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from prefect.engine.results import LocalResult
@task(target="{date:%a %b %d %H:%M:%S %Y}/{task_name}_output",
result = LocalResult(dir='data/processed'))
def split_data(data: pd.DataFrame, test_data_ratio: float, classes: list) -> Dict[str, Any]:
"""Task for splitting the classical Iris data set into training and test
sets, each split into features and labels.
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