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update preprocess function to accommodate single row scoring #229

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djm21 merged 1 commit into from
May 28, 2026
Merged

update preprocess function to accommodate single row scoring #229

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6 changes: 5 additions & 1 deletion examples/pzmm_generate_complete_model_card.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -567,7 +567,11 @@
" df = pd.get_dummies(df, columns=[\"WorkClass\", \"Education\", \"MartialStatus\", \"Relationship\", \"Race\", \"Sex\"])\n",
" df.columns = df.columns.str.replace(' ', '')\n",
" df.columns = df.columns.str.replace('-', '_')\n",
" df = df.drop(['Sex_Male'], axis=1)\n",
" # Ensure that Sex_Female column exists and Sex_Male column is dropped if it exists\n",
" if 'Sex_Female' not in df.columns:\n",
" df['Sex_Female'] = 0\n",
" if 'Sex_Male' in df.columns:\n",
" df = df.drop(['Sex_Male'], axis=1)\n",
" if 'index' in df.columns or 'index' in cat_vals.columns:\n",
" df = pd.concat([df, cat_vals], axis=1).drop('index', axis=1)\n",
" # For the model to score correctly, all OHE columns must exist\n",
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