Interpretable-Machine-Learning-with-Python-2E

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Interpretable ML with Python, 2E - published by Packt

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setup.py

# Installation Guide

1. Get the code

git clone https://github.com/PacktPublishing/Interpretable-Machine-Learning-with-Python-2E

Downloads the entire project code from GitHub to your computer.

cd Interpretable-Machine-Learning-with-Python-2E

Moves into the project folder you just downloaded.

2. Python

Easy Recommended

Prerequisites

Git Needed to download the project code from GitHub.
Python 3 On Windows, be sure to check 'Add Python to PATH' during installation.

Under the hood it is using `pip` to install the packages one-by-one as specified [requirements.txt](requirements.txt).

Type this command into your terminal and run it.

If it's starting from a clean slate it should have no conflicts. Please note that for some systems you might need to install `pip` and `setuptools` before you run `setup.py` since these usually come already installed but sometimes they aren't.

Type this command into your terminal and run it.

If you are having issues with the installation you can try pip directly which can install most of the packages all-in-one-go using `-r`. There are two packages we must install without dependencies to avoid conflicts.

Type this command into your terminal and run it.

The setup script won't take care of your Jupyter installation, You would still need to install Jupyter like this:

Type this command into your terminal and run it.

✅ If it runs without errors and prints output in the terminal, it worked.

Pulled directly from this repo's README.