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# Setup execution ml_components = load_ml_components(fp=ml_core_fp) idx_to_labels = {i: l for (i, l) in enumerate(ml_components["labels"])} end_2_end_pipeline = ml_components["pipeline"] # Prediction pred_output = end_2_end_pipeline.predict_proba(df_input) class_idx = pred_output.argmax(axis=1) scores = pred_output[:, class_idx] df_input['predicted_class'] = class_idx df_input['predicted_class'] = df_input['predicted_class'].replace( idx_to_labels) df_input['confidence_score'] = scores |