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 stoltzmaniac
Run tests
pytest
Add packages (example with requests):
For development:
poetry add -D requests
For production:
poetry add requests
Build:
poetry build
Publish:
poetry publish