Implementation of the Searchlight algorithm
Functions
borrowkwargs(cls[, methodname, exclude]) | Return a decorator which would borrow docstring for **kwargs |
hstack(datasets) | Stacks datasets horizontally (appending features). |
is_datasetlike(obj) | Check if an object looks like a Dataset. |
sphere_searchlight(datameasure, **kwargs[, ...]) | Creates a Searchlight to run a scalar Measure on |
Classes
BaseSearchlight(queryengine, **kwargs[, ...]) | Base class for searchlights. |
ConditionalAttribute(*args, **kwargs[, enabled]) | Simple container intended to conditionally store the value |
Dataset(samples[, sa, fa, a]) | Generic storage class for datasets with multiple attributes. |
IndexQueryEngine(**kwargs[, sorted]) | Provides efficient query engine for discrete spaces. |
Measure(**kwargs[, null_dist]) | A measure computed from a Dataset |
Searchlight(datameasure, queryengine, **kwargs) | The implementation of a generic searchlight measure. |
Sphere(radius[, element_sizes, distance_func]) | N-Dimensional hypersphere. |
StaticFeatureSelection(slicearg, **kwargs[, ...]) | Feature selection by static slicing argument. |