.base.Mapper method)
(mvpa.mappers.base.ProjectionMapper method)
(mvpa.mappers.samplegroup.SampleGroupMapper method)
trained (mvpa.clfs.base.Classifier attribute)
transerror (mvpa.algorithms.cvtranserror.CrossValidatedTransferError attribute)
transfer error
TransferError (class in mvpa.clfs.transerror)
transformWithBoxcar() (in module mvpa.misc.support)
TuebingenMEG (class in mvpa.misc.io.meg)
TuebingenMEGSensorLocations (class in mvpa.misc.io.base)

U

Ubuntu
UC (mvpa.datasets.base.Dataset attribute)
UL (mvpa.datasets.base.Dataset attribute)
uniquechunks (mvpa.datasets.base.Dataset attribute)
uniquelabels (mvpa.datasets.base.Dataset attribute)
uniqueValues (mvpa.misc.state.AttributeWithUnique attribute)
unittests
univariate
UnknownStateError (class in mvpa.misc.exceptions)
untrain() (mvpa.clfs.base.BoostedClassifier method)
(mvpa.clfs.base.Classifier method)
(mvpa.clfs.base.ClassifierCombiner method)
(mvpa.clfs.base.CombinedClassifier method)
(mvpa.clfs.base.FeatureSelectionClassifier method)
(mvpa.clfs.base.ProxyClassifier method)
(mvpa.clfs.knn.kNN method)
(mvpa.clfs.libsvmc.svm.SVM method)

V

validation data
value (mvpa.misc.param.Parameter attribute)
(mvpa.misc.state.CollectableAttribute attribute)
Variance1SVFx (class in mvpa.misc.errorfx)
verbosity, [1]
VProperty (class in mvpa.misc.vproperty)

W

Warehouse (class in mvpa.clfs.warehouse)
warning, [1]
WarningLog (class in mvpa.base)
Weight Vector
weights
(mvpa.clfs.smlr.SMLR attribute)
where() (mvpa.datasets.base.Dataset method)
whichSet() (mvpa.misc.state.Collection method)
Windows
Windows installer
working data
wr1996() (in module mvpa.misc.data_generators)

X

XAVRSensorLocations (class in mvpa.misc.io.base)

Z

zscore() (in module mvpa.datasets.miscfx)