An R model or a list with a parsed model. It currently supports
lm(), glm() and randomForest() models.
df
A data frame that contains all of the needed fields to run the prediction.
It defaults to the "model" data frame object inside the model object.
threshold
The number that a given result difference, between predict() and
tidypredict_to_column() should not exceed. For continuous predictions, the default
value is 0.000000000001 (1e-12), for categorical predictions, the default value is
0.
include_intervals
Switch to indicate if the prediction intervals should be
included in the test. It defaults to FALSE.
max_rows
The number of rows in the object passed in the df argument. Highly
recommended for large data sets.
xg_df
A xgb.DMatrix object, required only for XGBoost models. It defaults to
NULL
recommended for large data sets.