sklearn.utils.sparsefuncs.mean_variance_axis

sklearn.utils.sparsefuncs.mean_variance_axis(X, axis) [source]

Compute mean and variance along an axix on a CSR or CSC matrix

Parameters:	X : CSR or CSC sparse matrix, shape (n_samples, n_features) Input data. axis : int (either 0 or 1) Axis along which the axis should be computed.
Returns:	means : float array with shape (n_features,) Feature-wise means variances : float array with shape (n_features,) Feature-wise variances