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slope 6.0.1
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Cross-validation functionality for SLOPE models. More...


Go to the source code of this file.
Classes | |
| struct | slope::GridResult |
| Stores cross-validation results for a specific set of hyperparameters. More... | |
| struct | slope::CvResult |
| Contains overall results from a cross-validation process. More... | |
| struct | slope::CvConfig |
| Configuration settings for cross-validation. More... | |
Namespaces | |
| namespace | slope |
| Namespace containing SLOPE regression implementation. | |
Functions | |
| template<typename T > | |
| CvResult | slope::crossValidate (Slope model, Eigen::EigenBase< T > &x, const Eigen::MatrixXd &y_in, const CvConfig &config=CvConfig()) |
| Performs cross-validation on a SLOPE model to select optimal hyperparameters. | |
Cross-validation functionality for SLOPE models.
This file provides data structures and functions for performing k-fold cross-validation on SLOPE models to find optimal hyperparameters. It includes functionality for parameter grid searches, fold generation, and result aggregation with support for parallel processing.
Definition in file cv.h.