sklearn.utils.sparsefuncs.inplace_column_scale¶
- sklearn.utils.sparsefuncs.inplace_column_scale(X, scale)[source]¶
Inplace column scaling of a CSC/CSR matrix.
Scale each feature of the data matrix by multiplying with specific scale provided by the caller assuming a (n_samples, n_features) shape.
- Parameters
- Xsparse matrix of shape (n_samples, n_features)
Matrix to normalize using the variance of the features. It should be of CSC or CSR format.
- scalendarray of shape (n_features,), dtype={np.float32, np.float64}
Array of precomputed feature-wise values to use for scaling.