Testing a fixed value of lambda
Project description
# ISLP
This package collects data sets and various helper functions for ISLP.
## Install instructions
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 `
### Mac OS X
Running in the desired environment, we use pip to install the ISLP package:
`{python} pip install ISLP `
### Windows
See the [python packaging instructions](https://packaging.python.org/en/latest/tutorials/installing-packages/#ensure-you-can-run-pip-from-the-command-line) for a simple way to run pip within Jupyter or IPython.
Alternatively, within a python shell in the environment you want to install ISLP, the following commands should install ISLP:
`{python} import os, sys cmd = f'{sys.executable} -m pip install ISLP' os.system(cmd) `
### 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
`{python} reqs = 'https://raw.githubusercontent.com/intro-stat-learning/ISLP/master/torch_requirements.txt' cmd = f'{sys.executable} -m pip install -r {reqs}' os.system(cmd) `
## Documentation
See the [read the docs page](https://islp.readthedocs.io/en/latest/models.html) for the latest documentation.
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