Adaptive and Automatic Gradient Boosting Computations
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Documentation for package ‘agtboost’ version 0.9.3
- DESCRIPTION file.
- Code demos. Use demo() to run them.
- Package NEWS.
Help Pages
| agtboost | Adaptive and automatic gradient boosting computations. |
| caravan.test | The Insurance Company (TIC) Benchmark |
| caravan.train | The Insurance Company (TIC) Benchmark |
| gbt.complexity | Return complexity of model in terms of hyperparameters. |
| gbt.convergence | Convergence of agtboost model. |
| gbt.importance | Importance of features in a model. |
| gbt.ksval | Kolmogorov-Smirnov validation of model |
| gbt.load | Load an aGTBoost Model |
| gbt.save | Save an aGTBoost Model |
| gbt.train | aGTBoost Training. |
| predict.Rcpp_ENSEMBLE | aGTBoost Prediction |
| predict.Rcpp_GBT_COUNT_AUTO | aGTBoost Count-Regression Auto Prediction |