\internal * Queries and returns the cache sizes in Bytes of the L1, L2, and L3 data caches respectively */

\returns the rank of the matrix of which *this is the complete orthogonal * decomposition. * * \note This method has to determine which pivot

dummy resize function

\returns the number of rows. \sa cols() */

\returns the number of columns */

Give new data, and it returns the prediction accuracy. Parameters ---------- X : array-like, shape(n_samples, p_feat

Compute the pseudo-log-likelihood of X under the fitted Ising model. Parameters ---------- X : array-like of shape (

Sets the max number of threads reserved for Eigen * \sa nbThreads */

\returns the squared norm of the quaternion's coefficients * \sa QuaternionBase::norm(), MatrixBase::squaredNorm() */

///////////////////////////////////////////////////////////////////// Miscellaneous Functions

\returns an equivalent 3x3 rotation matrix. */

Turns the matrix into the uncompressed mode */

--- BUILT-IN FITTING METHOD --- */

Mean Tweedie deviance regression loss.

\returns the value of the rotation angle in radian */

\returns the stored value at index \a key * If the value does not exist, then the value \a defaultValue is returned without any insertion. */

\returns the number of columns grouped by blocks */

* \returns the starting position of the block <id> in the array of values */

* @brief build sequence with all combinations of parameters. */

Transfer categorical variable into dummy variable. Parameters ---------- x: array-like, shape(n,) Data of the categorical va

///////////////////////////////////////////////////////////////////// Integer Related Functions