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 |
