Man pages for hal9001
The Scalable Highly Adaptive Lasso
| apply_copy_map | Apply copy map |
| as_dgCMatrix | Fast Coercion to Sparse Matrix |
| basis_list_cols | List Basis Functions |
| basis_of_degree | Compute Degree of Basis Functions |
| cv_lasso | Cross-validated Lasso on Indicator Bases |
| cv_lasso_early_stopping | Cross-validated LASSO on Indicator Bases |
| enumerate_basis | Enumerate Basis Functions |
| evaluate_basis | Generate Basis Functions |
| fit_hal | HAL: The Highly Adaptive Lasso |
| hal9000 | HAL 9000 Quotes |
| hal9001 | hal9001 |
| hal_quotes | HAL9000 Quotes from "2001: A Space Odyssey" |
| index_first_copy | Find Copies of Columns |
| lassi | Custom Lasso implementation for matrices of indicator... |
| lassi_fit_module | Rcpp module: lassi_fit_module |
| lassi_origami | Single Lasso estimation for cross-validation with Origami |
| make_basis_list | Sort Basis Functions |
| make_copy_map | Build Copy Maps |
| make_design_matrix | Build HAL Design Matrix |
| make_reduced_basis_map | Mass-based reduction of basis functions |
| meets_basis | Compute Values of Basis Functions |
| predict.hal9001 | Prediction from HAL fits |
| predict.lassi | Predict Method for Lasso on Indicator Bases |
| predict.SL.hal9001 | predict.SL.hal9001 |
| SL.hal9001 | Wrapper for Classic SuperLearner |
| squash_hal_fit | Squash HAL objects |
