We have moved to https://codeberg.org/KOLANICH-ML/Chassis.py, grab new versions there.
Under the disguise of "better security" Micro$oft-owned GitHub has discriminated users of 1FA passwords while having commercial interest in success and wide adoption of FIDO 1FA specifications and Windows Hello implementation which it promotes as a replacement for passwords. It will result in dire consequencies and is competely inacceptable, read why.
If you don't want to participate in harming yourself, it is recommended to follow the lead and migrate somewhere away of GitHub and Micro$oft. Here is the list of alternatives and rationales to do it. If they delete the discussion, there are certain well-known places where you can get a copy of it. Read why you should also leave GitHub.
This is the library to transform a pandas.DataFrame into another DataFrame suitable for machine learning. It's my own reinvention of a wheel formulaic
It solves the following drawbacks of patsy:
- unpredictability
- the column names are changed in unpredictable way depending on content of dataframe you pass to it. You also cannot retrive the names and have to write very dirty code. Here you can retrieve columns by names.
- The content is often shit
patsydecides that we need it. For example it can remove a column if it finds them linearry dependent. Such matrices are not suitable to all the ML algorithms and currently there is no way to disable such a behavior. - lack of automation - I have to do everything myself: construct expression and evaluate it.
