Merge branch 'main' into add_michael_to_latest_dependency_checker

alteryx · Oct 9, 2023 · 112b644 · 112b644
2 parents 3c5be34 + 08d7aac
commit 112b644
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Showing 5 changed files with 20 additions and 3 deletions.
diff --git a/.github/workflows/release.yaml b/.github/workflows/release.yaml
@@ -18,3 +18,4 @@ jobs:
         PYPI_PASSWORD: ${{ secrets.PYPI_PASSWORD }}
         TEST_PYPI_USERNAME: ${{ secrets.TEST_PYPI_USERNAME }}
         TEST_PYPI_PASSWORD: ${{ secrets.TEST_PYPI_PASSWORD }}
+        TAG_NAME: ${{ github.event.release.tag_name }}
diff --git a/docs/source/release_notes.rst b/docs/source/release_notes.rst
@@ -1,6 +1,19 @@
 Release Notes
 -------------
 **Future Releases**
+    * Enhancements
+    * Fixes
+         * Fixed bug related to pypi release :pr:`4330`
+    * Changes
+    * Documentation Changes
+    * Testing Changes
+
+.. warning::
+
+    **Breaking Changes**
+
+
+**v0.81.0 Oct 5, 2023**
     * Enhancements
         * Extended STLDecomposer to support multiseries :pr:`4253`
         * Extended TimeSeriesImputer to support multiseries :pr:`4291`
@@ -10,6 +23,7 @@ Release Notes
         * Extended TimeSeriesRegularizer to support multiseries :pr:`4303`
     * Fixes
         * Fixed forecast period generation function for multiseries :pr:`4320`
+        * Fixed bug in ``STLDecomposer.inverse_transform`` causing incorrect seasonality projections :pr:`4328`
     * Changes
         * Updated ``split_data`` to call ``split_multiseries_data`` when passed stacked multiseries data :pr:`4312`
         * Pinned pandas version under 2.1.0 :pr:`4315`

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__ = "0.80.0"
+__version__ = "0.81.0"
diff --git a/evalml/pipelines/components/transformers/preprocessing/stl_decomposer.py b/evalml/pipelines/components/transformers/preprocessing/stl_decomposer.py
@@ -380,10 +380,12 @@ def inverse_transform(
             if len(y_t.columns) > 1:
                 old_trend = self.trends[id]
                 old_seasonal = self.seasonals[id]
+                old_seasonality = self.seasonalities[id]
                 period = self.periods[id]
             else:
                 old_trend = list(self.trends.values())[0]
                 old_seasonal = list(self.seasonals.values())[0]
+                old_seasonality = list(self.seasonalities.values())[0]
                 period = list(self.periods.values())[0]
             # For partially and wholly in-sample data, retrieve stored results.
             if index[0] <= series_y.index[0] <= index[-1]:
@@ -423,7 +425,7 @@ def inverse_transform(
                 ) = self._project_trend_and_seasonality(
                     truncated_y_t,
                     old_trend,
-                    old_seasonal,
+                    old_seasonality,
                     period,
                 )
 

diff --git a/evalml/tests/dependency_update_check/latest_dependency_versions.txt b/evalml/tests/dependency_update_check/latest_dependency_versions.txt
@@ -31,7 +31,7 @@ seaborn==0.13.0
 shap==0.42.1
 sktime==0.23.0
 statsmodels==0.14.0
-texttable==1.6.7
+texttable==1.7.0
 tomli==2.0.1
 vowpalwabbit==9.9.0
 woodwork==0.26.0