fix travis

.travis.yml

@@ -21,10 +21,12 @@ script:
 - cd $TRAVIS_BUILD_DIR
 - mkdir build && cd build && cmake .. && make -j
 - cd $TRAVIS_BUILD_DIR/tests/c_api_test && python test.py
+- cd $TRAVIS_BUILD_DIR/python-package && python setup.py install
 - cd $TRAVIS_BUILD_DIR/tests/python_package_test && python test_basic.py 
 - cd $TRAVIS_BUILD_DIR
 - rm -rf build && mkdir build && cd build && cmake -DUSE_MPI=ON ..&& make -j
 - cd $TRAVIS_BUILD_DIR/tests/c_api_test && python test.py 
+- cd $TRAVIS_BUILD_DIR/python-package && python setup.py install
 - cd $TRAVIS_BUILD_DIR/tests/python_package_test && python test_basic.py 
 
 notifications:

python-package/lightgbm/__init__.py

@@ -15,9 +15,8 @@ try:
 except ImportError:
     pass
 
-VERSION_FILE = os.path.join(os.path.dirname(__file__), 'VERSION')
-with open(VERSION_FILE) as f:
-    __version__ = f.read().strip()
+
+__version__ = 0.1
 
 __all__ = ['Dataset', 'Booster',
            'train', 'cv',

tests/python_package_test/test_basic.py

 import numpy as np
 from sklearn import datasets, metrics, model_selection
-import importlib.util
-spec  = importlib.util.spec_from_file_location("module.name", "../../python-package/lightgbm/basic.py")
-lgb = importlib.util.module_from_spec(spec)
-spec.loader.exec_module(lgb)
+import lightgbm as lgb
 
 
 X, Y = datasets.make_classification(n_samples=100000, n_features=100)