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19 lines
524 B
19 lines
524 B
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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# Paste your model here: |
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class CustomModel(Model): |
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def __init__(self): |
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super() |
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# Use self.state to store results of your learning |
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# It will be saved in filesystem and loaded after server restart |
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self.state = {} |
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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 predict(self, dataframe, cache: Optional[dict]): |
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return []
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