Multivariate Pattern Analysis in Python

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# mvpa2.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` :Parameters: methodname : None or str Name of the method from which to borrow.
`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`([params, param_est, ...]) | Mapper to normalize features (Z-scoring).

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