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.

Last updated 19 hours ago

dbplyrdplyrpurrrrlang

10.83 score 258 stars 2 packages 228 scripts 701 downloads

chattr - Interact with Large Language Models in 'RStudio'

Enables user interactivity with large-language models ('LLM') inside the 'RStudio' integrated development environment (IDE). The user can interact with the model using the 'shiny' app included in this package, or directly in the 'R' console. It comes with back-ends for 'OpenAI', 'GitHub' 'Copilot', and 'LlamaGPT'.

Last updated 3 months ago

10.06 score 193 stars 1 packages 52 scripts 1.3k downloads

connections - Integrates with the 'RStudio' Connections Pane and 'pins'

Enables 'DBI' compliant packages to integrate with the 'RStudio' connections pane, and the 'pins' package. It automates the display of schemata, tables, views, as well as the preview of the table's top 1000 records.

Last updated 11 months ago

connection-panedatabase-connectionpinsrstudio

6.77 score 56 stars 1 packages 118 scripts 305 downloads

mall - Run Multiple Large Language Model Predictions Against a Table, or Vectors

Run multiple 'Large Language Model' predictions against a table. The predictions run row-wise over a specified column. It works using a one-shot prompt, along with the current row's content. The prompt that is used will depend of the type of analysis needed.

Last updated 22 days ago

data-sciencedplyrllmpolarspython

5.81 score 36 stars 40 scripts 569 downloads

dbplot - Simplifies Plotting Data Inside Databases

Leverages 'dplyr' to process the calculations of a plot inside a database. This package provides helper functions that abstract the work at three levels: outputs a 'ggplot', outputs the calculations, outputs the formula needed to calculate bins.

Last updated 5 years ago

5.68 score 8 stars 183 scripts 2.2k downloads

pysparklyr - Provides a 'PySpark' Back-End for the 'sparklyr' Package

It enables 'sparklyr' to integrate with 'Spark Connect', and 'Databricks Connect' by providing a wrapper over the 'PySpark' 'python' library.

Last updated 2 months ago

databrickspysparksparkspark-connect

5.45 score 14 stars 10 scripts 596 downloads

sparkxgb - Interface for 'XGBoost' on 'Apache Spark'

A 'sparklyr' <https://spark.posit.co/> extension that provides an R interface for 'XGBoost' <https://github.com/dmlc/xgboost> on 'Apache Spark'. 'XGBoost' is an optimized distributed gradient boosting library.

Last updated 7 months ago

2.23 score 34 scripts 563 downloads