Merge pull request #662 from weixuanfu/xgboost0.7_install_doc

Update installation of the lastest version (0.7) of  xgboost

ci/.travis_install.sh

@@ -33,12 +33,11 @@ conda update --yes conda
 # provided versions
 if [[ "$LATEST" == "true" ]]; then
     conda create -n testenv --yes python=$PYTHON_VERSION pip nose \
-        numpy scipy scikit-learn cython py-xgboost pandas
+        numpy scipy scikit-learn cython pandas
 else
     conda create -n testenv --yes python=$PYTHON_VERSION pip nose \
         numpy=$NUMPY_VERSION scipy=$SCIPY_VERSION \
         scikit-learn=$SKLEARN_VERSION \
-	py-xgboost=$XGBOOST_VERSION \
 	cython \
   pandas
 fi
@@ -54,6 +53,7 @@ fi
 pip install update_checker
 pip install tqdm
 pip install stopit
+pip install xgboost
 
 if [[ "$COVERAGE" == "true" ]]; then
     pip install coverage coveralls

docs_sources/installing.md

@@ -35,14 +35,14 @@ pip install deap update_checker tqdm stopit
 ```Shell
 # For Python version <=3.3
 pip install pywin32
-# For Any python version
+# For any python version
 conda install pywin32
 ```
 
-**Optionally**, you can install [XGBoost](https://github.com/dmlc/xgboost) if you would like TPOT to use the eXtreme Gradient Boosting models. XGBoost is entirely optional, and TPOT will still function normally without XGBoost if you do not have it installed.
+**Optionally**, you can install [XGBoost](https://github.com/dmlc/xgboost) if you would like TPOT to use the eXtreme Gradient Boosting models. XGBoost is entirely optional, and TPOT will still function normally without XGBoost if you do not have it installed. **Windows users: pip installation may not work on some Windows environments, and it may cause unexpected errors.**
 
 ```Shell
-conda install py-xgboost
+pip install xgboost
 ```
 
 If you have issues installing XGBoost, check the [XGBoost installation documentation](http://xgboost.readthedocs.io/en/latest/build.html).