Mean Tweedie deviance regression loss. Read more in the :ref:`User Guide <mean_tweedie_deviance>`. Parameters ---------- y_true : arra

minval is 'safe' meaning 1 / minval does not overflow

get/set the "noisyness" (verbosity) of the solvers */

\returns the total number of nonzero elements, including eventual explicit zeros in blocks */

\returns the number of non zero coefficients * * \note According to the underlying map/hash_map implementation, * this function migh

\returns the number of non zero coefficients */

\returns the number of singular values that are not exactly 0 */

* Return the number of supernodes */

\returns the size of the storage major dimension, * i.e., the number of columns for a columns major matrix, and the number of rows otherwise */

\returns the pointer increment between two consecutive inner slices (for example, between two consecutive columns * in a column-major m

parallelFor executes f with [0, n) arguments in parallel and waits for completion. F accepts a half-open interval [first, last). Block size is choosen

r""" Return the most possible class label (start from 0) for given data. Parameters ---------- X : array-like, shape(