Putting guardrails around sklearn.
Training Wheels is a package designed to help students avoid typical beginner's mistakes when learning sklearn. In a complex machine learning library there are an infinite number of ways to shoot yourself in the foot. Training Wheels provides tools that helps you learn about models safely, programmatically warning you if you're broken any assumptions the model relies on.
Create a python 3.9 virtual environment with your preferred software. We recommend using conda.
conda create -n training_wheels python=3.9
conda activate training_wheels
Now that your virtual env is working, you'll need to install dependencies. To download
training_wheel's dependencies, run pip install -r dev_requirements.txt. Then, to
install training_wheels itself, run pip install -e . in the same directory that
setup.py lives in.
We use pytest as our testing framework. Run make tests to run our test suite. Tests
should be run anytime a branch is merged with main.
hello world