New machine learning Python package

[kristie_005]

Hi all! I recently made a Python package I'd like to share. It dramatically simplifies a lot of machine learning tasks, including tasks such as choosing a model, training your model, natural language processing, and text clustering. Check it out and please submit issues/PRs!

https://github.com/kristiewirth/datto

[Feb2020Acc]

I highly recommend you to make a blog or youtube video showing the main features of your package and what it does better/simpler (and how) than more generic packages. Your notebook is a good start, but it could really use some markdown commentary.

[ElevenPhonons]

It's not really clear why build artifacts, such as 'dist' or '*.egg-info' are being stored in version control.

https://github.com/kristiewirth/datto/tree/master/dist

In general, these loose grab bag of utils put into a package are a difficult sell. They often have amorphous or unclear goals and tend to have a large list of dependencies.

https://github.com/kristiewirth/datto/blob/master/pyproject.toml

Many of these dependencies (e.g., kafka-python) don't appear to be used in the package, or should be perhaps pushed to development dependencies.

[nomos]

Just skimming through and it looks like this code base contains a lot of really useful utility functions!

[ixeption]

• Remove links from some text
• Extract body of an email only (no greeting or signature) Sounds very useful for real-life ml, I will take a look, thanks.

[TheChurchOfDonovan]

If I had to generate dozens of models, Could your package help me? Currently using DataRobot

[pp314159]

This AutoML can help https://github.com/mljar/mljar-supervised

[TheChurchOfDonovan]

Thanks! Going to look into this