\returns a vector expression of the \a i -th column, * only the meaningful part is returned. * \warning the internal storage must be colum

Returns the size of the ritz eigen pairs \return Eigen::Index Number of pairs

\returns the row index of the current coefficient.

\internal */

\returns the number of coefficients, which is rows()*cols(). * \sa rows(), cols(), SizeAtCompileTime. */

\returns the value of the current coefficient.

Fit the sparse Ising model via SLIDE. Parameters ---------- X : array-like of shape (n_samples, p_features)

* @param train_x sample matrix for training * @param train_y response matrix for training * @param train_weight weight of each sample *

Resizes the matrix to a \a rows x \a cols matrix and initializes it to zero * \sa resizeNonZeros(Index), reserve(), setZero() */

Removes all non zeros */

Clear any existing decomposition * \sa rankUpdate(w,sigma) */

\returns the value of the matrix at position \a i, \a j * This function returns Scalar(0) if the element is an explicit \em zero */

\returns a const pointer to the array of the starting positions of the inner vectors. * This function is aimed at interoperability with other li

FIXME here we could return an expression of the sum

r""" The fit function is used to transfer the information of data and return the fit result. Parameters ----------