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mvpa2.kernels.base

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[, ro, index, value, name, doc])	This class shall serve as a representation of a parameter.
PrecomputedKernel([matrix])	Precomputed matrix
SamplesLookup(ds)	Map to translate sample origids into unique indices.