Man pages for TSLA
Tree-Guided Rare Feature Selection and Logic Aggregation
| cal2norm | Calculate group norms |
| ClassificationExample | Synthesic for the classification example |
| coef_TSLA | Get coefficients from a fitted TSLA model |
| cv.TSLA | Cross validation for TSLA |
| getaggr | Generate aggregated features |
| getetmat | Tree-guided expansion |
| getperform | Get performance metrics for classification |
| get_tree_object | Tree-guided reparameterization |
| plot_TSLA | Plot aggregated structure |
| predict_cvTSLA | Prediction from cross validation |
| predict_TSLA | Prediction from TSLA with new data |
| RegressionExample | Synthesic for the regression example |
| TSLA.fit | Solve the TSLA optimization problem |
| TSLA-package | Tree-Guided Rare Feature Selection and Logic Aggregation |
