`aif360.datasets`.Dataset¶

class aif360.datasets.Dataset(**kwargs)[source]¶

Abstract base class for datasets.

Methods

`copy`	Convenience method to return a copy of this dataset.
`export_dataset`	Save this Dataset to disk.
`split`	Split this dataset into multiple partitions.
`validate_dataset`	Error checking and type validation.

copy(deepcopy=False)[source]¶

Convenience method to return a copy of this dataset.

Parameters:	deepcopy (bool, optional) – `deepcopy()` this dataset if `True`, shallow copy otherwise.
Returns:	Dataset – A new dataset with fields copied from this object and metadata set accordingly.

split(num_or_size_splits, shuffle=False)[source]¶

Split this dataset into multiple partitions.

Parameters:

num_or_size_splits (array or int) – If num_or_size_splits is an int, k, the value is the number of equal-sized folds to make (if k does not evenly divide the dataset these folds are approximately equal-sized). If num_or_size_splits is an array of type int, the values are taken as the indices at which to split the dataset. If the values are floats (< 1.), they are considered to be fractional proportions of the dataset at which to split.
shuffle (bool, optional) – Randomly shuffle the dataset before splitting.

Returns:

list(Dataset) – Splits. Contains k or len(num_or_size_splits) + 1 datasets depending on num_or_size_splits.

aif360.datasets.Dataset¶