# 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.