Predict on a dataset using a trained tundraContainer.

predict(dataframe, predict_args = list(), verbose = FALSE, munge = TRUE)

Arguments

dataframe	data.frame. The dataset to generate predictions on with the trained model. The data will be preprocessed with the `tundraContainer`'s trained `munge_procedure` and then passed as the first argument to the `tundraContainer`'s `predict_function`.
predict_args	list. A list of arguments to pass to the `tundraContainer`'s `predict_function` as its second argument.
verbose	logical. Either `TRUE` or `FALSE`, by default the latter. If `TRUE`, then output produced by running the `munge_procedure` or the `predict_function` will not be silenced.
munge	logical. Either `TRUE` or `FALSE`, by default the former. If `TRUE`, the `munge_procedure` provided to the container during initialization will be used to preprocess the given `dataframe`.

The value returned by the tundraContainer's predict_function, usually a numeric vector or data.frame of predictions.