Man pages for woobe/predictr
My favourite routines for developing and evaluating predictive models in R
| batch_write | Writing data to CSV file in batch mode |
| eval_xgb_kappa | Custom Evaluation Functions for xgboost |
| eval_xgb_rmpse | Custom Evaluation Functions for xgboost |
| get_mode | Getting the mode value |
| multi2ova | Convert multi-class targets into One-vs-All targets |
| normalise | Normalise a data frame or matrix |
| quick_tune | Quick paramemters tuning using caret |
| remove_highcorr | Remove highly correlated predictors |
| select_features | Feature Selection using Caret's Random Forest Approach |
| select_fea_xgb | Feature selection using xgboost |
| SL_train_reg_xgb | Super Learner Training - xgboost |
| split_by_x | Spliting data into training/tuning/holdation based on... |
