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([params, param_est, ...]) | Mapper to normalize features (Z-scoring). |