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from models import Model |
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import utils |
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import pandas as pd |
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from typing import Optional |
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class CustomModel(Model): |
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def fit(self, dataframe: pd.DataFrame, segments: list, cache: Optional[dict]) -> dict: |
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pass |
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def do_predict(self, dataframe: pd.DataFrame) -> list: |
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return []
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