A repository made for ICS 435 - Machine Learning.
Below can be found instructions on how to configure your environment to execute code in the Jupyter notebooks and the code in the ml package.
You will need pipenv installed.
If you have pip3 installed, you can use
pip3 install pipenv
or
pip install pipenv
Installing all the packages in a virtual environment with pipenv is very easy. Simply type
pipenv install
Next you will need to setup Jupyter Notebook in your environment. To do this, type
pipenv shell
python -m ipykernel install --user --name=my-virtualenv-name
Where my-virtualenv-name can be found to the left of your terminal prompt after entering the pipenv shell. Once this is done, you can now execute code blocks in the notebooks with Jupyter Notebook from within the pipenv shell!