mirror of
https://github.com/webclinic017/drift.git
synced 2026-07-28 11:17:47 +00:00
Mark Aron Szulyovszky
fc5eba4e2d
* feat(Models): added lightGBM, moved other models to separate files * feat(Models): added non-working statsmodel wrapper * fix(Models): added work-in-progress comment to StatsModels
40 lines
969 B
Python
40 lines
969 B
Python
from __future__ import annotations
|
|
from typing import Literal, Optional, Union
|
|
from abc import ABC, abstractmethod
|
|
import numpy as np
|
|
|
|
import numpy as np
|
|
|
|
class Model(ABC):
|
|
|
|
data_scaling: Literal["scaled", "unscaled"]
|
|
feature_selection: Literal["on", "off"]
|
|
# data_format: Literal["wide", "narrow"]
|
|
only_column: Optional[str]
|
|
model_type: Literal['ml', 'static']
|
|
predict_window_size: Literal['single_timestamp', 'window_size']
|
|
|
|
@abstractmethod
|
|
def fit(self, X: np.ndarray, y: np.ndarray) -> None:
|
|
raise NotImplementedError
|
|
|
|
@abstractmethod
|
|
def predict(self, X: np.ndarray) -> tuple[float, np.ndarray]:
|
|
raise NotImplementedError
|
|
|
|
@abstractmethod
|
|
def clone(self) -> Model:
|
|
raise NotImplementedError
|
|
|
|
@abstractmethod
|
|
def get_name(self) -> str:
|
|
raise NotImplementedError
|
|
|
|
@abstractmethod
|
|
def initialize_network(self, input_dim:int, output_dim:int):
|
|
pass
|
|
|
|
|
|
|
|
|