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support multiple types in feature engineering (#562)
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@@ -20,6 +20,9 @@ X, y, test_X, test_ids = load_data()
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X, y, test_X = feat_eng(X, y, test_X)
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train_X, val_X, train_y, val_y = train_test_split(X, y, test_size=0.2, random_state=42)
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# Print the types of train_y and val_y
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print(f"train_y type: {type(train_y)}, val_y type: {type(val_y)}")
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test_preds_dict = {}
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val_preds_dict = {}
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{% for mn in model_names %}
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