Expand description
Functional APIs for preprocessing
This module provides functional APIs that directly transform data without needing to create and fit transformer objects.
Functionsยง
- add_
dummy_ feature - Add a dummy feature to the data
- binarize
- Boolean thresholding of array-like or scipy.sparse matrix
- label_
binarize - Binarize labels in a one-vs-all fashion
- maxabs_
scale - Scale each feature by its maximum absolute value
- minmax_
scale - Transform features to range [0, 1]
- normalize
- Scale samples individually to unit norm
- robust_
scale - Scale features using statistics that are robust to outliers
- scale
- Standardize a dataset along any axis