Package index • tidypredict

All functions

acceptable_formula(): Checks that the formula can be parsed
as_parsed_model(): Prepares parsed model object
parse_model(): Converts an R model object into a parsed model
set_catboost_categories(): Set categorical feature mappings for CatBoost model
tidy(<pm_regression>): Tidy the parsed model results
tidypredict_combine_trees(): Combine per-tree expressions into a model's prediction
tidypredict_trees() tidypredict_class_trees() tidypredict_class_exprs() tidypredict_n_trees(): Extract model internals as expressions
tidypredict_fit(): Returns a Tidy Eval formula to calculate fitted values
tidypredict_interval(): Returns a Tidy Eval formula to calculate prediction interval.
tidypredict_output_type() tidypredict_outcome_levels() tidypredict_normalized(): Describe what a model's fitted expressions compute
tidypredict_save() tidypredict_load(): Save and re-load a parsed model
tidypredict_sql(): Returns a SQL query with formula to calculate fitted values
tidypredict_sql_interval(): Returns a SQL query with formula to calculate predicted interval
tidypredict_test(): Tests base predict function against tidypredict
tidypredict_to_column(): Adds the prediction columns to a piped command set.