Merge pull request #552 from guillaume-vignal/fix/shap_0.45.0

Fix/shap 0.45.0

Author: guillaume-vignal

requirements.dev.txt

@@ -13,7 +13,7 @@ dash-table==5.0.0
 lightgbm==2.3.1
 pandas>=2.1.0
 plotly==5.6.0
-shap>=0.38.1,<0.45.0
+shap>=0.45.0
 Sphinx==4.5.0
 sphinxcontrib-applehelp==1.0.2
 sphinxcontrib-devhelp==1.0.2

setup.py

@@ -21,7 +21,7 @@
     "matplotlib>=3.2.0",
     "numpy>1.18.0",
     "pandas>=2.1.0",
-    "shap>=0.38.1,<0.45.0",
+    "shap>=0.45.0",
     "Flask<2.3.0",
     "dash>=2.3.1",
     "dash-bootstrap-components>=1.1.0",

tests/integration_tests/test_contributions_multiclass.py

@@ -97,7 +97,10 @@ def test_rank_contributions_1(self):
         model.fit(self.x_train, self.y_train)
         explainer = shap.TreeExplainer(model)
         shap_values = explainer.shap_values(self.x_test)
-        slist = [pd.DataFrame(data=tab, index=self.x_test.index, columns=self.x_test.columns) for tab in shap_values]
+        slist = [
+            pd.DataFrame(data=shap_values[:, :, i], index=self.x_test.index, columns=self.x_test.columns)
+            for i in range(3)
+        ]
 
         for i in range(3):
             s_ord, x_ord, s_dict = rank_contributions(slist[i], pd.DataFrame(data=self.x_test))