Demo project for mlserve (https://github.com/ml-libs/mlserve) deployed on heroku.
- Prediction of fake instagram users based on public profile.
- Iris species classification, using on dataset from sklearn.
- Toxic comment classification, bases on kaggle dataset.
Execute following commands:
$ pip install git+https://github.com/ml-libs/mlserve.git $ heroku create $ git push heroku master $ heroku logs --tail $ heroku open
Sometimes it is useful to purge pip caches to force app to use new library:
$ heroku plugins:install heroku-repo $ heroku repo:purge_cache -a appname $ git commit --allow-empty -m "Purge cache" $ git push heroku master
https://help.heroku.com/18PI5RSY/how-do-i-clear-the-build-cache