Multivariate Pattern Analysis in Python

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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 This kernel is very useful for any analysis which will retrain or repredict the same data multiple times, as this kernel will avoid recalculating the kernel function.
`ClassWithCollections`([descr]) | Base class for objects which contain any known collection Classes inherited from this class gain ability to access collections and their items as simple attributes.
`CustomKernel`([kernelfunc]) | Custom Kernel defined by an arbitrary function ..
`Kernel`(*args, **kwargs) | Abstract class which calculates a kernel function between datasets Each instance has an internal representation self._k which might be of a different form depending on the intended use.
`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.

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