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cynkra
dm:Relational Data Models
Provides tools for working with multiple related tables, stored as data frames or in a relational database. Multiple tables (data and metadata) are stored in a compound object, which can then be manipulated with a pipe-friendly syntax.
Maintained by Kirill Müller. Last updated 3 months ago.
data-modeldata-warehousingdatawarehousingdbidbplyrrelational-databases
511 stars 14.81 score 410 scripts 8 dependents
tidymodels
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.
Maintained by Emil Hvitfeldt. Last updated 3 months ago.
262 stars 11.05 score 241 scripts 2 dependentstidymodels
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.
Maintained by Max Kuhn. Last updated 1 years ago.
databasedbplyrdplyrggplot2modelingrlangsqltidyevalvisualization
80 stars 7.60 score 62 scripts
