tidypredict0.5 package

Run Predictions Inside the Database

acceptable_formula

Checks that the formula can be parsed

as_parsed_model

Prepares parsed model object

knit_print.tidypredict_test

Knit print method for test predictions results

parse_model

Converts an R model object into a table.

print.tidypredict_test

print method for test predictions results

reexports

Objects exported from other packages

tidy.pm_regression

Tidy the parsed model results

tidypredict-package

tidypredict: Run Predictions Inside the Database

tidypredict_fit

Returns a Tidy Eval formula to calculate fitted values

tidypredict_interval

Returns a Tidy Eval formula to calculate prediction interval.

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.

Download source packageRead PDF manual

It parses a fitted 'R' model object, and returns a formula in 'Tidy Eval' code that calculates the predictions. It works with several databases back-ends because it leverages 'dplyr' and 'dbplyr' for the final 'SQL' translation of the algorithm. It currently supports lm(), glm(), randomForest(), ranger(), earth(), xgb.Booster.complete(), cubist(), and ctree() models.

  • Maintainer: Edgar Ruiz
  • License: MIT + file LICENSE
  • Last published: 2023-01-18

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