Package: modeldb 0.3.1.9000

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:
modeldb_0.3.1.9000.tar.gz
modeldb_0.3.1.9000.zip(r-4.7)modeldb_0.3.1.9000.zip(r-4.6)modeldb_0.3.1.9000.zip(r-4.5)
modeldb_0.3.1.9000.tgz(r-4.6-any)modeldb_0.3.1.9000.tgz(r-4.5-any)
modeldb_0.3.1.9000.tar.gz(r-4.7-any)modeldb_0.3.1.9000.tar.gz(r-4.6-any)
modeldb_0.3.1.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
modeldb/json (API)
| # Install 'modeldb' in R: |
| install.packages('modeldb', repos = c('https://tidymodels.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/tidymodels/modeldb/issues
Pkgdown/docs site:https://modeldb.tidymodels.org
databasedbplyrdplyrggplot2modelingrlangsqltidyevalvisualization
Last updated from:5d92529856. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 157 | ||
| source / vignettes | OK | 231 | ||
| linux-release-x86_64 | OK | 150 | ||
| macos-release-arm64 | OK | 127 | ||
| macos-oldrel-arm64 | OK | 78 | ||
| windows-devel | OK | 106 | ||
| windows-release | OK | 97 | ||
| windows-oldrel | OK | 254 | ||
| wasm-release | OK | 134 |
Exports:add_dummy_variablesas_parsed_modeldb_calculate_squareslinear_regression_dbplot_kmeanssimple_kmeans_db
Dependencies:clicpp11crayondplyrevaluatefarvergenericsggplot2gluegtablehighrhmsisobandjsonliteknitrlabelinglifecyclemagrittrpillarpkgconfigprettyunitsprogresspurrrR6RColorBrewerrlangS7scalesstringistringrtibbletidypredicttidyrtidyselectutf8vctrsviridisLitewithrxfunyaml
Last update: 2023-10-31
Started: 2019-03-02
Last update: 2023-10-31
Started: 2018-03-04
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Creates dummy variables | add_dummy_variables |
| Prepares parsed model object | as_parsed_model.modeldb_lm |
| Fits a Linear Regression model | linear_regression_db |
| Visualize a KMeans Cluster with lots of data | db_calculate_squares plot_kmeans |
| Simple kmeans routine that works in-database | simple_kmeans_db |
