mvpa2.kernels.baseΒΆ
Base Kernel classes
Functions
is_datasetlike(obj) |
Check if an object looks like a Dataset. |
Classes
CachedKernel([kernel]) |
Kernel which caches all data to avoid duplicate computation |
ClassWithCollections([descr]) |
Base class for objects which contain any known collection |
CustomKernel([kernelfunc]) |
Custom Kernel defined by an arbitrary function |
Kernel(\*args, \*\*kwargs) |
Abstract class which calculates a kernel function between datasets |
NumpyKernel(\*args, \*\*kwargs) |
A Kernel object with internal representation as a 2d numpy array |
Parameter(default[, constraints, ro, index, ...]) |
This class shall serve as a representation of a parameter. |
PrecomputedKernel([matrix]) |
Precomputed matrix |
SamplesLookup(ds) |
Map to translate sample origids into unique indices. |
