Run Predictions Inside the Database

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Documentation for package ‘tidypredict’ version 1.2.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

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_class_exprs	Extract model internals as expressions
tidypredict_class_trees	Extract model internals as expressions
tidypredict_combine_trees	Combine per-tree expressions into a model's prediction
tidypredict_extractors	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_load	Save and re-load a parsed model
tidypredict_metadata	Describe what a model's fitted expressions compute
tidypredict_normalized	Describe what a model's fitted expressions compute
tidypredict_n_trees	Extract model internals as expressions
tidypredict_outcome_levels	Describe what a model's fitted expressions compute
tidypredict_output_type	Describe what a model's fitted expressions compute
tidypredict_save	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.
tidypredict_trees	Extract model internals as expressions