How to Install XGBoost for Python on macOS
Last Updated on August 21, 2019
XGBoost is a library for developing very fast and accurate gradient boosting models.
It is a library at the center of many winning solutions in Kaggle data science competitions.
In this tutorial, you will discover how to install the XGBoost library for Python on macOS.
Kick-start your project with my new book XGBoost With Python, including step-by-step tutorials and the Python source code files for all examples.
Let’s get started.
How to Install XGBoost for Python on macOS
Photo by auntjojo, some rights reserved.
Tutorial Overview
This tutorial is divided into 3 parts; they are:
- Install MacPorts
- Build XGBoost
- Install XGBoost
Note: I have used this procedure for years on a range of different macOS versions and it has not changed. This tutorial was written and tested on macOS High Sierra (10.13.1).
1. Install MacPorts
You need GCC and a Python environment installed in order to build and install XGBoost for Python.
I recommend GCC 7 and Python 3.6 and I recommend
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