Skip to content

A Django wrapper that can be used for building web apps for Machine Learning projects.

Notifications You must be signed in to change notification settings

MexsonFernandes/Boilerplate-for-Django-ML-Model-Deployment

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

13 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Boilerplate for Django Machine Learning Model Deployment

HitCount

Buy Me a Coffee at ko-fi.com

Technology stack:

  • Django (Python web framework)
  • R

Get started:

  • Make sure you have R installed in your system

    • Install R dependencies.

      install.packages('nnet')

  • Make sure that you are able to execute Rscript command from terminal or command prompt.

Start server:

  • Create or start virtual environment using pipenv.

    pipenv shell

  • Install dependencies.

    pip install -r requirements.txt

  • Start dummy email server or add your config in settings file.

    python -m smtpd -n -DebuggingServer localhost:1025

  • Start Django server.

    python manage.py runserver

About

A Django wrapper that can be used for building web apps for Machine Learning projects.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published