A Python package to solve simple data science problems.
This is a rudimentary library for machine learning with 3 concepts in mind. This library should be:
- easy-to-use
- easy-to-read
- easy-to-interpret
Optimization for efficiency of compute, latency, and memory will not be a priority.
The only external package we will use for modeling will be numpy. Others required are simply to get data into numpy.ndarray format.
This is my first package, so help out and don't hold back on putting in PR's. Thank you!
Installing:
pip install stoltzmaniacRun tests
pytest
Add packages (example with requests):
For development:
poetry add -D requests
For production:
poetry add requests
Build:
poetry build
Publish:
poetry publish
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