Library for ISLP labs
Project description
# ISLP
This package collects data sets and various helper functions for ISLP.
## Install instructions
### Mac OS X / Linux
We generally recommend creating a [conda](https://anaconda.org) 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:
`{python} conda create --name islp `
To run python code in this environment, you must activate it:
`{python} 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:
`{python} pip install ISLP `
### Torch requirements
The ISLP labs use torch and various related packages for the lab on deep learning. The requirements can be found [here](torch_requirements.txt). Alternatively, you can install them directly using pip within a terminal. As above, ensure that you have activated that conda environment (Mac OS or Linux) or started a terminal within that environment from the Anaconda app (Windows).
`{python} pip install -r https://raw.githubusercontent.com/intro-stat-learning/ISLP/main/torch_requirements.txt `
## Jupyter
### Mac OS X
If JupyterLab is not already installed, run the following after having activated your islp environment:
`{python} 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 [read the docs page](https://islp.readthedocs.io/en/latest) for the latest documentation.
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