v0.27.0

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alteryx · Jun 23, 2021 · fbbc8b3 · fbbc8b3
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diff --git a/docs/source/release_notes.rst b/docs/source/release_notes.rst
@@ -2,10 +2,28 @@ Release Notes
 -------------
 **Future Release**
     * Enhancements
+    * Fixes
+    * Changes
+    * Documentation Changes
+    * Testing Changes
+
+.. warning::
+
+    **Breaking Changes**
+
+**v0.27.0 Jun. 22, 2021**
+    * Enhancements
+        * Adds force plots for prediction explanations :pr:`2157`
+        * Removed self-reference from ``AutoMLSearch`` :pr:`2304`
+        * Added support for nonlinear pipelines for ``generate_pipeline_code`` :pr:`2332`
+        * Added ``inverse_transform`` method to pipelines :pr:`2256`
+        * Add optional automatic update checker :pr:`2350`
+        * Added ``search_order`` to ``AutoMLSearch``'s ``rankings`` and ``full_rankings`` tables :pr:`2345`
         * Updated threshold optimization method for binary classification :pr:`2315`
         * Updated demos to pull data from S3 instead of including demo data in package :pr:`2387`
         * Upgrade woodwork version to v0.4.1 :pr:`2379`
     * Fixes
+        * Preserve user-specified woodwork types throughout pipeline fit/predict :pr:`2297`
         * Fixed ``ComponentGraph`` appending target to ``final_component_features`` if there is a component that returns both X and y :pr:`2358`
         * Fixed partial dependence graph method failing on multiclass problems when the class labels are numeric :pr:`2372`
         * Added ``thresholding_objective`` argument to ``AutoMLSearch`` for binary classification problems :pr:`2320`
@@ -14,6 +32,9 @@ Release Notes
         * Pinned pytest-timeout to fix minimum dependence checker :pr:`2425`
         * Replaced ``Elastic Net Classifier`` base class with ``Logistsic Regression`` to avoid ``NaN`` outputs :pr:`2420`
     * Changes
+        * Cleaned up ``PipelineBase``'s ``component_graph`` and ``_component_graph`` attributes. Updated ``PipelineBase`` ``__repr__`` and added ``__eq__`` for ``ComponentGraph`` :pr:`2332`
+        * Added and applied  ``black`` linting package to the EvalML repo in place of ``autopep8`` :pr:`2306`
+        * Separated `custom_hyperparameters` from pipelines and added them as an argument to ``AutoMLSearch`` :pr:`2317`
         * Replaced `allowed_pipelines` with `allowed_component_graphs` :pr:`2364`
         * Removed private method ``_compute_features_during_fit`` from ``PipelineBase`` :pr:`2359`
         * Updated ``compute_order`` in ``ComponentGraph`` to be a read-only property :pr:`2408`
@@ -25,6 +46,8 @@ Release Notes
         * Fixed lead scoring weights in the demos documentation :pr:`2315`
         * Fixed start page code and description dataset naming discrepancy :pr:`2370`
     * Testing Changes
+        * Update minimum unit tests to run on all pull requests :pr:`2314`
+        * Pass token to authorize uploading of codecov reports :pr:`2344`
         * Add ``pytest-timeout``. All tests that run longer than 6 minutes will fail. :pr:`2374`
         * Separated the dask tests out into separate github action jobs to isolate dask failures. :pr:`2376`
         * Refactored dask tests :pr:`2377`
@@ -37,34 +60,9 @@ Release Notes
 
     **Breaking Changes**
         * `AutoMLSearch` will accept `allowed_component_graphs` instead of `allowed_pipelines` :pr:`2364`
-
-
-**v0.26.0 Jun. 08, 2021**
-    * Enhancements
-        * Adds force plots for prediction explanations :pr:`2157`
-        * Removed self-reference from ``AutoMLSearch`` :pr:`2304`
-        * Added support for nonlinear pipelines for ``generate_pipeline_code`` :pr:`2332`
-        * Added ``inverse_transform`` method to pipelines :pr:`2256`
-        * Add optional automatic update checker :pr:`2350`
-        * Added ``search_order`` to ``AutoMLSearch``'s ``rankings`` and ``full_rankings`` tables :pr:`2345`
-    * Fixes
-        * Preserve user-specified woodwork types throughout pipeline fit/predict :pr:`2297`
-    * Changes
-        * Cleaned up ``PipelineBase``'s ``component_graph`` and ``_component_graph`` attributes. Updated ``PipelineBase`` ``__repr__`` and added ``__eq__`` for ``ComponentGraph`` :pr:`2332`
-        * Added and applied  ``black`` linting package to the EvalML repo in place of ``autopep8`` :pr:`2306`
-        * Separated `custom_hyperparameters` from pipelines and added them as an argument to ``AutoMLSearch`` :pr:`2317`
-    * Documentation Changes
-    * Testing Changes
-        * Update minimum unit tests to run on all pull requests :pr:`2314`
-        * Pass token to authorize uploading of codecov reports :pr:`2344`
-
-.. warning::
-
-    **Breaking Changes**
         * Removed ``PipelineBase``'s ``_component_graph`` attribute. Updated ``PipelineBase`` ``__repr__`` and added ``__eq__`` for ``ComponentGraph`` :pr:`2332`
         * `pipeline_parameters` will no longer accept `skopt.space` variables since hyperparameter ranges will now be specified through `custom_hyperparameters` :pr:`2317`
 
-
 **v0.25.0 Jun. 01, 2021**
     * Enhancements
         * Upgraded minimum woodwork to version 0.3.1. Previous versions will not be supported :pr:`2181`

diff --git a/evalml/__init__.py b/evalml/__init__.py
@@ -21,4 +21,4 @@
 warnings.filterwarnings("ignore", category=FutureWarning)
 warnings.filterwarnings("ignore", category=DeprecationWarning)
 
-__version__ = "0.26.0"
+__version__ = "0.27.0"
diff --git a/setup.py b/setup.py
@@ -9,7 +9,7 @@
 
 setup(
     name='evalml',
-    version='0.26.0',
+    version='0.27.0',
     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.',