Initial. (#3029)

alteryx · Nov 10, 2021 · 25808fb · 25808fb
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diff --git a/docs/source/release_notes.rst b/docs/source/release_notes.rst
@@ -1,6 +1,18 @@
 Release Notes
 -------------
 **Future Releases**
+    * Enhancements
+    * Fixes
+    * Changes
+    * Documentation Changes
+    * Testing Changes
+
+.. warning::
+
+    **Breaking Changes**
+
+
+**v0.37.0 Nov. 9, 2021**
     * Enhancements
         * Added ``find_confusion_matrix_per_threshold`` to Model Understanding :pr:`2972`
         * Limit computationally-intensive models during ``AutoMLSearch`` for certain multiclass problems, allow for opt-in with parameter ``allow_long_running_models`` :pr:`2982`
@@ -21,11 +33,7 @@ Release Notes
         * Fixed cost benefit matrix demo formatting :pr:`2990`
         * Update ReadMe.md with new badge links and updated installation instructions for conda :pr:`2998`
         * Added more comprehensive doctests :pr:`3002`
-    * Testing Changes
 
-.. warning::
-
-    **Breaking Changes**
 
 **v0.36.0 Oct. 27, 2021**
     * Enhancements

diff --git a/evalml/__init__.py b/evalml/__init__.py
@@ -23,4 +23,4 @@
 warnings.filterwarnings("ignore", category=FutureWarning)
 warnings.filterwarnings("ignore", category=DeprecationWarning)
 
-__version__ = "0.36.0"
+__version__ = "0.37.0"
diff --git a/setup.py b/setup.py
@@ -11,7 +11,7 @@
 
 setup(
     name='evalml',
-    version='0.36.0',
+    version='0.37.0',
     author='Alteryx, Inc.',
     author_email='support@featurelabs.com',
     description='EvalML is an AutoML library that builds, optimizes, and evaluates machine learning pipelines using domain-specific objective functions.',