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mvpa2.measures.gnbsearchlightΒΆ
An efficient implementation of searchlight for GNB.
Functions
| borrowkwargs(cls[, methodname, exclude]) | Return a decorator which would borrow docstring for **kwargs |
| inds_to_coo(inds[, shape]) | Dispatcher for conversion to coo |
| lastdim_columnsums_fancy_indexing(a, inds, out) | |
| lastdim_columnsums_spmatrix(a, inds, out) | |
| mean_mismatch_error(predicted, target) | Computes the percentage of mismatches between some target and some predicted values. |
| r_helper(*args) | |
| sphere_gnbsearchlight(gnb, generator[, ...]) | Creates a GNBSearchlight to assess cross-validation |
Classes
| BaseSearchlight(queryengine[, roi_ids, nproc]) | Base class for searchlights. |
| Dataset(samples[, sa, fa, a]) | Generic storage class for datasets with multiple attributes. |
| GNBSearchlight(gnb, generator, qe[, ...]) | Efficient implementation of Gaussian Naive Bayes Searchlight. |
| IndexQueryEngine([sorted]) | Provides efficient query engine for discrete spaces. |
| Sphere(radius[, element_sizes, distance_func]) | N-Dimensional hypersphere. |
| Splitter(attr[, attr_values, count, ...]) | Generator node for dataset splitting. |
