This function prepares data, fits the appropriate models and returns the resulting estimates in a standardized format.
fit_plugin(full_data, weight_col, outcome_col, ..., .Model_cfg)The full dataset of interest for the modelling problem.
The unquoted weighting variable name to use in model fitting.
The unquoted column name to use as a label for the supervised learning problem.
The unquoted names of covariates to use in the model.
A Model_cfg object configuring the appropriate model type to use.
A new Predictor object of the appropriate subclass corresponding to the
Model_cfg fit to the data.