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guerinclement · guerinclement · commit ca91a9da66bb · 2025-11-10T11:32:41.000+01:00
diff --git a/eurybia/core/smartdrift.py b/eurybia/core/smartdrift.py
@@ -499,7 +499,6 @@ def _analyze_consistency(self, ignore_cols: list, full_validation: bool = False)
                         )
         self.pb_cols = {"New columns": new_cols, "Removed columns": removed_cols, "Type errors": err_dtypes}
         self.err_mods = err_mods
-        # return ({"New columns": new_cols, "Removed columns": removed_cols, "Type errors": err_dtypes}, err_mods)
 
     def _predict(self, deployed_model: Any, encoding: Any = None) -> pd.DataFrame:
         """Create an attributes df_predict with the computed score on both datasets

Original file line number	Diff line number	Diff line change
`@@ -499,7 +499,6 @@ def _analyze_consistency(self, ignore_cols: list, full_validation: bool = False)`
`499`	`499`	`)`
`500`	`500`	`self.pb_cols = {"New columns": new_cols, "Removed columns": removed_cols, "Type errors": err_dtypes}`
`501`	`501`	`self.err_mods = err_mods`
`502`		`- # return ({"New columns": new_cols, "Removed columns": removed_cols, "Type errors": err_dtypes}, err_mods)`
`503`	`502`
`504`	`503`	`def _predict(self, deployed_model: Any, encoding: Any = None) -> pd.DataFrame:`
`505`	`504`	`"""Create an attributes df_predict with the computed score on both datasets`