Package: tidypredict 0.5.1.9000
Emil Hvitfeldt
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:
tidypredict_0.5.1.9000.tar.gz
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tidypredict.pdf |tidypredict.html✨
tidypredict/json (API)
NEWS
| # Install 'tidypredict' in R: |
| install.packages('tidypredict', repos = c('https://tidymodels.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/tidymodels/tidypredict/issues
Pkgdown:https://tidypredict.tidymodels.org
Last updated 2 hours agofrom:0dde432120. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 19 2024 |
| R-4.5-win | OK | Dec 19 2024 |
| R-4.5-linux | OK | Dec 19 2024 |
| R-4.4-win | OK | Dec 19 2024 |
| R-4.4-mac | OK | Dec 19 2024 |
| R-4.3-win | OK | Dec 19 2024 |
| R-4.3-mac | OK | Dec 19 2024 |
Exports:.extract_partykit_classprob.extract_xgb_treesacceptable_formulaas_parsed_modelparse_modeltidytidypredict_fittidypredict_intervaltidypredict_sqltidypredict_sql_intervaltidypredict_testtidypredict_to_column
Dependencies:clicpp11dplyrevaluatefansigenericsgluehighrknitrlifecyclemagrittrpillarpkgconfigpurrrR6rlangstringistringrtibbletidyrtidyselectutf8vctrswithrxfunyaml
Create a regression spec - version 2
Rendered fromregression.Rmdusingknitr::rmarkdownon Dec 19 2024.Last update: 2022-05-31
Started: 2019-07-06
Create a tree spec - version 2
Rendered fromtree.Rmdusingknitr::rmarkdownon Dec 19 2024.Last update: 2022-05-31
Started: 2019-07-06
Cubist models
Rendered fromcubist.Rmdusingknitr::rmarkdownon Dec 19 2024.Last update: 2023-10-31
Started: 2019-07-07
Database write-back
Rendered fromsql.Rmdusingknitr::rmarkdownon Dec 19 2024.Last update: 2023-10-31
Started: 2018-01-02
Generalized Linear Regression
Rendered fromglm.Rmdusingknitr::rmarkdownon Dec 19 2024.Last update: 2023-10-31
Started: 2017-12-27
Linear Regression
Rendered fromlm.Rmdusingknitr::rmarkdownon Dec 19 2024.Last update: 2023-10-31
Started: 2017-12-27
MARS models via the earth package
Rendered frommars.Rmdusingknitr::rmarkdownon Dec 19 2024.Last update: 2023-10-31
Started: 2019-07-07
Non-R Models
Rendered fromnon-r.Rmdusingknitr::rmarkdownon Dec 19 2024.Last update: 2022-05-31
Started: 2019-07-12
Random Forest
Rendered fromrf.Rmdusingknitr::rmarkdownon Dec 19 2024.Last update: 2023-10-31
Started: 2019-07-03
Random Forest, using Ranger
Rendered fromranger.Rmdusingknitr::rmarkdownon Dec 19 2024.Last update: 2023-10-31
Started: 2018-02-20
Save and re-load models
Rendered fromsave.Rmdusingknitr::rmarkdownon Dec 19 2024.Last update: 2022-05-31
Started: 2017-12-30
XGBoost models
Rendered fromxgboost.Rmdusingknitr::rmarkdownon Dec 19 2024.Last update: 2023-10-31
Started: 2019-07-07
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Checks that the formula can be parsed | acceptable_formula |
| Prepares parsed model object | as_parsed_model |
| Converts an R model object into a table. | parse_model |
| Tidy the parsed model results | tidy.pm_regression |
| Returns a Tidy Eval formula to calculate fitted values | tidypredict_fit |
| Returns a Tidy Eval formula to calculate prediction interval. | tidypredict_interval |
| Tests base predict function against tidypredict | tidypredict_test |
| Adds the prediction columns to a piped command set. | tidypredict_to_column |
