Dataset

Base class for all datasets.

All datasets inherit from this class, be they stored in a file or generated on the fly.

Parameters

• task

  Type of task the dataset is meant for. Should be one of: - "Regression" - "Binary classification" - "Multi-class classification" - "Multi-output binary classification" - "Multi-output regression"

• n_features

  Number of features in the dataset.

• n_samples – defaults to None

  Number of samples in the dataset.

• n_classes – defaults to None

  Number of classes in the dataset, only applies to classification datasets.

• n_outputs – defaults to None

  Number of outputs the target is made of, only applies to multi-output datasets.

• sparse – defaults to False

  Whether the dataset is sparse or not.

Attributes

• desc

  Return the description from the docstring.

Methods

take

Iterate over the k samples.

Parameters

• k (int)