WebashalarForML commited on
Commit
5301994
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verified ·
1 Parent(s): b518a9f

Update app.py

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Files changed (1) hide show
  1. app.py +1 -1
app.py CHANGED
@@ -264,7 +264,7 @@ def process_dataframe(df):
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  # Create two DataFrames: one for prediction and one for classification.
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  df_pred = df[required_columns].copy()
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- df_pred = df_pred[(df_pred[['EngCts']] > 0.00).all(axis=1) & (df_pred[['EngCts']] <= 0.99).all(axis=1)]
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  df_pred[['EngBlk', 'EngWht', 'EngOpen', 'EngPav']]=df_pred[['EngBlk', 'EngWht', 'EngOpen', 'EngPav']].fillna("NA")
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  df_class = df[required_columns_2].fillna("NA").copy()
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  # Create two DataFrames: one for prediction and one for classification.
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  df_pred = df[required_columns].copy()
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+ df_pred = df_pred[(df_pred[['EngCts']] > 0.00).all(axis=1) & (df_pred[['EngCts']] <= 2.00).all(axis=1)]
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  df_pred[['EngBlk', 'EngWht', 'EngOpen', 'EngPav']]=df_pred[['EngBlk', 'EngWht', 'EngOpen', 'EngPav']].fillna("NA")
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  df_class = df[required_columns_2].fillna("NA").copy()
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