Miscellaneous deps updates (#4228)

* Update min shap and unpin numpy * Pin imblearn
alteryx · Jul 10, 2023 · c0802df · c0802df
1 parent 4039bb3
commit c0802df
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Showing 7 changed files with 13 additions and 12 deletions.
diff --git a/.github/meta.yaml b/.github/meta.yaml
@@ -24,7 +24,7 @@ outputs:
         - pip
         - setuptools ==58.0.4
       run:
-        - numpy >=1.21.0, <=1.23.5
+        - numpy >=1.21.0
         - pandas >=1.5.0
         - dask >=2022.2.0, !=2022.10.1
         - scipy >=1.5.0
@@ -34,7 +34,7 @@ outputs:
         - colorama >=0.4.4
         - cloudpickle >=1.5.0
         - click>=8.0.0
-        - shap >=0.40.0
+        - shap >=0.42.0
         - texttable >=1.6.2
         - woodwork >=0.22.0
         - featuretools>=1.16.0
@@ -78,7 +78,7 @@ outputs:
         - lightgbm >=2.3.1
         - lime >=0.2.0.1
         - python >=3.8.*
-        - imbalanced-learn >=0.9.1
+        - imbalanced-learn >=0.9.1, <0.11.0
         - sktime ==0.17.0
         - pmdarima >=1.8.5
         - vowpalwabbit >=8.11.0

diff --git a/core-requirements.txt b/core-requirements.txt
@@ -1,4 +1,4 @@
-numpy>=1.21.0, <=1.23.5
+numpy>=1.21.0
 pandas>=1.5.0
 scipy>=1.5.0
 scikit-learn>=1.2.1
@@ -7,7 +7,7 @@ pyzmq>=20.0.0
 colorama>=0.4.4
 cloudpickle>=1.5.0
 click>=8.0.0
-shap>=0.40.0
+shap>=0.42.0
 statsmodels>=0.12.2
 texttable>=1.6.2
 woodwork>= 0.21.1

diff --git a/docs/source/release_notes.rst b/docs/source/release_notes.rst
@@ -7,6 +7,7 @@ Release Notes
     * Fixes
         * `IDColumnsDataCheck` now works with Unknown data type :pr:`4203`
     * Changes
+        * Upgraded minimum SHAP version to 0.42.0 and unpinned numpy version :pr:`4228`
     * Documentation Changes
         * Updated API reference :pr:`4213`
     * Testing Changes

diff --git a/evalml/tests/dependency_update_check/latest_dependency_versions.txt b/evalml/tests/dependency_update_check/latest_dependency_versions.txt
@@ -18,7 +18,7 @@ matplotlib==3.7.2
 matplotlib-inline==0.1.6
 networkx==3.1
 nlp-primitives==2.11.0
-numpy==1.23.5
+numpy==1.24.4
 packaging==23.1
 pandas==1.5.3
 plotly==5.15.0
@@ -28,7 +28,7 @@ scikit-learn==1.2.2
 scikit-optimize==0.9.0
 scipy==1.10.1
 seaborn==0.12.2
-shap==0.41.0
+shap==0.42.0
 sktime==0.17.0
 statsmodels==0.14.0
 texttable==1.6.7

diff --git a/evalml/tests/dependency_update_check/minimum_requirements.txt b/evalml/tests/dependency_update_check/minimum_requirements.txt
@@ -27,7 +27,7 @@ scikit-learn==1.2.2
 scikit-optimize==0.9.0
 scipy==1.5.0
 seaborn==0.11.1
-shap==0.40.0
+shap==0.42.0
 sktime==0.17.0
 statsmodels==0.12.2
 texttable==1.6.2

diff --git a/evalml/tests/dependency_update_check/minimum_test_requirements.txt b/evalml/tests/dependency_update_check/minimum_test_requirements.txt
@@ -35,7 +35,7 @@ scikit-learn==1.2.2
 scikit-optimize==0.9.0
 scipy==1.5.0
 seaborn==0.11.1
-shap==0.40.0
+shap==0.42.0
 sktime==0.17.0
 statsmodels==0.12.2
 texttable==1.6.2

diff --git a/pyproject.toml b/pyproject.toml
@@ -29,7 +29,7 @@ keywords = ["data science", "machine learning", "optimization", "automl"]
 license = {file = "LICENSE"}
 requires-python = ">=3.8,<4"
 dependencies = [
-    "numpy >= 1.21.0, <=1.23.5",
+    "numpy >= 1.21.0",
     "pandas >= 1.5.0",
     "scipy >= 1.5.0",
     "scikit-learn >= 1.2.2",
@@ -38,7 +38,7 @@ dependencies = [
     "colorama >= 0.4.4",
     "cloudpickle >= 1.5.0",
     "click >= 8.0.0",
-    "shap >= 0.40.0",
+    "shap >= 0.42.0",
     "statsmodels >= 0.12.2",
     "texttable >= 1.6.2",
     "woodwork[dask] >= 0.22.0",
@@ -57,7 +57,7 @@ dependencies = [
     "graphviz >= 0.13; platform_system!='Windows'",
     "seaborn >= 0.11.1",
     "category-encoders >= 2.2.2, <= 2.5.1.post0",
-    "imbalanced-learn >= 0.9.1",
+    "imbalanced-learn >= 0.9.1, <0.11.0",
     "pmdarima >= 1.8.5",
     "sktime == 0.17.0",
     "lime >= 0.2.0.1",