[PARO-736] Bump version to 0.2.0 (#49)

* MAINT bump version to 0.2.0

* MAINT fix README

* FIX package name is civisml-extensions, not civismlext

* MAINT show installed packages in Travis CI builds

.travis.yml

@@ -13,6 +13,7 @@ install:
     - pip install cython ; python_version==3.6
     - pip install pandas==0.19 ; python_version==3.5
     - pip install -e .
+    - pip list
 before_script: flake8 civismlext
 script:
     - py.test -vv civismlext

CHANGELOG.md

@@ -5,6 +5,8 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/)
 and this project adheres to [Semantic Versioning](http://semver.org/).
 
 ## Unreleased
+
+## [0.2.0] - 2019-11-22
 ### Changed
 - Update tests and requirements.txt to allow sklearn 0.20 and above. (#47)
 - Instead of boolean flag for `dummy_na`, have None/False (no dummying),

README.rst

@@ -27,7 +27,9 @@ This package contains `scikit-learn`_-compatible estimators for stacking (
 ``HyperbandSearchCV``).
 
 Usage of these estimators follows the standard sklearn conventions. Here is an
-example of using the ``StackedClassifier``::
+example of using the ``StackedClassifier``:
+
+    .. code-block:: python
 
     >>> from sklearn.linear_model import LogisticRegression
     >>> from sklearn.ensemble import RandomForestClassifier
@@ -52,7 +54,7 @@ See the doc strings of the various estimators for more information.
 Contributing
 ------------
 
-See ``CONTIBUTING.md`` for information about contributing to this project.
+See ``CONTRIBUTING.md`` for information about contributing to this project.
 
 License
 -------

civismlext/__init__.py

@@ -1,6 +1,19 @@
-from civismlext.stacking import StackedRegressor  # NOQA
-from civismlext.stacking import StackedClassifier  # NOQA
-from civismlext.nonnegative import NonNegativeLinearRegression  # NOQA
-from civismlext.hyperband import HyperbandSearchCV  # NOQA
-from civismlext.preprocessing import DataFrameETL  # NOQA
-from civismlext._version import __version__  # NOQA
+import pkg_resources
+
+from civismlext.stacking import StackedRegressor
+from civismlext.stacking import StackedClassifier
+from civismlext.nonnegative import NonNegativeLinearRegression
+from civismlext.hyperband import HyperbandSearchCV
+from civismlext.preprocessing import DataFrameETL
+
+
+__version__ = pkg_resources.get_distribution('civisml-extensions').version
+
+__all__ = [
+    'StackedRegressor',
+    'StackedClassifier',
+    'NonNegativeLinearRegression',
+    'HyperbandSearchCV',
+    'DataFrameETL',
+    '__version__',
+]

setup.py

@@ -7,10 +7,9 @@ def read(fname):
         return _in.read()
 
 
-__version__ = None
-exec(read('civismlext/_version.py'))
+_VERSION = '0.2.0'
 
-setup(version=__version__,
+setup(version=_VERSION,
       name="civisml-extensions",
       author="Civis Analytics",
       author_email="[email protected]",