Man pages for gbm-developers/gbm3
Generalized Boosted Regression Models
| available_distributions | Available Distributions |
| baseline_hazard | Baseline hazard function |
| calibrate_plot | Calibration plot |
| create_dist | Create distributions |
| distribution_name | What is the distribution name used here? |
| gbm | Generalized Boosted Regression Modeling |
| gbm_dist | GBM Distribution |
| gbm_more | Perform additional boosting |
| gbm_object | Generalized Boosted Regression Model Object |
| gbm-package | Generalized Boosted Regression Models |
| gbmParallel | Control parallelization options |
| gbm.perf | GBMT Performance |
| gbm_roc_area | Compute Information Retrieval measures. |
| gbmt | GBMT |
| gbmt_fit | GBMT fit |
| gbmt_performance | Get performance details for gbm fit |
| interact | Estimate the strength of interaction effects |
| iteration_error | Extract errors from GBMFit objects |
| perf_pairwise | Performance for pairwise |
| permutation_relative_influence | Relative influence via permutation |
| plot.GBMFit | Marginal plots of fitted gbm objects |
| plot.GBMTPerformance | Plot GBM performance details |
| predict.GBMCVFit | Predictions for CV fitted GBM models |
| predict.GBMFit | Predict method for GBM Model Fits |
| pretty_gbm_tree | Print gbm tree components |
| print.GBMFit | Print model summary |
| quantile_rug | Quantile rug plot |
| relative_influence | Methods for estimating relative influence |
| summary.GBMFit | Summary of a GBMFit object |
| to_old_gbm | Convert GBMFit to previous gbm object |
| training_params | Training parameters |
| trees | Extract trees from GBMFit objects |
