mirror of
https://github.com/webclinic017/drift.git
synced 2026-07-28 03:08:01 +00:00
Mark Aron Szulyovszky
25 lines
665 B
Python
25 lines
665 B
Python
from __future__ import annotations
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from typing import Literal, Optional, Union
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from abc import ABC, abstractmethod
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import numpy as np
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class Model(ABC):
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name: str = ""
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data_transformation: Literal["transformed", "original"]
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only_column: Optional[str]
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predict_window_size: Literal["single_timestamp", "window_size"]
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@abstractmethod
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def fit(self, X: np.ndarray, y: np.ndarray) -> None:
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raise NotImplementedError
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@abstractmethod
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def predict(self, X: np.ndarray) -> np.ndarray:
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raise NotImplementedError
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@abstractmethod
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def predict_proba(self, X: np.ndarray) -> np.ndarray:
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raise NotImplementedError
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