Function reference • easytidymodels

Data Preprocessing
`trainTestSplit()`	Split your data into a training and testing set
`createRecipe()`	Creates recipes to preprocess data set
`cvFolds()`	Creates cross-validation folds
Regression Functions
`knnRegress()`	K-Nearest Neighbors Regression
`linearRegress()`	Linear Regression.
`marsRegress()`	Multi Adaptive Regressive Spline
`rfRegress()`	Random Forest Regression
`svmRegress()`	Support Vector Machine Regression
`xgRegress()`	XGBoost Regression
Classification Functions If multi is in the name, it’s meant to be used only for multiclass classification. If binary is in the name, only meant for binary classification.
`knnClassif()`	K-Nearest Neighbors Classification
`logRegBinary()`	Logistic Regression
`logRegMulti()`	Multinomial Regression
`svmClassif()`	Support Vector Machine Classification
`xgBinaryClassif()`	XGBoost Binary Classification
`xgMultiClassif()`	XGBoost Multiclass Classification

Reference