Initial. (#2864)

Co-authored-by: Angela Lin <[email protected]>

docs/source/release_notes.rst

@@ -1,6 +1,18 @@
 Release Notes
 -------------
 **Future Releases**
+    * Enhancements
+    * Fixes
+    * Changes
+    * Documentation Changes
+    * Testing Changes
+
+.. warning::
+
+    **Breaking Changes**
+
+
+**v0.34.0 Sep. 30, 2021**
     * Enhancements
         * Updated to work with Woodwork 0.8.1 :pr:`2783`
         * Added validation that ``training_data`` and ``training_target`` are not ``None`` in prediction explanations :pr:`2787`
@@ -32,7 +44,6 @@ Release Notes
         * Removed ``model_family`` attribute from ``ComponentBase`` and transformers :pr:`2828`
         * Limited ``scikit-learn`` until new features and errors can be addressed :pr:`2842`
         * Show DeprecationWarning when Sklearn Ensemblers are called :pr:`2859`
-    * Documentation Changes
     * Testing Changes
         * Updated matched assertion message regarding monotonic indices in polynomial detrender tests :pr:`2811`
         * Added a test to make sure pip versions match conda versions :pr:`2851`

evalml/__init__.py

@@ -22,4 +22,4 @@
 warnings.filterwarnings("ignore", category=FutureWarning)
 warnings.filterwarnings("ignore", category=DeprecationWarning)
 
-__version__ = "0.33.0"
+__version__ = "0.34.0"

setup.py

@@ -11,7 +11,7 @@
 
 setup(
     name='evalml',
-    version='0.33.0',
+    version='0.34.0',
     author='Alteryx, Inc.',
     author_email='[email protected]',
     description='EvalML is an AutoML library that builds, optimizes, and evaluates machine learning pipelines using domain-specific objective functions.',