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Add predictions to the data set. A dplyr compatible way to add predictions to a data set.
add_model_predictions(model = NULL, old_data = NULL, new_data = NULL)
A model object from `fit_model`
The data set to which predicted values will be added.
The data set to use for predicting.
A data.frame object with a new column for predicted values
fit_model extract_model_info
fit_model
extract_model_info
# NOT RUN { iris1 <- iris[1:50,] iris2 <- iris[51:100,] lm_model <- fit_model(iris1,"Sepal.Length","Sepal.Width","lm") head(add_model_predictions(lm_model,iris1,iris2)) # }
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