ranger_classifier: Train and get predictions from a 2-class random forest...

In artichaud1/tidygrid: A package for Tidy Hyperparameter Tuning

Description

Train and get predictions from a 2-class random forest classifier ('ranger' object).

Usage

ranger_classifier(train_df, target_var, params, eval_df, ...)

Arguments

train_df	Training data.frame.
target_var	Name of the target variable.
params	Parameters passed to the 'ranger' training function.
eval_df	Evaluation data.frame.
...	Additional parameters passed to the 'ranger' training function.

Value

The vector of predictions.

Note

Only binary classification is currently supported.

artichaud1/tidygrid documentation built on May 10, 2019, 9:28 a.m.