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mvpa.mappers.zscore

Mapper for data normalization by Z-Scoring.

Functions

accepts_dataset_as_samples(fx)	Decorator to extract samples from Datasets.
borrowkwargs(cls[, methodname, exclude])	Return a decorator which would borrow docstring for **kwargs
get_nsamples_per_attr(dataset, attr)	Returns the number of samples per unique value of a sample attribute.
get_samples_by_attr(dataset, attr, values[, ...])	Return indices of samples given a list of attributes
zscore(ds, **kwargs)	In-place Z-scoring of a Dataset or ndarray.

Classes

Dataset(samples[, sa, fa, a])	Generic storage class for datasets with multiple attributes.
Mapper(**kwargs)	Basic mapper interface definition.
ZScoreMapper(**kwargs[, params, param_est, ...])	Mapper to normalize features (Z-scoring).