pedrohcgs/islp

ISLP package: data and code for labs

ISLP

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

Install instructions

Mac OS X / Linux

We generally recommend creating a conda environment to isolate any code from other dependencies. The ISLP package does not have unusual dependencies, but this is still good practice. To create a conda environment in a Mac OS X or Linux environment run:

conda create --name islp

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

conda activate islp

Windows

On windows, 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.

Installing ISLP

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

pip install ISLP

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.

Jupyter

Mac OS X

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

pip install jupyterlab

Windows

Either use the same pip command above or install JupyterLab from the Home tab. Ensure that the environment is your islp environment. This information appears near the top left in the Anaconda Home page.

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!