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slope 6.5.4
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Diagnostics for SLOPE optimization. More...
#include "jit_normalization.h"#include "losses/loss.h"#include "math.h"#include "ols.h"#include "sorted_l1_norm.h"#include <Eigen/Dense>#include <Eigen/SparseCore>#include <algorithm>#include <memory>

Go to the source code of this file.
Namespaces | |
| namespace | slope |
| Namespace containing SLOPE regression implementation. | |
Functions | |
| template<typename MatrixType > | |
| double | slope::computeDualFromPoint (const Eigen::VectorXd &beta, Eigen::MatrixXd theta, const std::unique_ptr< Loss > &loss, const SortedL1Norm &sl1_norm, const Eigen::ArrayXd &lambda, const MatrixType &x, const Eigen::MatrixXd &y, const Eigen::VectorXd &x_centers, const Eigen::VectorXd &x_scales, const JitNormalization &jit_normalization) |
| Scales a candidate into the SLOPE dual constraint and evaluates it. | |
| template<typename MatrixType > | |
| double | slope::computeDual (const Eigen::VectorXd &beta, const Eigen::MatrixXd &eta, const std::unique_ptr< Loss > &loss, const SortedL1Norm &sl1_norm, const Eigen::ArrayXd &lambda, const MatrixType &x, const Eigen::MatrixXd &y, const Eigen::VectorXd &x_centers, const Eigen::VectorXd &x_scales, const JitNormalization &jit_normalization, const bool intercept) |
| Computes the dual objective function value for SLOPE optimization. | |
Diagnostics for SLOPE optimization.
Definition in file diagnostics.h.