mvpa2.algorithms.searchlight_hyperalignmentΒΆ
Searchlight-based hyperalignment
Functions
Doi(\*args, \*\*kwargs) |
Perform no good and no bad |
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. |
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. |
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 |
