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 |
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