cross_val_auc | Cross-validate Model Performance |
fit_glmnet | Fit a regularised logistic regression with 'glmnet' |
fit_nnet | Fit a multilayer perceptron with with 'nnet' |
fit_ranger | Fit a random forest with 'ranger' |
fit_rpart | Fit a decision tree with 'rpart' |
hello | Hello, World! |
hyper_search | Perform a grid-search for the best hyper-parameters |
make_dummies | Internal Utility Functions |
pipe | Pipe operator |
prepare_data | Get a Dataset Ready For Modelling |
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