# HG changeset patch
# User goeckslab
# Date 1755897224 0
# Node ID 0afd970bd8aeb2a10d9470572b276eadc1b2c973
# Parent  4bd75b45a7a11966a9f69e411035eba777710888
planemo upload for repository https://github.com/goeckslab/gleam commit 55deacbbc78a00f27d789e11d563ba49dfb9cf9e

diff -r 4bd75b45a7a1 -r 0afd970bd8ae feature_importance.py
--- a/feature_importance.py	Fri Aug 01 14:02:13 2025 +0000
+++ b/feature_importance.py	Fri Aug 22 21:13:44 2025 +0000
@@ -136,10 +136,15 @@
 
         predict_fn = model.predict_proba if hasattr(model, "predict_proba") else model.predict
 
-        explainer = shap.Explainer(predict_fn, bg)
-        self.shap_model_name = explainer.__class__.__name__
+        try:
+            explainer = shap.Explainer(predict_fn, bg)
+            self.shap_model_name = explainer.__class__.__name__
 
-        shap_values = explainer(X_data)
+            shap_values = explainer(X_data)
+        except Exception as e:
+            LOG.error(f"SHAP computation failed: {e}")
+            self.shap_model_name = None
+            return
 
         output_names = getattr(shap_values, "output_names", None)
         if output_names is None and hasattr(model, "classes_"):
diff -r 4bd75b45a7a1 -r 0afd970bd8ae pycaret_macros.xml
--- a/pycaret_macros.xml	Fri Aug 01 14:02:13 2025 +0000
+++ b/pycaret_macros.xml	Fri Aug 22 21:13:44 2025 +0000
@@ -1,5 +1,5 @@
 <macros>
-    <token name="@TABULAR_LEARNER_VERSION@">0.1.0</token>
+    <token name="@TABULAR_LEARNER_VERSION@">0.1.0.1</token>
     <token name="@PYCARET_VERSION@">3.3.2</token>
     <token name="@SUFFIX@">1</token>
     <token name="@PYCARET_PREDICT_VERSION@">@PYCARET_VERSION@+@SUFFIX@</token>