Release v.0.52.0 (#3519)

* Release v.0.52.0 * Update release_notes.rst Added back in a deleted release note?
alteryx · May 12, 2022 · 40e6325 · 40e6325
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diff --git a/docs/source/release_notes.rst b/docs/source/release_notes.rst
@@ -1,14 +1,26 @@
 Release Notes
 -------------
 **Future Releases**
+    * Enhancements
+    * Fixes
+    * Changes
+    * Documentation Changes
+    * Testing Changes
+
+.. warning::
+
+    **Breaking Changes**
+
+
+**v0.52.0 May. 12, 2022**
     * Enhancements
     * Fixes
     * Changes
         * Added github workflows for featuretools and woodwork to test their main branch against evalml. :pr:`3504`
-        * Reverted XGBoost Classifier/Regressor patch for all boolean columns needing to be converted to int. :pr:`3503`
         * Added pmdarima to conda recipe. :pr:`3505`
         * Added a threshold for ``NullDataCheck`` before a warning is issued for null values :pr:`3507`
         * Changed ``NoVarianceDataCheck`` to only output warnings :pr:`3506`
+        * Reverted XGBoost Classifier/Regressor patch for all boolean columns needing to be converted to int. :pr:`3503`
         * Updated ``roc_curve()`` and ``conf_matrix()`` to work with IntegerNullable and BooleanNullable types. :pr:`3465`
         * Changed ``ComponentGraph._transform_features`` to raise a ``PipelineError`` instead of a ``ValueError``. This is not a breaking change because ``PipelineError`` is a subclass of ``ValueError``. :pr:`3497`
         * Capped ``sklearn`` at version 1.1.0 :pr:`3518`
@@ -17,10 +29,6 @@ Release Notes
     * Testing Changes
         * Moved vowpal wabbit in test recipe to ``evalml`` package from ``evalml-core`` :pr:`3502`
 
-.. warning::
-
-    **Breaking Changes**
-
 
 **v0.51.0 Apr. 28, 2022**
     * 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__ = "0.51.0"
+__version__ = "0.52.0"
diff --git a/setup.py b/setup.py
@@ -11,7 +11,7 @@
 
 setup(
     name='evalml',
-    version='0.51.0',
+    version='0.52.0',
     author='Alteryx, Inc.',
     author_email='open_source_support@alteryx.com',
     description='EvalML is an AutoML library that builds, optimizes, and evaluates machine learning pipelines using domain-specific objective functions.',