singhn9 commited on
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1 Parent(s): 1cb0b5f

Update src/streamlit_app.py

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  1. src/streamlit_app.py +15 -4
src/streamlit_app.py CHANGED
@@ -483,12 +483,23 @@ with tabs[4]:
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  # Select only valid feature columns
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  cols_needed = [c for c in features if c in df.columns]
 
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  if target not in df.columns:
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- st.error(f"Target `{target}` not found in dataframe columns.")
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- st.stop()
 
 
 
 
 
 
 
 
 
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- # Build sub_df safely
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- sub_df = df[cols_needed + [target]].sample(n=sample_size, random_state=42).reset_index(drop=True)
 
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  # Construct X and y
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  X = sub_df[cols_needed].copy()
 
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  # Select only valid feature columns
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  cols_needed = [c for c in features if c in df.columns]
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+ # --- Build sub_df safely (force exact column match) ---
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  if target not in df.columns:
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+ # try case-insensitive or partial fallback once
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+ matches = [c for c in df.columns if target.lower() in c.lower()]
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+ if len(matches) == 1:
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+ target = matches[0]
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+ st.info(f"Auto-corrected target to exact match: `{target}`")
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+ elif len(matches) > 1:
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+ st.warning(f"Multiple columns match '{target}': {matches}. Using first: {matches[0]}")
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+ target = matches[0]
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+ else:
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+ st.error(f"Target `{target}` not found in dataframe columns.")
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+ st.stop()
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+ # Now build sub_df strictly
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+ sub_df = df.loc[:, cols_needed + [target]].sample(n=sample_size, random_state=42).reset_index(drop=True)
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+
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  # Construct X and y
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  X = sub_df[cols_needed].copy()