target display

appStore/target.py

@@ -202,7 +202,7 @@ def filter_dataframe(df: pd.DataFrame) -> pd.DataFrame:
             left, right = st.columns((1, 20))
             left.write("↳")
             # Treat columns with < 10 unique values as categorical
-            if is_categorical_dtype(df[column]) or df[column].nunique() < 10:
+            if is_categorical_dtype(df[column]):
                 user_cat_input = right.multiselect(
                     f"Values for {column}",
                     df[column].unique(),

utils/netzero_classifier.py

@@ -10,7 +10,7 @@ from transformers import pipeline
 
 # Labels dictionary ###
 _lab_dict = {
-            'NEGATIVE':'NO NETZERO TARGET',
+            'NEGATIVE':'NON NETZERO TARGET',
             'NET-ZERO':'NETZERO TARGET',
             'TARGET_FREE':'OTHERS'
             }