# 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 |