mvpa2.kernels.baseΒΆ

Base Kernel classes

Inheritance diagram of mvpa2.kernels.base

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.

NeuroDebian

NITRC-listed