xgboost installation issue with anaconda

Question

I am using Anaconda. I first switched to Python2 (Version 2.7.11).

python -V
Python 2.7.11 :: Continuum Analytics, Inc.

I used the followin

Answer 1

in the my ubuntu 14.04,
first: install anaconda
second: git clone the xgboost, and make and install, complie the python package
third: setup the xgboost with anaconda. for example:
1) cd yourpath/xgboost/python-package
2) find you anaconda python python path:
anaconda/bin/python setup.py install

Answer 2

I had a similar problem

>>> import xgboost
/usr/local/anaconda2/lib/python2.7/site-packages/sklearn/cross_validation.py:44: DeprecationWarning: This module was deprecated in version 0.18 in favor of the model_selection module into which all the refactored classes and functions are moved. Also note that the interface of the new CV iterators are different from that of this module. This module will be removed in 0.20.
  "This module will be removed in 0.20.", DeprecationWarning)
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/usr/local/anaconda2/lib/python2.7/site-packages/xgboost/__init__.py", line 11, in <module>
    from .core import DMatrix, Booster
  File "/usr/local/anaconda2/lib/python2.7/site-packages/xgboost/core.py", line 112, in <module>
    _LIB = _load_lib()
  File "/usr/local/anaconda2/lib/python2.7/site-packages/xgboost/core.py", line 106, in _load_lib
    lib = ctypes.cdll.LoadLibrary(lib_path[0])
  File "/usr/local/anaconda2/lib/python2.7/ctypes/__init__.py", line 440, in LoadLibrary
    return self._dlltype(name)
  File "/usr/local/anaconda2/lib/python2.7/ctypes/__init__.py", line 362, in __init__
    self._handle = _dlopen(self._name, mode)
OSError: /usr/local/anaconda2/bin/../lib/libgomp.so.1: version `GOMP_4.0' not found (required by /usr/local/anaconda2/lib/python2.7/site-packages/xgboost/./lib/libxgboost.so)

In my case the problem is that i installed xgboost with a regular user. So i did

sudo su
pip uninstall xgboost
pip install xgboost
python
>>> import xgboost
/usr/local/anaconda2/lib/python2.7/site-packages/sklearn/cross_validation.py:44: DeprecationWarning: This module was deprecated in version 0.18 in favor of the model_selection module into which all the refactored classes and functions are moved. Also note that the interface of the new CV iterators are different from that of this module. This module will be removed in 0.20.
  "This module will be removed in 0.20.", DeprecationWarning)
>>> ~

Hope this can help!

Answer 3

Did you try using pip?
source activate yourenvironment
pip install xgboost

Answer 4

Library not loaded: @rpath/./libgomp.1.dylib

This is the key.

In my case, it is " Library not loaded: /usr/local/opt/gcc/lib/gcc/6/libgomp.1.dylib"

I check my path "/usr/local/opt/gcc/lib/gcc" and there is only a folder named 7 there , no 6.
So i use "sudo find / -name libgomp.1.dylib" to locate all the gcc version i have installed, with I found that there is a version 6 in another location.
Then I create a folder named 6 under '/usr/local/opt/gcc/lib/gcc' and copy those gcc 6 files in there . Finally , "import xgboost" works with no error .

Answer 5

You first need to build the library through "make", then you can install using anaconda prompt.

First follow the official guide with the following procedure (in Git Bash on Windows):

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

install TDM-GCC here

alias make='mingw32-make'
cp make/mingw64.mk config.mk; make -j4

Last, do the following using anaconda prompt:

cd xgboost\python-package  
python setup.py install 

Also refer to these great resources:

Official Guide

Installing Xgboost on Windows

Installing XGBoost For Anaconda on Windows

Answer 6

The package image you download is corrupt. What you should do :

First remove your xgboost package with (in the terminal) :

conda remove xgboost

Then reinstall with an other package at https://anaconda.org/aterrel/xgboost So just write :

conda install py-xgboost

Then you can check the installation in the python console :

import xgboost

It should be ok.