Module suite

source code

MultiVariate Pattern Analysis -- load helper

If you don't like to specify exact location of any particular functionality within PyMVPA, please simply:

from mvpa.suite import *

or

import mvpa.suite

Imports: pymvpa_dataroot, test, psyco, seed, warnings_bt, error, warnings_btlevels, warnings_maxcount, WarningLog, SafeConfigParser, ConfigManager, RelativeTime, TraceBack, LevelLogger, DebugLogger, stdout, OnceLogger, basename, traceback, mbasename, SetLogger, stderr, parseStatus, Logger, dirname, getpid, wtf, escapeXML, rl, Report, CrossValidatedTransferError, Hyperalignment, clfs, absminDistance, oneMinusCorrelation, manhattenDistance, mahalanobisDistance, pnorm_w_python, converters, weave, Kernel, kernel_dictionary, KernelRationalQuadratic, _DEV__DOC__, KernelConstant, FailedToPredictError, LearnerError, time, DegenerateInputError, MeanPrediction, BinaryClassifier, MappedClassifier, ProxyClassifier, TreeClassifier, PredictionsCombiner, MaximalVote, CombinedClassifier, BoostedClassifier, ClassifierCombiner, LARSWeights, known_models, ENET, ENETWeights, rpy, GLMNETWeights, abs, sum, ones, zeros, isfinite, dot, MCNullDist, plotDistributionMatches, AdaptiveNormal, NullDist, FixedNullDist, AdaptiveRDist, rv_semifrozen, kstest, AdaptiveNullDist, Nonparametric, matchDistribution, SummaryStatistics, ConfusionBasedError, log10, ROCCurve, RegressionStatistics, ceil, nanmean, StringIO, ConfusionMatrix, TransferError, cfg, LinearNuSVMC, GNB, Warehouse, lars, GLMNET_R, LinearCSVMC, FeatureSelectionClassifier, SMLRWeights, GLMNET_C, LARS, MulticlassClassifier, SVM, linearSVMC, SplitClassifier, regrswh, BLR, libsvm, clfswh, RbfNuSVMC, kNN, default_backend, rfesvm_split, SMLR, bad_classifiers, RbfCSVMC, sg, rfesvm, datasets, idhash_, DatasetAttribute, FeatureAttribute, SampleAttribute, MetaDataset, random, MaskedDataset, SequenceStats, zscore, getSamplesPerChunkLabel, detrend, table2string, removeInvariantFeatures, datasetmethod, aggregateFeatures, signal, EEPDataset, ChannelDataset, getNiftiData, EventDataset, NiftiImage, oldname, getNiftiFromAnySource, ERNiftiDataset, NiftiDataset, splitters, Splitter, HalfSplitter, OddEvenSplitter, support, CustomSplitter, NGroupSplitter, coarsenChunks, featsel, CombinedFeatureSelection, SensitivityBasedFeatureSelection, FeatureSelectionPipeline, TailSelector, RangeElementSelector, FixedErrorThresholdStopCrit, floor, MultiStopCrit, NStepsStopCrit, StoppingCriterion, IFS, FixedNElementTailSelector, FractionTailSelector, BestDetector, ClassifierError, arange, RFE, FeatureSelection, NBackHistoryStopCrit, mappers, CombinedMapper, ChainMapper, Metric, SVDMapper, ElementSelector, ProcrusteanMapper, SampleGroupMapper, SimpleSOMMapper, cartesianDistance, DenseArrayMapper, DescreteMetric, MaskMapper, ZScoreMapper, PCAMapper, NIPALSNode, FastICANode, ICAMapper, CuBICANode, ProjectionMapper, LLEMapper, LLENode, HLLENode, measures, OneWayAnova, CompoundOneWayAnova, GLM, IterativeReliefOnline_Devel, KernelMatern_5_2, KernelExponential, KernelMatern_3_2, IterativeRelief_Devel, pnorm_w, IterativeReliefOnline, IterativeRelief, group_kwargs, MappedClassifierSensitivityAnalyzer, CombinedFeaturewiseDatasetMeasure, BoostedClassifierSensitivityAnalyzer, SplitFeaturewiseDatasetMeasure, ProxyClassifierSensitivityAnalyzer, FeatureSelectionClassifierSensitivityAnalyzer, autoNullDist, StaticDatasetMeasure, NoisePerturbationSensitivity, Searchlight, MappedDataset, SplitFeaturewiseMeasure, NoneSplitter, TScoredFeaturewiseMeasure, CorrStability, sys, singleGammaHRF, doubleGammaHRF, leastSqFit, RMSErrorFx, RelativeRMSErrorFx, Variance1SVFx, rootMeanPowerFx, CorrErrorPFx, trapz, meanPowerFx, CorrErrorFx, MeanMismatchErrorFx, AUCErrorFx, opt, optDebug, Option, commonopts_list, parser, mvpa, OptionGroups, OptionConflictError, opts, OptionGroup, Options, OptionParser, verbose, chirpLinear, noisy_2d_fx, multipleChunks, linear_awgn, dumbFeatureDataset, wr1996, normalFeatureDataset, pureMultivariateSignal, normalFeatureDataset__, getMVPattern, sinModulated, dumbFeatureBinaryDataset, DatasetError, design2labels, re_sub, TuebingenMEGSensorLocations, SensorLocations, XAVRSensorLocations, SampleAttributes, labels2chunks, EEPBin, DataReader, TuebingenMEG, cPickle, _d_geti_, _o_geta_, _o_seta_, _d_seti_, Hamster, gzip, read_fsl_design, shutil, tempfile, FslGLMDesign, McFlirtParams, makeFlobs, math, FslEV3, BrainVoyagerRTC, ColumnData, KernelParameter, SampleAttributesCollection, operator, Harvestable, UnknownStateError, Collection, TextWrapper, CollectableAttribute, StateCollection, ParameterCollection, VProperty, AttributesCollector, reuseAbsolutePath, deepcopy, StringType, TupleType, SmartVersion, re, MapOverlap, Harvester, isSequenceType, idhash, Version, xuniqueCombinations, HarvesterCall, version_to_tuple, transformWithBoxcar, ListType, isSorted, getUniqueLengthNCombinations, isInVolume, getBreakPoints, indentDoc, RFEHistory2maps, Event, L2Normed, SecondAxisSumOfAbs, ClassWithCollections, Identity, ReverseRankOrder, DistPValue, FirstAxisSumNotZero, OverAxis, L1Normed, SecondAxisMaxOfAbs, RankOrder, OneMinus, GrandMean, FirstAxisMean, SecondAxisMean, Absolute, nifti, MelodicResults, os, plotErrLine, plotSamplesDistance, plotFeatureHist, NFoldSplitter, plotDatasetChunks, plotBars, inverseCmap, squared_euclidean_distance, BoxcarMapper, plotERP, mpl, plotERPs, mlt, griddata, leastsq, plotHeadOutline, M, plotHeadTopography, plotMRI, scipy, CorrCoef, pearsonr, FeaturewiseDatasetMeasure, DSMDatasetMeasure, DatasetMeasure, RidgeReg, lstsq, PLR, ConvergenceError, FailedToTrainError, stats, chisquare, DSMatrix, copy, NLAcholesky, ModelSelector, NLAError, Parameter, StateVariable, SLcho_solve, GPR, SLcholesky, eps64, GPRWeights, KernelSquaredExponential, SLAError, Nlog, Ndiag, KernelLinear, Classifier, GPRLinearWeights, Sensitivity, NLAsolve, Dataset, SL, InvalidHyperparameterError, Ndot, Mapper, WaveletPacketMapper, WaveletTransformationMapper, externals, N, warning, pywt, enhancedDocString, P, KNOWN_ATLASES, XMLAtlasException, ReferencesAtlas, KNOWN_ATLAS_FAMILIES, LabelsAtlas, Atlas, FSLProbabilisticAtlas, debug