Balanced Classes

class olympus.datasets.split.balanced_classes.Split(train: numpy.array, valid: numpy.array, test: numpy.array) → None[source]

Bases: object

Returns 3 Splits of the main data set. The splits are indices of the samples inside the data set

Methods

items  
keys  
values  
items()[source]
keys()[source]
values()[source]
olympus.datasets.split.balanced_classes.balanced_random_indices(method, classes, n_points, seed, split_ratio=0.1, **kwargs)[source]