Man pages for creggian/bcpanel
| as_charnum | As charnum |
| auc | it returns a dataframe with auc performances |
| bcp | bcp |
| boruta_fs_callback | Boruta feature selection callback |
| corr_fs_callback | Correlation feature selection callback |
| ctree_model | ctree model callback |
| ctree_predict | ctree predict callback |
| cv | Cross validation function |
| dolapply | Combining do.call and lapply functions in one |
| gbm3_model | gbm3 model callback |
| gbm3_predict | gbm3 predict callback |
| get_formula | get formula |
| glm_model | glm model callback |
| glm_predict | glm predict callback |
| knn_model | knn model callback |
| knn_predict | knn predict callback |
| lda_model | lda model callback |
| lda_predict | lda predict callback |
| majority_undersampling | Majoirty undersampling strategy |
| majority_undersampling_bool | Majority undersampling booleans |
| mRMRe_fs_callback | mRMRe feature selection callback |
| nb_model | nb model callback |
| nb_predict | nb predict callback |
| nnet_model | nnet model callback |
| nnet_predict | nnet predict callback |
| plot.performance | Plotting performance |
| plot.roc | it plots ROC curves |
| rf_model | rf model callback |
| rf_predict | rf predict callback |
| rpart_model | rpart model callback |
| rpart_predict | rpart predict callback |
| scale_this | Scaling function |
| svm_model | svm model callback |
| svm_predict | svm predict callback |
| table.performance | Table performance |
| xgboost_model | xgboost model callback |
| xgboost_predict | xgboost predict callback |
