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 |
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http://scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs.mean_variance_axis.html