Package: modeldb 0.3.0.9000

Max Kuhn

modeldb: Fits Models Inside the Database

Uses 'dplyr' and 'tidyeval' to fit statistical models inside the database. It currently supports KMeans and linear regression models.

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

modeldb_0.3.0.9000.tar.gz
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modeldb.pdf |modeldb.html✨
modeldb/json (API)
NEWS

# Install 'modeldb' in R:
install.packages('modeldb', repos = c('https://tidymodels.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

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

Pkgdown site:https://modeldb.tidymodels.org

On CRAN:

databasedbplyrdplyrggplot2modelingrlangsqltidyevalvisualization

7.59 score 79 stars 62 scripts 276 downloads 6 exports 46 dependencies

Last updated 12 months agofrom:e93e4025f3. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 30 2024
R-4.5-winOKNov 30 2024
R-4.5-linuxOKNov 30 2024
R-4.4-winOKNov 30 2024
R-4.4-macOKNov 30 2024
R-4.3-winOKNov 30 2024
R-4.3-macOKNov 30 2024

Exports:add_dummy_variablesas_parsed_modeldb_calculate_squareslinear_regression_dbplot_kmeanssimple_kmeans_db

Dependencies:clicolorspacecpp11crayondplyrevaluatefansifarvergenericsggplot2gluegtablehighrhmsisobandknitrlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigprettyunitsprogresspurrrR6RColorBrewerrlangscalesstringistringrtibbletidypredicttidyrtidyselectutf8vctrsviridisLitewithrxfunyaml

K Means models

Edgar Ruiz

Rendered fromkmeans.Rmdusingknitr::rmarkdownon Nov 30 2024.

Last update: 2023-10-31
Started: 2018-03-04

Linear regression models

Edgar Ruiz

Rendered fromlinear-regression.Rmdusingknitr::rmarkdownon Nov 30 2024.

Last update: 2023-10-31
Started: 2019-03-02