mvpa2.algorithms.searchlight_hyperalignmentΒΆ

Searchlight-based hyperalignment

Inheritance diagram of mvpa2.algorithms.searchlight_hyperalignment

Functions

compute_feature_scores(datasets[, ...]) Takes a list of datasets and computes a magical feature
expand_contraint_spec(spec) Helper to translate literal contraint specs into functional ones
h5load(filename[, name]) Loads the content of an HDF5 file that has been stored by h5save().
h5save(filename, data[, name, mode, mkdir]) Stores arbitrary data in an HDF5 file.
is_datasetlike(obj) Check if an object looks like a Dataset.
mktemp([suffix, prefix, dir]) User-callable function to return a unique temporary file name.

Classes

AltConstraints(\*constraints) Logical OR for constraints.
ClassWithCollections([descr]) Base class for objects which contain any known collection
Constraint Base class for input value conversion/validation.
Constraints(\*constraints) Logical AND for constraints.
Doi(doi[, key])

Attributes

EnsureBool Ensure that an input is a bool.
EnsureChoice(\*values) Ensure an input is element of a set of possible values
EnsureDType(dtype) Ensure that an input (or several inputs) are of a particular data type.
EnsureFloat() Ensure that an input (or several inputs) are of a data type ‘float’.
EnsureInt() Ensure that an input (or several inputs) are of a data type ‘int’.
EnsureListOf(dtype) Ensure that an input is a list of a particular data type
EnsureNone Ensure an input is of value None
EnsureRange([min, max]) Ensure an input is within a particular range
EnsureStr Ensure an input is a string.
EnsureTupleOf(dtype) Ensure that an input is a tuple of a particular data type
FeatureSelectionHyperalignment([ref_ds, ...]) A helper which brings feature selection and hyperalignment in a single call
FixedNElementTailSelector(nelements, \*\*kwargs) Given a sequence, provide set of IDs for a fixed number of to be selected elements.
Hyperalignment(\*\*kwargs) Align the features across multiple datasets into a common feature space.
IndexQueryEngine([sorted]) Provides efficient query engine for discrete spaces.
Parameter(default[, constraints, ro, index, ...]) This class shall serve as a representation of a parameter.
ProgressBar([start_time, ...]) Simple progress bar in ASCII text
SearchlightHyperalignment(\*\*kwargs) Given a list of datasets, provide a list of mappers into common space using searchlight based hyperalignment.
Sphere(radius[, element_sizes, distance_func]) N-Dimensional hypersphere.
StaticProjectionMapper(proj[, recon]) Mapper to project data onto arbitrary space using transformation given as input.
SurfaceVerticesQueryEngine(voxsel[, space, ...]) Query-engine that maps center nodes to indices of features (voxels) that are near each center node.
coo_matrix(arg1[, shape, dtype, copy]) A sparse matrix in COOrdinate format.
csc_matrix(arg1[, shape, dtype, copy]) Compressed Sparse Column matrix

Exceptions

AltConstraints(\*constraints) Logical OR for constraints.
ClassWithCollections([descr]) Base class for objects which contain any known collection
Constraint Base class for input value conversion/validation.
Constraints(\*constraints) Logical AND for constraints.
Doi(doi[, key])

Attributes

EnsureBool Ensure that an input is a bool.
EnsureChoice(\*values) Ensure an input is element of a set of possible values
EnsureDType(dtype) Ensure that an input (or several inputs) are of a particular data type.
EnsureFloat() Ensure that an input (or several inputs) are of a data type ‘float’.
EnsureInt() Ensure that an input (or several inputs) are of a data type ‘int’.
EnsureListOf(dtype) Ensure that an input is a list of a particular data type
EnsureNone Ensure an input is of value None
EnsureRange([min, max]) Ensure an input is within a particular range
EnsureStr Ensure an input is a string.
EnsureTupleOf(dtype) Ensure that an input is a tuple of a particular data type
FeatureSelectionHyperalignment([ref_ds, ...]) A helper which brings feature selection and hyperalignment in a single call
FixedNElementTailSelector(nelements, \*\*kwargs) Given a sequence, provide set of IDs for a fixed number of to be selected elements.
Hyperalignment(\*\*kwargs) Align the features across multiple datasets into a common feature space.
IndexQueryEngine([sorted]) Provides efficient query engine for discrete spaces.
Parameter(default[, constraints, ro, index, ...]) This class shall serve as a representation of a parameter.
ProgressBar([start_time, ...]) Simple progress bar in ASCII text
SearchlightHyperalignment(\*\*kwargs) Given a list of datasets, provide a list of mappers into common space using searchlight based hyperalignment.
Sphere(radius[, element_sizes, distance_func]) N-Dimensional hypersphere.
StaticProjectionMapper(proj[, recon]) Mapper to project data onto arbitrary space using transformation given as input.
SurfaceVerticesQueryEngine(voxsel[, space, ...]) Query-engine that maps center nodes to indices of features (voxels) that are near each center node.
coo_matrix(arg1[, shape, dtype, copy]) A sparse matrix in COOrdinate format.
csc_matrix(arg1[, shape, dtype, copy]) Compressed Sparse Column matrix