Man pages for PROMiDAT/traineR
Predictive (Classification and Regression) Models Homologator
| categorical.predictive.power | categorical.predictive.power |
| confusion.matrix | confusion.matrix |
| contr.dummy | contr.dummy |
| contr.metric | contr.metric |
| contr.ordinal | contr.ordinal |
| create.model | create.model |
| create.prediction | create.prediction |
| dummy.data.frame | dummy.data.frame |
| general.indexes | general.indexes |
| get.default.parameters | get.default.parameters |
| get_test_less_predict | get_test_less_predict |
| gg_color | gg_color |
| importance.plot | importance.plot |
| max_col | max_col |
| numerical.predictive.power | numerical.predictive.power |
| numeric_to_predict | numeric_to_predict |
| original_model | original_model |
| plot.prmdt | Plotting prmdt models |
| predict.adabag.prmdt | predict.adabag.prmdt |
| predict.ada.prmdt | predict.ada.prmdt |
| predict.bayes.prmdt | predict.bayes.prmdt |
| predict.gbm.prmdt | predict.gbm.prmdt |
| predict.glmnet.prmdt | predict.glmnet.prmdt |
| predict.glm.prmdt | predict.glm.prmdt |
| prediction.variable.balance | prediction.variable.balance |
| predict.knn.prmdt | predict.knn.prmdt |
| predict.lda.prmdt | predict.lda.prmdt |
| predict.neuralnet.prmdt | predict.neuralnet.prmdt |
| predict.nnet.prmdt | predict.nnet.prmdt |
| predict.qda.prmdt | predict.qda.prmdt |
| predict.randomForest.prmdt | predict.randomForest.prmdt |
| predict.rpart.prmdt | predict.rpart.prmdt |
| predict.svm.prmdt | predict.svm.prmdt |
| predict.xgb.Booster.prmdt | predict.xgb.Booster |
| print.indexes.prmdt | Printing prmdt index object |
| print.prediction.prmdt | Printing prmdt prediction object |
| print.prmdt | Printing prmdt models |
| ROC.area | ROC.area |
| ROC.plot | ROC.plot |
| scaler | scaler |
| select_on_class | select_on_class |
| train.ada | train.ada |
| train.adabag | train.adabag |
| train.bayes | train.bayes |
| traineR | Predictive (Classification and Regression) Models Homologator |
| train.gbm | train.gbm |
| train.glm | train.glm |
| train.glmnet | train.glmnet |
| train.knn | train.knn |
| train.lda | train.lda |
| train.neuralnet | train.neuralnet |
| train.nnet | train.nnet |
| train.qda | train.qda |
| train.randomForest | train.randomForest |
| train.rpart | train.rpart |
| train.svm | train.svm |
| train.xgboost | train.xgboost |
| type_correction | type_correction |
| varplot | Plotting prmdt ada models |
