aman sanduja
aman sanduja

Reputation: 221

How to install xgboost in python on MacOS?

I am a newbie and learning python. Can someone help me- how to install xgboost in python. Im using Mac 10.11. I read online and did the below mentioned step, but not able to decode what to do next:

pip install xgboost - 

Upvotes: 22

Views: 37077

Answers (10)

rossinnes
rossinnes

Reputation: 71

If you have Conda installed, this is what worked for me:

Simply type in the terminal:

conda install -c conda-forge xgboost

Upvotes: 7

Claude COULOMBE
Claude COULOMBE

Reputation: 3738

March 2021 - No problem installing XGBoost 1.3.3 using pip

> pip3 install xgboost

>>> import xgboost as xgb
>>> xgb.__version__
'1.3.3'

Upvotes: 0

Im running Mac OS Mojave 10.14.5 and following the "advanced method" instructions for Mac OS at https://xgboost.readthedocs.io/en/latest/build.html# worked for me. In short:

brew install cmake 
brew install gcc@8
git clone --recursive https://github.com/dmlc/xgboost
mkdir xgboost/my_build
cd xgboost/my_build
CC=gcc-8 CXX=g++-8 cmake ..
make -j4
cd ../python_package
python3 setup.py install

Upvotes: 2

Bryan Butler
Bryan Butler

Reputation: 1850

It's a little more complicated if you want to use multi-threading. For the record, I am using a Mac with OS X 10.10 (Yosemite). It took me a while to work through the various issues, but it is now running nicely in my Anaconda (Py36) environment.

For multi-threading you need to do the following first (install homebrew if you have not done so):

brew install gcc --without-multilib

You might get some warnings to unlink directories or delete them if you have other versions installed; follow the warnings/instructions.

Next get the xgboost files from Github. I downloaded it to Anaconda/pkgs directory.

git clone --recursive https://github.com/dmlc/xgboost

The next series of steps differ from the documentation on the xgboost site, and I cobbled it together from lots of sources and also experimenting. The problem is that some key lines in the make files are commented out and also not fully specified.

cd xgboost; cp make/config.mk ./config.mk

Now, use your favorite editor (I used vi), and go into the file that you copied from /make to /xgboost

vi config.mk

Uncomment the lines near the top of the file:

export CC = gcc

export CXX = g++

Change them to the following:

export CC = gcc-6

export CXX = g++-6

It is possible that simply uncommenting the lines solves the problem. It did not for me; I needed to add the -6 to both lines. Save the file.

Also, make changes to the file xgboost/Makefile; change lines:

export CC = $(if $(shell which clang), clang, gcc)
...
...
export CXX = $(if $(shell which clang++), clang++, g++)

to the following:

export CC = $(if $(shell which clang), clang, gcc-6)
...
...
export CXX = $(if $(shell which clang++), clang++, g++-6)

Again, I used vi for this editing.

Save the file and now you need to run a cleaning step since you changed the Makefile.

make clean_all && make -j4

This should configure it cleanly and build the library. You still need to install it.

cd python-package; python setup.py install

Now restart Python/Anaconda and you should be able to import the library.

Upvotes: 39

Zitong Lian
Zitong Lian

Reputation: 49

All the other ways described here failed in my case. I managed to install by following the official installation described here: http://xgboost.readthedocs.io/en/latest/build.html#building-on-macos

My system is MacOS Serria so I followed the instruction of "Building on macOS".

However, instead of "replacing these two lines into(5 or 6 or 7; depending on your gcc-version" w.r.t. the config.mk file, I did:

export CC = gcc-5
export CXX = g++-5

Even though gcc-version showed Apple LLVM version 9.0.0.

After that by following the official instruction of "Python Package Installation" I was able to run the package in Python.

Upvotes: 1

Anna Veronika Dorogush
Anna Veronika Dorogush

Reputation: 1223

You can pip install catboost. It is a recently open-sourced gradient boosting library, it has similar interfaces and is more accurate, than XGBoost, faster and has categorical features support out of the box. Here is the site of the library: https://catboost.yandex

Upvotes: 1

PritamJ
PritamJ

Reputation: 377

FOR PYTHON 2.7

$ conda install -c aterrel xgboost=0.4.0

OR

$ conda install -c biconda xgboost=0.6a2

FOR PYTHON 3.6

$ brew install gcc@5
$ pip install xgboost

Upvotes: 6

A. Attia
A. Attia

Reputation: 1720

I followed Bryan Butler's answer and it worked, I just needed to make some changes:

  • gcc-7/g++-7 instead of gcc-6/g++-6.
  • While running make clean_all && make -j4 I had an error with as. So, I just had to run export PATH=/usr/bin:$PATH and it worked!

Upvotes: 4

Ébe Isaac
Ébe Isaac

Reputation: 12381

For Python-3.x, do the following in Mac

Make sure gcc-6 (and g++-6) is installed, if not do so with

brew install gcc

Then, do the following

git clone --recursive https://github.com/dmlc/xgboost
cd xgboost/
make -j4
cd python-package
python3 setup.py install

If you are using Anaconda and haven't yet configured your path to use the binaries in ~/anaconda/bin, then run the last line as

/path/to/anaconda/bin/python3 setup.py install

Upvotes: 5

Adrien Renaud
Adrien Renaud

Reputation: 2797

For a newbie learning python and Machine Learning on Mac, I would strongly recommand to install Anaconda first (install doc).

Anaconda is a freemium open source distribution of the Python and R programming languages for large-scale data processing, predictive analytics, and scientific computing, that aims to simplify package management and deployment.

If you installed Anaconda for Python 2.7, then you should have no troubles installing XGBoost with:

conda install -c aterrel xgboost=0.4.0

If you already have Anaconda installed and that your pip XGBoost installation failed, you should try:

conda remove xgboost
conda install -c aterrel xgboost=0.4.0

Upvotes: 6

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