add random state for majority vote (#82)

Co-authored-by: Lingjiao Chen <[email protected]>

eureka_ml_insights/data_utils/transform.py

@@ -370,20 +370,21 @@ class MajorityVoteTransform:
     id_col: str = "data_point_id"  # Default column name for IDs
     majority_vote_col: str = "majority_vote"
 
-    def transform(self, df: pd.DataFrame) -> pd.DataFrame:
+    def transform(self, df: pd.DataFrame, random_state:int=0) -> pd.DataFrame:
         """
         Transforms the dataframe by calculating the majority vote of model_output_col per id_col.
         If the 'model_output' is NaN, it will be droped before calculating the majority vote.
 
         Args:
             df (pd.DataFrame): Input dataframe containing model_output_col and id_col.
+            random_state (int): Input random seed
 
         Returns:
             pd.DataFrame: Transformed dataframe with majority vote for each id_col.
         """
         # Step 1: Group by 'ID' and calculate the majority vote within each group
         df[self.majority_vote_col] = df.groupby(self.id_col)[self.model_output_col].transform(
-            lambda x: x.dropna().mode().sample(n=1).iloc[0] if not x.dropna().mode().empty else pd.NA
+            lambda x: x.dropna().mode().sample(n=1, random_state=random_state).iloc[0] if not x.dropna().mode().empty else pd.NA
         )
 
         return df