pyqrack.stats

Submodules

Functions

quantize_by_range(data, feature_indices, bits)

Discretize selected features of a dataset into binary variables using numpy.linspace binning.

Package Contents

pyqrack.stats.quantize_by_range(data, feature_indices, bits)

Discretize selected features of a dataset into binary variables using numpy.linspace binning.

Parameters:

  • data (np.ndarray) – Input data of shape (n_samples, n_features).

  • feature_indices (list[int]) – Indices of features to discretize.

  • bits (int) – Number of bits to represent each discretized feature (e.g., 2 bits = 4 quantiles).

Returns:

Transformed data with selected features replaced by binary bit columns.

Return type:

np.ndarray