Man pages for mikeniemant/nbs
What the Package Does (One Line, Title Case)
| computeBaseNetBenefit | Compute base net benefit |
| computeCalibration | Compute calibration |
| computeCvAUC | Compute Cross Validation Area Under the Curve |
| computeNetBenefit | Compute net benefit |
| countPerc | Count and percentage |
| createFolds | Create Folds |
| cws | Clean Work Space |
| dlcvBoruta | DLCV Boruta |
| dlcvInner | Double Loop Cross Validation (DLCV) Inner |
| dlcvInnerL1Glmnet | L1 tidymodels |
| dlcvKnn | DLCV K-Nearest Neighbours With Hyperparameter Optimization |
| dlcvKnnNoHp | DLCV K-Nearest Neighbours No Hyperparameter Optimization |
| dlcvL1 | Double Loop Cross Validation L1 |
| dlcvLr | Double Loop Cross Validation Linear Regression |
| dlcvOuter | Double Loop Cross Validation (DLCV) Outer |
| dlcvRf | DLCV Random Forest With Hyperparameter Optimization |
| dlcvRfNoHp | DLCV Random Forest No Hyperparameter Optimization |
| dlcvSvm | DLCV Support Vector Machine Hyperparameter Optimization |
| dlcvSvmNoHp | DLCV Support Vector Machine No Hyperparameter Optimization |
| findTodo | Find todos |
| fipBoruta | Feature importance Boruta DLCV |
| fipL1 | Feature importance L1 DLCV |
| fipLr | Feature importance Linear Regression |
| multi_model_tibble | Multi Model Tibble |
| objSize | Object Size |
| pipe | Pipe operator |
| plotCalibration | Plot calibration |
| plotDisMet | Plot Discriminative Metrics |
| plotPrc | Plot Precision Recall Curve |
| plotRoc | Plot Receiver Operator Curve |
| replacePattern | Replace Pattern |
| single_model_tibble | Single Model Tibble |
| summarizeFunc | Summarize Function |
