https://github.com/sol-eng/model-management-python

Model Management with Python in RStudio
https://github.com/sol-eng/model-management-python

Last synced: 5 months ago
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Model Management with Python in RStudio

• Host: GitHub
• URL: https://github.com/sol-eng/model-management-python
• Owner: sol-eng
• License: apache-2.0
• Created: 2020-03-30T15:24:44.000Z (over 6 years ago)
• Default Branch: main
• Last Pushed: 2026-01-14T04:23:40.000Z (6 months ago)
• Last Synced: 2026-01-14T07:31:42.570Z (6 months ago)
• Language: Jupyter Notebook
• Size: 2.33 MB
• Stars: 3
• Watchers: 3
• Forks: 2
• Open Issues: 43
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Model Management with Python and RStudio

## Overview

These example projects demonstrate a full model lifecycle for different versions

of a model that were developed in Python and deployed to

[RStudio Connect](https://www.rstudio.com/products/connect/) using Jupyter

Notebooks, Flask, and Plotly Dash.

![Model Management with RStudio](images/model-management-python.png)

## Analysis

The data set used in this example involves demographic information and payment

history of various customers and whether they defaulted/missed a payment on

their credit accounts.

The example projects include:

* [Model A - Model Training Notebook](https://colorado.rstudio.com/rsc/model-management-python/model-a-train/) [[login]](https://colorado.rstudio.com/rsc/connect/#/apps/5177)

* [Model A - REST API Serving Model Predictions](https://colorado.rstudio.com/rsc/model-management-python/model-a-predict/) [[login]](https://colorado.rstudio.com/rsc/connect/#/apps/5182)

* [Model B - Model Training Notebook](https://colorado.rstudio.com/rsc/model-management-python/model-b-train/) [[login]](https://colorado.rstudio.com/rsc/connect/#/apps/5178)

* [Model B - REST API Serving Model Predictions](https://colorado.rstudio.com/rsc/model-management-python/model-b-predict/) [[login]](https://colorado.rstudio.com/rsc/connect/#/apps/5183)

* [REST API Traffic Router for A/B Testing](https://colorado.rstudio.com/rsc/model-management-python/model-router/) [[login]](https://colorado.rstudio.com/rsc/connect/#/apps/5184)

* [Interactive App to Query and Verify Model Results](https://colorado.rstudio.com/rsc/model-management-python/model-dashboard/) [[login]](https://colorado.rstudio.com/rsc/connect/#/apps/5271)

## RStudio Professional Products

RStudio Server Pro can be used with Jupyter Notebooks and machine learning

packages to develop, train, and score models during development. RStudio Connect

can be used to deploy models and API routers as REST APIs and host published

notebooks with details on model training.

## Documentation

The full example is documented at

https://solutions.rstudio.com/data-science-admin/model-management/python/.