This content refers to an unreleased development version of PyMVPA

To provide the most recent news and documentation www.pymvpa.org reflects the development 0.6 series of PyMVPA. If you are interested in the documentation of the previous stable 0.4 series of PyMVPA, please visit v04.pymvpa.org.

mvpa.kernels.base

Base Kernel classes

Functions

is_datasetlike(obj)

Check if an object looks like a Dataset.

Classes

CachedKernel(*args, **kwargs[, kernel])	Kernel which caches all data to avoid duplicate computation
ClassWithCollections(**kwargs[, descr])	Base class for objects which contain any known collection
CustomKernel(*args, **kwargs[, 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, **kwargs[, ro, index, ...])	This class shall serve as a representation of a parameter.
PrecomputedKernel(*args, **kwargs[, matrix])	Precomputed matrix
SamplesLookup(ds)	Map to translate sample origids into unique indices.