ISLP

This package collects data sets and various helper functions for ISLP.

Install instructions

Mac OS X / Linux

We generally recommend creating a Python environment to isolate any code │ from other dependencies. This is good practice. You can choose between uv (recommended) or conda. │

To create a uv environment in a Mac OS X or Linux environment run:

uv venv 

To run python code in this environment, you must activate it:

source .venv/bin/activate

Installing ISLP

Having completed the steps above, we use pip to install the ISLP package:

uv pip install ISLP

Jupyter

If JupyterLab is not already installed, run the following after having activated your uv environment:

uv pip install jupyterlab

Anaconda App

If not using uv but conda instead, create a Python environment called islp in the Anaconda app. This can be done by selecting Environments on the left hand side of the app's screen. After creating the environment, open a terminal within that environment by clicking on the "Play" button.

The correspnding installation commands for ISLP and Jupyter are:

pip install ISLP jupyterlab

Torch requirements

The ISLP labs use torch and various related packages for the lab on deep learning. The requirements are included in the requirements for ISLP with the exception of those needed for the labs which are included in the requirements for the labs which will be set to the correct versions when a specific git tag is checked out.

Documentation

See the docs for the latest documentation.

Authors

• Jonathan Taylor
• Trevor Hastie
• Gareth James
• Robert Tibshirani
• Daniela Witten

Contributors ✨

Thanks goes to these wonderful people (emoji key):

danielawitten 💻 🖋

trevorhastie 💻 🖋

tibshirani 💻 🖋

This project follows the all-contributors specification. Contributions of any kind welcome!