Index

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

---

A

absmin_distance() (in module mvpa.clfs.distance) Absolute() (in module mvpa.misc.transformers) absolute_features() (in module mvpa.mappers.fx) accepts_dataset_as_samples() (in module mvpa.base.types) accepts_samples_as_dataset() (in module mvpa.clfs.base) AccuracyFx (class in mvpa.misc.errorfx) 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) add_conversion() (mvpa.kernels.base.Kernel class method) AFNI aggregate_features() (in module mvpa.datasets.miscfx) (mvpa.base.dataset.AttrDataset method) all (numpy.ndarray attribute) alternative build procedure analyzer (mvpa.measures.base.ProxyClassifierSensitivityAnalyzer attribute) analyzers (mvpa.measures.base.CombinedFeaturewiseDatasetMeasure attribute) anova any (numpy.ndarray attribute) API reference append() (mvpa.base.dataset.AttrDataset method) (mvpa.mappers.base.ChainMapper method) argmax (numpy.ndarray attribute) argmin (numpy.ndarray attribute) argsort (numpy.ndarray attribute) array_whereequal() (in module mvpa.misc.support)

ArrayCollectable (class in mvpa.base.collections) as_descrete_time() (mvpa.misc.support.Event method) as_ls() (mvpa.kernels.base.Kernel method) (mvpa.kernels.libsvm.LSKernel method) as_np() (mvpa.kernels.base.Kernel method) (mvpa.kernels.base.NumpyKernel method) as_raw_ls() (mvpa.kernels.base.Kernel method) (mvpa.kernels.libsvm.LSKernel method) as_raw_np() (mvpa.kernels.base.Kernel method) (mvpa.kernels.base.NumpyKernel method) (mvpa.kernels.libsvm.LSKernel method) as_raw_sg() (mvpa.kernels.base.Kernel method) (mvpa.kernels.sg.SGKernel method) as_sg() (mvpa.kernels.base.Kernel method) (mvpa.kernels.sg.SGKernel method) as_string() (mvpa.clfs.transerror.ConfusionMatrix method) (mvpa.clfs.transerror.RegressionStatistics method) (mvpa.clfs.transerror.SummaryStatistics method) asdict() (mvpa.misc.io.hamster.Hamster method) asobjarray() (in module mvpa.base.types) astype (numpy.ndarray attribute) AttrDataset (class in mvpa.base.dataset) AttributeMap (class in mvpa.misc.attrmap) AttributesCollector (class in mvpa.misc.state) AUCErrorFx (class in mvpa.misc.errorfx) aucs (mvpa.clfs.transerror.ROCCurve attribute) auto_null_dist() (in module mvpa.clfs.stats) autocorrelated_noise() (in module mvpa.misc.data_generators)

B

backports base (numpy.ndarray attribute) BaseSearchlight (class in mvpa.measures.searchlight) 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.meta) BinaryClassifierSensitivityAnalyzer (class in mvpa.measures.base) Block-averaging, [1] BLR (class in mvpa.clfs.blr)

BoostedClassifier (class in mvpa.clfs.meta) BoostedClassifierSensitivityAnalyzer (class in mvpa.measures.base) borrowdoc() (in module mvpa.base.dochelpers) borrowkwargs() (in module mvpa.base.dochelpers) BoxcarMapper (class in mvpa.mappers.boxcar) BrainVoyagerRTC (class in mvpa.misc.bv.base) build instructions building from source building on Windows byteswap (numpy.ndarray attribute)

C

C (mvpa.datasets.base.Dataset attribute) ca CachedKernel (class in mvpa.kernels.base) CachedQueryEngine (class in mvpa.misc.neighborhood) cartesian_distance() (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) centroid (mvpa.mappers.mdp_adaptor.PCAMapper attribute) cfg ChainMapper (class in mvpa.mappers.base) change_temporarily() (mvpa.misc.state.ConditionalAttributesCollection method) changelog channels (mvpa.datasets.eep.EEPBin attribute) chirp_linear() (in module mvpa.misc.data_generators) chisquare() (in module mvpa.misc.stats) choose (numpy.ndarray attribute) Chunk chunks (mvpa.datasets.base.Dataset attribute) citation Classifier classifier Classifier (class in mvpa.clfs.base) classifier error classifier weights ClassifierCombiner (class in mvpa.clfs.meta) ClassifierError (class in mvpa.clfs.transerror) ClassWithCollections (class in mvpa.misc.state) clean() (mvpa.clfs.stats.MCNullDist method) cleanup() (mvpa.kernels.base.Kernel method) clear() (mvpa.base.report.Report method) (mvpa.misc.attrmap.AttributeMap method) clf (mvpa.clfs.meta.ProxyClassifier attribute) (mvpa.clfs.transerror.ClassifierError attribute) (mvpa.measures.base.Sensitivity attribute) clfs (mvpa.clfs.meta.BoostedClassifier attribute) clip (numpy.ndarray attribute) clone() (mvpa.clfs.base.Classifier method) coarsen_chunks() (in module mvpa.datasets.miscfx) (mvpa.base.dataset.AttrDataset method) code swarm collect_nose_tests() (in module mvpa.tests) collect_test_suites() (in module mvpa.tests) collect_unit_tests() (in module mvpa.tests) Collectable (class in mvpa.base.collections) Collection (class in mvpa.base.collections) (class in mvpa.misc.state) ColumnData (class in mvpa.misc.io.base) combined_analyzer (mvpa.measures.base.BoostedClassifierSensitivityAnalyzer attribute) CombinedClassifier (class in mvpa.clfs.meta) CombinedFeatureSelection (class in mvpa.featsel.base) CombinedFeaturewiseDatasetMeasure (class in mvpa.measures.base) CombinedMapper (class in mvpa.mappers.base)

combiner (mvpa.clfs.meta.CombinedClassifier attribute) (mvpa.featsel.base.CombinedFeatureSelection attribute) CompoundOneWayAnova (class in mvpa.measures.anova) compress (numpy.ndarray attribute) compute() (mvpa.clfs.transerror.SummaryStatistics method) (mvpa.kernels.base.CachedKernel method) (mvpa.kernels.base.Kernel method) (mvpa.kernels.base.PrecomputedKernel method) (mvpa.kernels.libsvm.LSKernel method) (mvpa.kernels.sg.PrecomputedSGKernel method) compute_gradient_log_marginal_likelihood() (mvpa.clfs.gpr.GPR method) compute_gradient_log_marginal_likelihood_logscale() (mvpa.clfs.gpr.GPR method) compute_lml_gradient() (mvpa.kernels.np.ConstantKernel method) (mvpa.kernels.np.ExponentialKernel method) (mvpa.kernels.np.SquaredExponentialKernel method) compute_lml_gradient_logscale() (mvpa.kernels.np.ConstantKernel method) (mvpa.kernels.np.ExponentialKernel method) (mvpa.kernels.np.SquaredExponentialKernel method) compute_log_marginal_likelihood() (mvpa.clfs.blr.BLR method) (mvpa.clfs.gpr.GPR method) compute_M_H() (mvpa.measures.irelief.IterativeRelief method) (mvpa.measures.irelief.IterativeRelief_Devel method) computed() (mvpa.clfs.similarity.Similarity method) (mvpa.clfs.similarity.SingleDimensionSimilarity method) (mvpa.clfs.similarity.StreamlineSimilarity method) (mvpa.kernels.base.Kernel method) Conditional Attribute ConditionalAttribute (class in mvpa.misc.attributes) ConditionalAttributesCollection (class in mvpa.misc.state) config file ConfigManager (class in mvpa.base.config) configuration Confusion Matrix ConfusionBasedError (class in mvpa.clfs.transerror) ConfusionMatrix (class in mvpa.clfs.transerror) conj (numpy.ndarray attribute) conjugate (numpy.ndarray attribute) ConstantKernel (class in mvpa.kernels.np) copy (numpy.ndarray attribute) copy() (mvpa.base.dataset.AttrDataset method) corouge() (in module mvpa.clfs.distance) CorrCoef (class in mvpa.measures.corrcoef) CorrErrorFx (class in mvpa.misc.errorfx) CorrErrorPFx (class in mvpa.misc.errorfx) CorrFx (class in mvpa.misc.errorfx) CorrStability (class in mvpa.measures.corrstability) cross-validation, [1], [2], [3] Cross-validation, [1], [2] CrossValidatedTransferError (class in mvpa.algorithms.cvtranserror) ctypes (numpy.ndarray attribute) cumprod (numpy.ndarray attribute) cumsum (numpy.ndarray attribute) CustomKernel (class in mvpa.kernels.base) CustomSGKernel (class in mvpa.kernels.sg) CustomSplitter (class in mvpa.datasets.splitters)

D

DAE (in module mvpa.base.dataset) data (mvpa.misc.io.base.DataReader attribute) (numpy.ndarray attribute) data formats data splitting DataReader (class in mvpa.misc.io.base) dataset Dataset (class in mvpa.datasets.base) dataset attribute Dataset attribute Dataset concepts Dataset Database dataset_wizard() (mvpa.datasets.base class method) DatasetAttribute (class in mvpa.base.collections) DatasetAttributeExtractor (class in mvpa.base.dataset) DatasetAttributesCollection (class in mvpa.base.collections) DatasetMeasure (class in mvpa.measures.base) datasetmethod() (in module mvpa.base.dataset) Debian, [1] debug, [1] DebugLogger (class in mvpa.base.verbosity) Decoding default (mvpa.misc.param.Parameter attribute)

descr (mvpa.misc.state.ClassWithCollections attribute) design2labels() (in module mvpa.misc.io.base) detrending development development snapshot diagonal (numpy.ndarray attribute) disable() (mvpa.misc.state.ConditionalAttributesCollection method) dissimilarity matrix distance_func (mvpa.misc.neighborhood.Sphere attribute) DistPValue (class in mvpa.misc.transformers) Documentation overview Download DSMatrix (class in mvpa.misc.stats) DSMDatasetMeasure (class in mvpa.measures.ds) dt (mvpa.datasets.eep.EEPBin attribute) dtype (numpy.ndarray attribute) dumb_feature_binary_dataset() (in module mvpa.misc.data_generators) dumb_feature_dataset() (in module mvpa.misc.data_generators) dump (numpy.ndarray attribute) dump() (mvpa.misc.io.hamster.Hamster method) dumps (numpy.ndarray attribute) durations (mvpa.misc.fsl.base.FslEV3 attribute)

E

eep_dataset() (in module mvpa.datasets.eep) EEPBin (class in mvpa.datasets.eep) element_sizes (mvpa.misc.neighborhood.Sphere attribute) ElementSelector (class in mvpa.featsel.helpers) enable() (mvpa.misc.state.ConditionalAttributesCollection method) enabled (mvpa.misc.attributes.ConditionalAttribute attribute) (mvpa.misc.state.ConditionalAttributesCollection attribute) ENET (class in mvpa.clfs.enet) ENETWeights (class in mvpa.clfs.enet) enhanced_doc_string() (in module mvpa.base.dochelpers) environment variable MVPA_DEBUG, [1], [2] MVPA_DEBUG_METRICS MVPA_DEBUG_WTF MVPA_EXAMPLES_INTERACTIVE MVPA_MATPLOTLIB_BACKEND 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 equal_default (mvpa.misc.param.Parameter attribute) error (mvpa.clfs.transerror.ConfusionMatrix attribute) (mvpa.clfs.transerror.RegressionStatistics attribute) (mvpa.clfs.transerror.SummaryStatistics attribute) error() (in module mvpa.base) errorfx (mvpa.clfs.transerror.TransferError attribute) escape_xml() (in module mvpa.base.report) Event (class in mvpa.misc.support) event-related fMRI, [1] eventrelated_dataset() (in module mvpa.datasets.eventrelated) example examples Exemplar exists() (in module mvpa.base.externals) ExponentialKernel (class in mvpa.kernels.np)

F

F-score feature, [1] Feature Feature attribute Feature Selection feature selection, [1], [2], [3] feature_ids (mvpa.measures.base.Sensitivity attribute) feature_selection (mvpa.clfs.meta.FeatureSelectionClassifier attribute) feature_selections (mvpa.featsel.base.CombinedFeatureSelection attribute) (mvpa.featsel.base.FeatureSelectionPipeline attribute) FeatureAttribute (class in mvpa.base.collections) FeatureAttributesCollection (class in mvpa.base.collections) FeatureSelection (class in mvpa.featsel.base) FeatureSelectionClassifier (class in mvpa.clfs.meta) FeatureSelectionClassifierSensitivityAnalyzer (class in mvpa.measures.base) FeatureSelectionPipeline (class in mvpa.featsel.base) FeatureSliceMapper (class in mvpa.mappers.base) FeaturewiseDatasetMeasure (class in mvpa.measures.base) Fedora felements (mvpa.featsel.helpers.FractionTailSelector attribute) figure() (mvpa.base.report.Report method) figures() (mvpa.base.report.Report method) fill (numpy.ndarray attribute) find_events() (in module mvpa.datasets.eventrelated) first_axis_mean() (in module mvpa.misc.transformers) first_axis_sum_not_zero() (in module mvpa.misc.transformers) fit() (mvpa.clfs.stats.AdaptiveNullDist method) (mvpa.clfs.stats.FixedNullDist method) (mvpa.clfs.stats.MCNullDist method) (mvpa.clfs.stats.Nonparametric static method) (mvpa.clfs.stats.NullDist method) (mvpa.clfs.stats.rv_semifrozen method)

FixedErrorThresholdStopCrit (class in mvpa.featsel.helpers) FixedNElementTailSelector (class in mvpa.featsel.helpers) FixedNullDist (class in mvpa.clfs.stats) flags (numpy.ndarray attribute) flat (numpy.ndarray attribute) flatten (numpy.ndarray attribute) FlattenMapper (class in mvpa.mappers.flatten) flowbreak() (mvpa.base.report.Report method) fMRI fmri_dataset() (in module mvpa.datasets.mri) forward mapping forward() (mvpa.mappers.base.ChainMapper method) (mvpa.mappers.base.CombinedMapper method) (mvpa.mappers.base.Mapper method) forward1() (mvpa.mappers.base.ChainMapper method) (mvpa.mappers.base.Mapper method) (mvpa.mappers.boxcar.BoxcarMapper method) FractionTailSelector (class in mvpa.featsel.helpers) free software from_channeltimeseries() (mvpa.datasets.base.Dataset class method) from_hdf5() (mvpa.base.dataset.AttrDataset class method) from_wizard() (mvpa.datasets.base.Dataset class method) FSL, [1] FslEV3 (class in mvpa.misc.fsl.base) FslGLMDesign (class in mvpa.misc.fsl.base) funcdata (mvpa.misc.fsl.melodic.MelodicResults attribute) FxMapper (class in mvpa.mappers.fx)

G

Gaussian process regression Generalization GeneralizedLinearKernel (class in mvpa.kernels.np) get() (mvpa.base.config.ConfigManager method) get_as_dtype() (mvpa.base.config.ConfigManager method) get_break_points() (in module mvpa.misc.support) get_ev() (mvpa.misc.fsl.base.FslEV3 method) get_full_matrix() (mvpa.misc.stats.DSMatrix method) get_insize() (mvpa.mappers.base.CombinedMapper method) get_inspace() (mvpa.mappers.base.Mapper method) get_labels_map() (mvpa.clfs.transerror.ConfusionMatrix method) get_majority_vote() (mvpa.clfs.knn.kNN method) get_mapped() (mvpa.datasets.base.Dataset method) get_metric() (mvpa.misc.stats.DSMatrix method) get_mv_pattern() (in module mvpa.misc.data_generators) get_neighbor() (mvpa.mappers.base.CombinedMapper method) get_nsamples_per_attr() (in module mvpa.datasets.miscfx) (mvpa.base.dataset.AttrDataset method) get_outsize() (mvpa.mappers.base.CombinedMapper method) get_pymvpa_gitversion() (in module mvpa.base.info) get_random_rotation() (in module mvpa.testing.datasets) get_samples_by_attr() (in module mvpa.datasets.miscfx) (mvpa.base.dataset.AttrDataset method) get_samples_per_chunk_target() (in module mvpa.datasets.miscfx) (mvpa.base.dataset.AttrDataset method) get_sensitivity_analyzer() (mvpa.clfs.base.Classifier method) (mvpa.clfs.enet.ENET method) (mvpa.clfs.gpr.GPR method) (mvpa.clfs.lars.LARS method) (mvpa.clfs.meta.BoostedClassifier method) (mvpa.clfs.meta.ProxyClassifier method) (mvpa.clfs.meta.SplitClassifier method) (mvpa.clfs.smlr.SMLR method)

get_triangle() (mvpa.misc.stats.DSMatrix method) get_vector_form() (mvpa.misc.stats.DSMatrix method) get_weighted_vote() (mvpa.clfs.knn.kNN method) getboolean() (mvpa.base.config.ConfigManager method) getfield (numpy.ndarray attribute) Git, [1] Git repository GLM (class in mvpa.measures.glm) GLMNET_C (class in mvpa.clfs.glmnet) GLMNET_R (class in mvpa.clfs.glmnet) GLMNETWeights (class in mvpa.clfs.glmnet) GNB (class in mvpa.clfs.gnb) GNBSearchlight (class in mvpa.measures.gnbsearchlight) GPR, [1], [2] (class in mvpa.clfs.gpr) GPRLinearWeights (class in mvpa.clfs.gpr) gradient() (mvpa.kernels.np.ExponentialKernel method) (mvpa.kernels.np.Matern_3_2Kernel method) (mvpa.kernels.np.RationalQuadraticKernel method) grand_mean() (in module mvpa.misc.transformers) group_kwargs() (in module mvpa.misc.args)

H

h5load() (in module mvpa.base.hdf5) h5save() (in module mvpa.base.hdf5) HalfSplitter (class in mvpa.datasets.splitters) Hamster (class in mvpa.misc.io.hamster) handle_docstring() (in module mvpa.base.dochelpers) handlers (mvpa.base.verbosity.Logger attribute) harvest_attribs (mvpa.misc.state.Harvestable attribute) Harvestable (class in mvpa.misc.state)

hdf2obj() (in module mvpa.base.hdf5) history hlcuster HollowSamples (class in mvpa.datasets.base) HollowSphere (class in mvpa.misc.neighborhood) hstack() (in module mvpa.base.dataset) Hyperalignment (class in mvpa.algorithms.hyperalignment)

I

ic (mvpa.misc.fsl.melodic.MelodicResults attribute) ICAMapper (class in mvpa.mappers.mdp_adaptor) icastats (mvpa.misc.fsl.melodic.MelodicResults attribute) Identity() (in module mvpa.misc.transformers) idhash (mvpa.datasets.base.Dataset attribute) idhash() (in module mvpa.misc.support) IFS (class in mvpa.featsel.ifs) imag (numpy.ndarray attribute) incremental feature search indent (mvpa.base.verbosity.LevelLogger attribute) indent_doc() (in module mvpa.misc.support) IndexedCollectable (class in mvpa.misc.attributes) IndexQueryEngine (class in mvpa.misc.neighborhood) inds_to_coo() (in module mvpa.measures.gnbsearchlight) init_origids() (mvpa.base.dataset.AttrDataset method) inner_radius (mvpa.misc.neighborhood.HollowSphere attribute) installation intensities (mvpa.misc.fsl.base.FslEV3 attribute) internals (mvpa.clfs.warehouse.Warehouse attribute) introduction invariant features

IPython is_active() (mvpa.misc.state.ConditionalAttributesCollection method) is_datasetlike() (in module mvpa.base.types) is_default (mvpa.misc.param.Parameter attribute) is_enabled() (mvpa.misc.state.ConditionalAttributesCollection method) is_in_volume() (in module mvpa.misc.support) is_mergable() (mvpa.mappers.base.FeatureSliceMapper method) is_set (mvpa.misc.attributes.IndexedCollectable attribute) is_set() (mvpa.misc.state.Collection method) is_sorted() (in module mvpa.misc.support) is_trained() (mvpa.clfs.base.Classifier method) item (numpy.ndarray attribute) item() (mvpa.datasets.base.Dataset method) items (mvpa.clfs.warehouse.Warehouse attribute) itemset (numpy.ndarray attribute) itemsize (numpy.ndarray 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) iteritems() (mvpa.misc.attrmap.AttributeMap method)

K

K (mvpa.mappers.som.SimpleSOMMapper attribute) k() (mvpa.measures.irelief.IterativeRelief method) k-nearest-neighbour Kernel (class in mvpa.kernels.base) kernel (mvpa.clfs.gpr.GPR attribute)

KernelParameter (class in mvpa.misc.param) keys() (mvpa.misc.attrmap.AttributeMap method) kNN, [1] (class in mvpa.clfs.knn)

L

l1_normed() (in module mvpa.misc.transformers) l2_normed() (in module mvpa.misc.transformers) Label labels (mvpa.clfs.transerror.ClassifierError attribute) (mvpa.clfs.transerror.ConfusionMatrix attribute) labels2chunks() (in module mvpa.misc.io.base) labels_map (mvpa.clfs.transerror.ConfusionMatrix attribute) LARS (class in mvpa.clfs.lars) LARSWeights (class in mvpa.clfs.lars) lastdim_columnsums_fancy_indexing() (in module mvpa.measures.gnbsearchlight) lastdim_columnsums_spmatrix() (in module mvpa.measures.gnbsearchlight) Learner least angle regression leave-one-out length_scale (mvpa.kernels.np.SquaredExponentialKernel attribute) Less1Classifier (class in mvpa.testing.clfs) level (mvpa.base.verbosity.LevelLogger attribute) LevelLogger (class in mvpa.base.verbosity) lfprev (mvpa.base.verbosity.Logger attribute)

LIBSVM, [1] license linear1d_gaussian_noise() (in module mvpa.misc.data_generators) linear_awgn() (in module mvpa.misc.data_generators) LinearCSVMC (class in mvpa.clfs.svm) LinearKernel (class in mvpa.kernels.np) LinearLSKernel (class in mvpa.kernels.libsvm) LinearNuSVMC (class in mvpa.clfs.svm) LinearSGKernel (class in mvpa.kernels.sg) listing (mvpa.misc.state.Collection attribute) listing() (mvpa.clfs.warehouse.Warehouse method) LLEMapper (class in mvpa.mappers.lle) load_datadb_demo_blockfmri() (in module mvpa.misc.data_generators) load_datadb_tutorial_data() (in module mvpa.misc.data_generators) load_example_fmri_dataset() (in module mvpa.misc.data_generators) locations() (mvpa.misc.io.base.SensorLocations method) Logger (class in mvpa.base.verbosity) logistic regression LSKernel (class in mvpa.kernels.libsvm)

M

Machine Learning MacOS X, [1], [2] mahalanobis_distance() (in module mvpa.clfs.distance) make_flobs() (in module mvpa.misc.fsl.flobs) manhatten_distance() (in module mvpa.clfs.distance) map2nifti() (in module mvpa.datasets.mri) MapOverlap (class in mvpa.misc.support) MappedClassifier (class in mvpa.clfs.meta) MappedClassifierSensitivityAnalyzer (class in mvpa.measures.base) mapper, [1], [2] Mapper (class in mvpa.mappers.base) mapper (mvpa.clfs.meta.MappedClassifier attribute) (mvpa.datasets.base.Dataset attribute) mask_mapper() (in module mvpa.mappers.flatten) maskclf (mvpa.clfs.meta.FeatureSelectionClassifier attribute) MaskedDataset match_distribution() (in module mvpa.clfs.stats) Matern_3_2Kernel (class in mvpa.kernels.np) Matern_5_2Kernel (class in mvpa.kernels.np) Matlab matplotlib matrices (mvpa.clfs.transerror.ConfusionMatrix attribute) matrix (mvpa.clfs.transerror.ConfusionMatrix attribute) max (numpy.ndarray attribute) max_of_abs() (in module mvpa.misc.transformers) maxcount (mvpa.base.WarningLog attribute) MaximalVote (class in mvpa.clfs.meta) maxofabs_sample() (in module mvpa.mappers.fx) mbasename() (in module mvpa.base.verbosity) McFlirtParams (class in mvpa.misc.fsl.base) MCNullDist (class in mvpa.clfs.stats) MDP MDPFlowMapper (class in mvpa.mappers.mdp_adaptor) MDPNodeMapper (class in mvpa.mappers.mdp_adaptor) mean (numpy.ndarray attribute) mean_group_feature() (in module mvpa.mappers.fx) mean_group_sample() (in module mvpa.mappers.fx) mean_min() (in module mvpa.clfs.distance) mean_power_fx() (in module mvpa.misc.errorfx) mean_sample() (in module mvpa.mappers.fx) MeanAccuracyFx (class in mvpa.misc.errorfx) MeanMismatchErrorFx (class in mvpa.misc.errorfx) MeanPrediction (class in mvpa.clfs.meta) measure, [1], [2], [3], [4] MelodicResults (class in mvpa.misc.fsl.melodic) meta measures Meta-classifier metrics (mvpa.base.verbosity.DebugLogger attribute) min (numpy.ndarray attribute) misc MismatchErrorFx (class in mvpa.misc.errorfx) mode (mvpa.featsel.helpers.ElementSelector attribute) model selection modular architecture monte-carlo, [1] motion correction MulticlassClassifier (class in mvpa.clfs.meta) multiple_chunks() (in module mvpa.misc.data_generators) MultiStopCrit (class in mvpa.featsel.helpers) MVPA, [1] mvpa (module) MVPA toolbox for Matlab, [1] mvpa.algorithms.cvtranserror (module) mvpa.algorithms.hyperalignment (module) mvpa.atlases (module) mvpa.base (module) mvpa.base.collections (module) mvpa.base.config (module) mvpa.base.dataset (module) mvpa.base.dochelpers (module) mvpa.base.externals (module) mvpa.base.hdf5 (module) mvpa.base.info (module) mvpa.base.report (module) mvpa.base.types (module) mvpa.base.verbosity (module) mvpa.clfs (module) mvpa.clfs.base (module) mvpa.clfs.blr (module) mvpa.clfs.distance (module) mvpa.clfs.enet (module) mvpa.clfs.glmnet (module) mvpa.clfs.gnb (module) mvpa.clfs.gpr (module) mvpa.clfs.knn (module) mvpa.clfs.lars (module) mvpa.clfs.libsvmc (module) mvpa.clfs.meta (module) mvpa.clfs.plr (module) mvpa.clfs.ridge (module) mvpa.clfs.sg (module) mvpa.clfs.similarity (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.eep (module) mvpa.datasets.eventrelated (module) mvpa.datasets.miscfx (module) mvpa.datasets.mri (module) mvpa.datasets.splitters (module) mvpa.featsel.base (module) mvpa.featsel.helpers (module) mvpa.featsel.ifs (module) mvpa.featsel.rfe (module) mvpa.kernels (module) mvpa.kernels.base (module) mvpa.kernels.libsvm (module) mvpa.kernels.np (module) mvpa.kernels.sg (module) mvpa.mappers (module), [1] mvpa.mappers.base (module) mvpa.mappers.boxcar (module) mvpa.mappers.detrend (module) mvpa.mappers.flatten (module) mvpa.mappers.fx (module) mvpa.mappers.lle (module) mvpa.mappers.mdp_adaptor (module) mvpa.mappers.procrustean (module) mvpa.mappers.projection (module) mvpa.mappers.prototype (module) mvpa.mappers.som (module) mvpa.mappers.svd (module) mvpa.mappers.wavelet (module) mvpa.mappers.zscore (module) mvpa.measures (module), [1] mvpa.measures.anova (module) mvpa.measures.base (module) mvpa.measures.corrcoef (module) mvpa.measures.corrstability (module) mvpa.measures.ds (module) mvpa.measures.glm (module) mvpa.measures.gnbsearchlight (module) mvpa.measures.irelief (module) mvpa.measures.noiseperturbation (module) mvpa.measures.searchlight (module) mvpa.misc (module) mvpa.misc.args (module) mvpa.misc.attributes (module) mvpa.misc.attrmap (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.fsl.melodic (module) mvpa.misc.fx (module) mvpa.misc.io (module) mvpa.misc.io.base (module) mvpa.misc.io.hamster (module) mvpa.misc.io.meg (module) mvpa.misc.neighborhood (module) mvpa.misc.param (module) mvpa.misc.plot (module) mvpa.misc.plot.base (module) mvpa.misc.plot.erp (module) mvpa.misc.plot.lightbox (module) mvpa.misc.plot.topo (module) mvpa.misc.sampleslookup (module) mvpa.misc.state (module) mvpa.misc.stats (module) mvpa.misc.support (module) mvpa.misc.transformers (module) mvpa.misc.vproperty (module) mvpa.testing (module) mvpa.testing.clfs (module) mvpa.testing.datasets (module) mvpa.testing.tools (module) mvpa.tests (module) MVPA_DEBUG, [1], [2] MVPA_DEBUG_METRICS MVPA_DEBUG_WTF MVPA_EXAMPLES_INTERACTIVE MVPA_MATPLOTLIB_BACKEND 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.base.collections.Collectable attribute) nanmean() (in module mvpa.clfs.stats) NBackHistoryStopCrit (class in mvpa.featsel.helpers) nbytes (numpy.ndarray attribute) nchannels (mvpa.datasets.eep.EEPBin attribute) ncolumns (mvpa.misc.io.base.ColumnData attribute) ndarray (class in numpy) ndim (numpy.ndarray attribute) neglabels (mvpa.clfs.meta.BinaryClassifier attribute) nelements (mvpa.featsel.helpers.FixedNElementTailSelector attribute) Neural Data Modality nevs (mvpa.misc.fsl.base.FslEV3 attribute) newbyteorder (numpy.ndarray attribute) nfeatures (mvpa.base.dataset.AttrDataset attribute) NFoldSplitter (class in mvpa.datasets.splitters) NGroupSplitter (class in mvpa.datasets.splitters) nic (mvpa.misc.fsl.melodic.MelodicResults attribute) NIfTI nnlf() (mvpa.clfs.stats.rv_semifrozen method) noise perturbation NoisePerturbationSensitivity (class in mvpa.measures.noiseperturbation)

noisy_2d_fx() (in module mvpa.misc.data_generators) NoneSplitter (class in mvpa.datasets.splitters) Nonparametric (class in mvpa.clfs.stats) nonzero (numpy.ndarray attribute) norm (in module scipy.stats.distributions) normal_feature_dataset() (in module mvpa.misc.data_generators) npertarget (mvpa.datasets.splitters.Splitter attribute) nrows (mvpa.misc.io.base.ColumnData attribute) nsamples (mvpa.base.dataset.AttrDataset attribute) (mvpa.datasets.eep.EEPBin attribute) (mvpa.misc.io.base.SampleAttributes attribute) NStepsStopCrit (class in mvpa.featsel.helpers) ntimepoints (mvpa.datasets.eep.EEPBin attribute) null_dist (mvpa.clfs.transerror.TransferError attribute) (mvpa.measures.base.DatasetMeasure attribute) NullDist (class in mvpa.clfs.stats) NumPy numpy.random (module) NumpyKernel (class in mvpa.kernels.base)

O

O (mvpa.datasets.base.Dataset attribute) obj2hdf() (in module mvpa.base.hdf5) OddEvenSplitter (class in mvpa.datasets.splitters) offsetbydepth (mvpa.base.verbosity.DebugLogger attribute) OnceLogger (class in mvpa.base.verbosity) one_minus() (in module mvpa.misc.transformers) one_minus_correlation() (in module mvpa.clfs.distance) 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) OverAxis (class in mvpa.misc.transformers)

P

p() (mvpa.clfs.stats.NullDist method) Parameter (class in mvpa.misc.param) ParameterCollection (class in mvpa.misc.state) parse() (mvpa.misc.support.SmartVersion method) parse_status() (in module mvpa.base.verbosity) path (mvpa.misc.fsl.melodic.MelodicResults attribute) PCAMapper (class in mvpa.mappers.mdp_adaptor) penalized logistic regression percent_correct (mvpa.clfs.transerror.ConfusionMatrix attribute) permutation, [1] permute_attr (mvpa.datasets.splitters.Splitter attribute) permute_attr() (in module mvpa.datasets.miscfx) (mvpa.base.dataset.AttrDataset method) plot() (mvpa.clfs.transerror.ConfusionMatrix method) (mvpa.clfs.transerror.ROCCurve method) (mvpa.clfs.transerror.RegressionStatistics method) (mvpa.datasets.miscfx.SequenceStats method) (mvpa.misc.fsl.base.FslGLMDesign method) (mvpa.misc.fsl.base.McFlirtParams method) plot_distribution_matches() (in module mvpa.clfs.stats) plot_erp() (in module mvpa.misc.plot.erp) plot_erps() (in module mvpa.misc.plot.erp) plot_head_outline() (in module mvpa.misc.plot.topo) plot_head_topography() (in module mvpa.misc.plot.topo) plot_lightbox() (in module mvpa.misc.plot.lightbox) plotting plotting example PLR (class in mvpa.clfs.plr) pnorm_w() (in module mvpa.clfs.distance) pnorm_w_python() (in module mvpa.clfs.distance) poly_detrend() (in module mvpa.mappers.detrend) PolyDetrendMapper (class in mvpa.mappers.detrend)

PolyKernel (class in mvpa.kernels.np) PolyLSKernel (class in mvpa.kernels.libsvm) PolySGKernel (class in mvpa.kernels.sg) poslabels (mvpa.clfs.meta.BinaryClassifier attribute) postproc (mvpa.measures.base.DatasetMeasure attribute) PrecomputedKernel (class in mvpa.kernels.base) PrecomputedSGKernel (class in mvpa.kernels.sg) predict() (mvpa.clfs.base.Classifier method) PredictionsCombiner (class in mvpa.clfs.meta) print_registered() (mvpa.base.verbosity.SetLogger method) printsetid (mvpa.base.verbosity.SetLogger attribute) processing object, [1] Processing object ProcrusteanMapper (class in mvpa.mappers.procrustean) prod (numpy.ndarray attribute) progress tracking proj (mvpa.mappers.mdp_adaptor.ICAMapper attribute) (mvpa.mappers.mdp_adaptor.PCAMapper attribute) (mvpa.mappers.projection.ProjectionMapper attribute) ProjectionMapper (class in mvpa.mappers.projection) props (mvpa.misc.io.base.DataReader attribute) PrototypeMapper (class in mvpa.mappers.prototype) ProxyClassifier (class in mvpa.clfs.meta) ProxyClassifierSensitivityAnalyzer (class in mvpa.measures.base) ptp (numpy.ndarray attribute) Publications pure_multivariate_signal() (in module mvpa.misc.data_generators) put (numpy.ndarray attribute) PyMatlab PyMVPA poster PyNIfTI

Q

query() (mvpa.misc.neighborhood.CachedQueryEngine method) (mvpa.misc.neighborhood.IndexQueryEngine method) (mvpa.misc.neighborhood.QueryEngineInterface method) query_byid() (mvpa.misc.neighborhood.CachedQueryEngine method) (mvpa.misc.neighborhood.QueryEngine method) (mvpa.misc.neighborhood.QueryEngineInterface method)

QueryEngine (class in mvpa.misc.neighborhood) QueryEngineInterface (class in mvpa.misc.neighborhood)

R

R r_helper() (in module mvpa.measures.gnbsearchlight) radius (mvpa.misc.neighborhood.Sphere attribute) random number generation random_samples() (in module mvpa.datasets.miscfx) (mvpa.base.dataset.AttrDataset method) RangeElementSelector (class in mvpa.featsel.helpers) rank_order() (in module mvpa.misc.transformers) RationalQuadraticKernel (class in mvpa.kernels.np) ravel (numpy.ndarray attribute) RbfCSVMC (class in mvpa.clfs.svm) RbfKernel (class in mvpa.kernels.np) RbfLSKernel (class in mvpa.kernels.libsvm) RbfNuSVMC (class in mvpa.clfs.svm) RbfSGKernel (class in mvpa.kernels.sg) read_fsl_design() (in module mvpa.misc.fsl.base) real (numpy.ndarray attribute) recommended software recon (mvpa.mappers.mdp_adaptor.ICAMapper attribute) (mvpa.mappers.mdp_adaptor.PCAMapper attribute) (mvpa.mappers.projection.ProjectionMapper attribute) recursive feature selection redirecting output references register() (mvpa.base.verbosity.SetLogger method) register_metric() (mvpa.base.verbosity.DebugLogger method) registered (mvpa.base.verbosity.SetLogger attribute) (mvpa.misc.io.hamster.Hamster attribute) RegressionAsClassifier (class in mvpa.clfs.meta) RegressionAsClassifierSensitivityAnalyzer (class in mvpa.measures.base) RegressionStatistics (class in mvpa.clfs.transerror) RelativeRMSErrorFx (class in mvpa.misc.errorfx) RelativeTime (class in mvpa.base.verbosity) release notes releases reload() (mvpa.base.config.ConfigManager method) relvar_per_ic (mvpa.misc.fsl.melodic.MelodicResults attribute) remove_invariant_features() (in module mvpa.datasets.miscfx) (mvpa.base.dataset.AttrDataset method) repeat (numpy.ndarray attribute) Report (class in mvpa.base.report) repredict() (mvpa.clfs.base.Classifier method)

required software reset() (mvpa.clfs.transerror.SummaryStatistics method) (mvpa.kernels.np.GeneralizedLinearKernel method) (mvpa.kernels.np.SquaredExponentialKernel method) (mvpa.misc.attributes.ConditionalAttribute method) (mvpa.misc.attributes.IndexedCollectable method) (mvpa.misc.state.ClassWithCollections method) (mvpa.misc.state.Collection method) reset_changed_temporarily() (mvpa.misc.state.ConditionalAttributesCollection method) reset_value() (mvpa.misc.param.Parameter method) (mvpa.misc.state.ParameterCollection method) reshape (numpy.ndarray attribute) resize (numpy.ndarray attribute) retrain() (mvpa.clfs.base.Classifier method) reuse_absolute_path() (in module mvpa.misc.support) reverse mapping reverse() (mvpa.mappers.base.ChainMapper method) (mvpa.mappers.base.CombinedMapper method) (mvpa.mappers.base.Mapper method) reverse1() (mvpa.mappers.base.ChainMapper method) (mvpa.mappers.base.FeatureSliceMapper method) (mvpa.mappers.base.Mapper method) (mvpa.mappers.boxcar.BoxcarMapper method) reverse_rank_order() (in module mvpa.misc.transformers) review RFE (class in mvpa.featsel.rfe) rfe_history_to_maps() (in module mvpa.misc.support) ridge regression RidgeReg (class in mvpa.clfs.ridge) RMSErrorFx (class in mvpa.misc.errorfx) RNG ROCCurve (class in mvpa.clfs.transerror) rocs (mvpa.clfs.transerror.ROCCurve attribute) root_mean_power_fx() (in module mvpa.misc.errorfx) round (numpy.ndarray attribute) RPy, [1] run() (in module mvpa.tests) run_tests_using_nose() (in module mvpa.tests) rv_semifrozen (class in mvpa.clfs.stats)

S

S (mvpa.datasets.base.Dataset attribute) SameSignClassifier (class in mvpa.testing.clfs) sample, [1] Sample Sample attribute sample attribute SampleAttribute (class in mvpa.base.collections) SampleAttributes (class in mvpa.misc.io.base) SampleAttributesCollection (class in mvpa.base.collections) samples (mvpa.datasets.base.HollowSamples attribute) SamplesLookup (class in mvpa.misc.sampleslookup) save() (in module mvpa.base.dataset) (mvpa.base.config.ConfigManager method) (mvpa.base.dataset.AttrDataset method) (mvpa.base.report.Report method) saveload_warehouse() (in module mvpa.testing.datasets) SciPy searchlight, [1] Searchlight (class in mvpa.measures.searchlight) searchsorted (numpy.ndarray attribute) second_axis_mean() (in module mvpa.misc.transformers) seed() (in module mvpa) select_out() (mvpa.mappers.base.CombinedMapper method) select_samples() (mvpa.misc.io.base.ColumnData method) self-organizing map 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) SequenceCollectable (class in mvpa.base.collections) SequenceStats (class in mvpa.datasets.miscfx) set_active_from_string() (mvpa.base.verbosity.SetLogger method) set_hyperparameters() (mvpa.clfs.blr.BLR method) (mvpa.clfs.gpr.GPR method) (mvpa.kernels.np.Matern_3_2Kernel method) (mvpa.kernels.np.RationalQuadraticKernel method) (mvpa.kernels.np.SquaredExponentialKernel method) set_inspace() (mvpa.mappers.base.Mapper method) set_labels_map() (mvpa.clfs.transerror.ConfusionMatrix method) set_length_check() (mvpa.base.collections.SequenceCollectable method) (mvpa.base.collections.UniformLengthCollection method) set_n_per_label() (mvpa.datasets.splitters.Splitter method) set_test_dataset() (mvpa.clfs.meta.FeatureSelectionClassifier method) setfield (numpy.ndarray attribute) setflags (numpy.ndarray attribute) SetLogger (class in mvpa.base.verbosity) sets (mvpa.clfs.transerror.SummaryStatistics attribute) settings SGKernel (class in mvpa.kernels.sg) shape (mvpa.base.dataset.AttrDataset attribute) (mvpa.datasets.base.HollowSamples attribute) (numpy.ndarray attribute) Shogun SigmoidLSKernel (class in mvpa.kernels.libsvm) SillySensitivityAnalyzer (class in mvpa.testing.clfs) Similarity (class in mvpa.clfs.similarity) SimpleSOMMapper (class in mvpa.mappers.som) sin_modulated() (in module mvpa.misc.data_generators) single_or_plural() (in module mvpa.base.dochelpers) SingleDimensionSimilarity (class in mvpa.clfs.similarity) size (numpy.ndarray attribute) skip_if_no_external() (in module mvpa.testing.tools)

SmartVersion (class in mvpa.misc.support) SMLR, [1] (class in mvpa.clfs.smlr) SMLRWeights (class in mvpa.clfs.smlr) smodes (mvpa.misc.fsl.melodic.MelodicResults attribute) SOM sort (numpy.ndarray attribute) source package sparse multinomial logistic regression Spatial Discrimination Map (SDM) Sphere (class in mvpa.misc.neighborhood) sphere_gnbsearchlight() (in module mvpa.measures.gnbsearchlight) sphere_searchlight() (in module mvpa.measures.searchlight) split_dataset() (mvpa.datasets.splitters.Splitter method) split_kwargs() (in module mvpa.misc.args) splitattr (mvpa.datasets.splitters.Splitter attribute) splitcfg() (mvpa.datasets.splitters.Splitter method) SplitClassifier (class in mvpa.clfs.meta) SplitFeaturewiseDatasetMeasure (class in mvpa.measures.base) splitter Splitter (class in mvpa.datasets.splitters) splitter (mvpa.algorithms.cvtranserror.CrossValidatedTransferError attribute) (mvpa.clfs.meta.SplitClassifier attribute) splitting measures squared_euclidean_distance() (in module mvpa.clfs.distance) SquaredExponentialKernel (class in mvpa.kernels.np) squeeze (numpy.ndarray attribute) StaticDatasetMeasure (class in mvpa.measures.base) Statistical Discrimination Map (SDM) Statistical Learning statistical testing stats (mvpa.clfs.transerror.SummaryStatistics attribute) std (numpy.ndarray attribute) steps (mvpa.featsel.helpers.NBackHistoryStopCrit attribute) (mvpa.featsel.helpers.NStepsStopCrit attribute) StoppingCriterion (class in mvpa.featsel.helpers) strategy (mvpa.datasets.splitters.Splitter attribute) StreamlineSimilarity (class in mvpa.clfs.similarity) strides (numpy.ndarray attribute) suggested software sum (numpy.ndarray attribute) sum_of_abs() (in module mvpa.misc.transformers) summaries (mvpa.clfs.transerror.SummaryStatistics attribute) summary() (in module mvpa.datasets.miscfx) (mvpa.base.dataset.AttrDataset method) (mvpa.clfs.base.Classifier method) (mvpa.clfs.meta.CombinedClassifier method) (mvpa.clfs.meta.ProxyClassifier method) (mvpa.clfs.meta.TreeClassifier method) summary_targets() (in module mvpa.datasets.miscfx) (mvpa.base.dataset.AttrDataset method) SummaryStatistics (class in mvpa.clfs.transerror) sumofabs_sample() (in module mvpa.mappers.fx) Supervised Support support vector machine sv (mvpa.mappers.svd.SVDMapper attribute) SVD SVDMapper (class in mvpa.mappers.svd) SVM, [1], [2] swapaxes (numpy.ndarray attribute) sweepargs() (in module mvpa.testing) SWIG syntactic sugaring

T

T (mvpa.datasets.base.Dataset attribute) (numpy.ndarray attribute) t0 (mvpa.datasets.eep.EEPBin attribute) table2string() (in module mvpa.base.dochelpers) tail (mvpa.clfs.stats.NullDist attribute) TailSelector (class in mvpa.featsel.helpers) take (numpy.ndarray attribute) Target targets (mvpa.datasets.base.Dataset attribute) test_all_dependencies() (in module mvpa.base.externals) testdataset (mvpa.clfs.meta.FeatureSelectionClassifier attribute) Testing Dataset text() (mvpa.base.report.Report method) textbook threshold (mvpa.featsel.helpers.FixedErrorThresholdStopCrit attribute) Time-compression tmodes (mvpa.misc.fsl.melodic.MelodicResults attribute) to_events() (mvpa.misc.fsl.base.FslEV3 method) to_literal() (mvpa.misc.attrmap.AttributeMap method) to_numeric() (mvpa.misc.attrmap.AttributeMap method) toarray() (mvpa.misc.bv.base.BrainVoyagerRTC method) (mvpa.misc.fsl.base.McFlirtParams method) todo tofile (numpy.ndarray attribute) 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)

tolist (numpy.ndarray attribute) tostring (numpy.ndarray attribute) tr (mvpa.misc.fsl.melodic.MelodicResults attribute) trace (numpy.ndarray attribute) TraceBack (class in mvpa.base.verbosity) train() (mvpa.clfs.base.Classifier method) (mvpa.clfs.meta.PredictionsCombiner method) (mvpa.mappers.base.CombinedMapper method) (mvpa.mappers.base.Mapper method) (mvpa.misc.neighborhood.CachedQueryEngine method) (mvpa.misc.neighborhood.QueryEngine method) (mvpa.misc.neighborhood.QueryEngineInterface method) (mvpa.misc.neighborhood.Sphere method) trained (mvpa.clfs.base.Classifier attribute) Training Dataset transerror (mvpa.algorithms.cvtranserror.CrossValidatedTransferError attribute) transfer error TransferError (class in mvpa.clfs.transerror) transform_with_boxcar() (in module mvpa.misc.support) transpose (numpy.ndarray attribute) TreeClassifier (class in mvpa.clfs.meta) truevar_per_ic (mvpa.misc.fsl.melodic.MelodicResults attribute) TuebingenMEG (class in mvpa.misc.io.meg) TuebingenMEGSensorLocations (class in mvpa.misc.io.base) Tutorial, [1], [2], [3], [4], [5], [6], [7], [8], [9]

U

Ubuntu UC (mvpa.datasets.base.Dataset attribute) UniformLengthCollection (class in mvpa.base.collections) unique (mvpa.base.collections.SequenceCollectable attribute) unique_combinations() (in module mvpa.misc.support) uniquechunks (mvpa.datasets.base.Dataset attribute) uniquetargets (mvpa.datasets.base.Dataset attribute) unittests univariate untrain() (mvpa.clfs.base.Classifier method) (mvpa.clfs.gnb.GNB method) (mvpa.clfs.gpr.GPR method) (mvpa.clfs.knn.kNN method) (mvpa.clfs.lars.LARS method) (mvpa.clfs.meta.BoostedClassifier method) (mvpa.clfs.meta.ClassifierCombiner method) (mvpa.clfs.meta.CombinedClassifier method) (mvpa.clfs.meta.FeatureSelectionClassifier method) (mvpa.clfs.meta.ProxyClassifier method) (mvpa.clfs.meta.TreeClassifier method) (mvpa.clfs.transerror.ClassifierError method) (mvpa.featsel.base.CombinedFeatureSelection method) (mvpa.featsel.base.FeatureSelection method) (mvpa.featsel.base.FeatureSelectionPipeline method) (mvpa.featsel.base.SensitivityBasedFeatureSelection method) (mvpa.measures.base.BoostedClassifierSensitivityAnalyzer method) (mvpa.measures.base.CombinedFeaturewiseDatasetMeasure method) (mvpa.measures.base.DatasetMeasure method) (mvpa.measures.base.ProxyClassifierSensitivityAnalyzer method) (mvpa.measures.base.Sensitivity method) (mvpa.measures.base.SplitFeaturewiseDatasetMeasure method) (mvpa.misc.neighborhood.CachedQueryEngine method)

update() (mvpa.base.collections.Collection method) UT (mvpa.datasets.base.Dataset attribute)

V

validation data value (mvpa.base.collections.Collectable attribute) (mvpa.misc.param.Parameter attribute) value2idx() (in module mvpa.misc.support) values() (mvpa.misc.attrmap.AttributeMap method) var (mvpa.mappers.mdp_adaptor.PCAMapper attribute) (numpy.ndarray attribute)

Variance1SVFx (class in mvpa.misc.errorfx) verbosity, [1] version_to_tuple() (in module mvpa.misc.support) view (numpy.ndarray attribute) VProperty (class in mvpa.misc.vproperty) vstack() (in module mvpa.base.dataset)

W

Warehouse (class in mvpa.clfs.warehouse) warning, [1] WarningLog (class in mvpa.base) WaveletPacketMapper (class in mvpa.mappers.wavelet) WaveletTransformationMapper (class in mvpa.mappers.wavelet) Weight Vector weights (mvpa.clfs.enet.ENET attribute) (mvpa.clfs.lars.LARS attribute) (mvpa.clfs.smlr.SMLR attribute)

which_set() (mvpa.misc.state.Collection method) Who is using it? Windows Windows installer working data wr1996() (in module mvpa.misc.data_generators) write (mvpa.base.report.Report attribute) WTF (class in mvpa.base.info) wtf() (in module mvpa.base.info)

X

XAVRSensorLocations (class in mvpa.misc.io.base) xml() (mvpa.base.report.Report method)

xunique_combinations() (in module mvpa.misc.support)

Z

zscore() (in module mvpa.mappers.zscore) ZScoreMapper (class in mvpa.mappers.zscore)