sakura.utils.data_transformations.ToBinary

class sakura.utils.data_transformations.ToBinary

Bases: object

Convert input data into binary form (0 or 1) using sklearn Binarizer

To handle floating point error, a threshold (epsilon) is applied to check if the value should be classified as 0 or 1.

Parameters:

  • sample (array-like or sparse matrix) – Input data of shape (n_samples, n_features) to binarize

  • threshold (float, optional) – Values > threshold become 1, others 0, defaults to 1e-6

  • inverse (bool, optional) – Whether to invert binary values (1 → 0, 0 → 1), defaults to False

  • scale_factor (float, optional) – Multiply final output by this value, defaults to 1.0

Returns:

Transformed binarized output data

Return type:

numpy.ndarray or scipy.sparse matrix

Methods