Base Kernel classes

Inheritance diagram of mvpa2.kernels.base


is_datasetlike(obj) Check if an object looks like a Dataset.


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.