Package: tidypredict 0.5

Edgar Ruiz

tidypredict:Run Predictions Inside the Database

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.

Authors:Edgar Ruiz [aut, cre], Max Kuhn [aut]

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NEWS

Peer review:

Bug tracker:https://github.com/tidymodels/tidypredict/issues

On CRAN:

dbplyrdplyrpurrrrlang

10 exports 259 stars 6.05 score 26 dependencies 2 dependents 531 downloads

Last updated 6 months agofrom:87bacbfe54

Exports:acceptable_formulaas_parsed_modelparse_modeltidytidypredict_fittidypredict_intervaltidypredict_sqltidypredict_sql_intervaltidypredict_testtidypredict_to_column

Dependencies:clicpp11dplyrevaluatefansigenericsgluehighrknitrlifecyclemagrittrpillarpkgconfigpurrrR6rlangstringistringrtibbletidyrtidyselectutf8vctrswithrxfunyaml