r""" Give the probabilities of new sample being assigned to different classes. Parameters ---------- X : arra

\copydoc SparseMatrix::prune(const Scalar&,const RealScalar&) */

Suppresses all nonzeros which are \b much \b smaller \b than \a reference under the tolerence \a epsilon */

workaround MSVC std::list implementation

* Gets the rank of the matrix. * It should be equal to matrixQR().cols if the matrix is full-rank */

\returns the number of non linearly dependent columns as determined by the pivoting threshold. * * \sa setPivotThreshold() */

Resizes to given size. */

Implicitly restarted Arnoldi factorization

* Return the array of compressed row indices of all supernodes */

* Number of rows */

Return the number of rows of the underlying matrix.

Return the number of rows of the underlying matrix.

Return the number of rows of the underlying matrix.

Return the number of rows of the underlying matrix.

Return the number of rows of the underlying matrix.

\returns a random point inside the bounding box sampled with * a uniform distribution */

\returns the largest \c k such that for all \c j in [0,k) index[\c j]\<\a key */

Specifies a sub-vector to work on */

Set the cpu L1 and L2 cache sizes (in bytes). * These values are use to adjust the size of the blocks * for the algorithms working per blocks. *

Sets the step bound for the diagonal shift */

* Set appropriate pointers for the lower triangular supernodal matrix * These infos are available at the end of the numerical factorization

Add custom configuration to sphinx app. Args: app: the Sphinx application Returns: the 2 parralel parameters set to ``True``.

Create initial search space based on the diagonal and the spectrum'target (highest or lowest) \param selection Spectrum section to target (e.g. lowes

///////////////////////////////////////////////////////////////////// Set/Get number properties

\returns the rotation angle in [-pi,pi] */