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from prefect.engine.results import LocalResult | |
@task(target="{date:%a_%b_%d_%Y_%H:%M:%S}/{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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