Gaussian¶

class olympus.datasets.gaussian.Gaussian(size, distributions)[source]¶

Attributes:	`classes` Return the mapping between samples index and their class collate_fn dataset `input_shape` Return the size of the samples `target_shape` Return the size of the target `test_size` Size of the test set `train_size` Size of the training set `valid_size` Size of the validation set

Methods

`categories`()	Dataset tags so we can filter what we want depending on the task
`transforms`(sample)

generate

class olympus.datasets.gaussian.Multivariate(mean: List = <factory>, sd: List = <factory>)[source]¶: Bases: object