Source code for onetick.ml.interfaces.models

from abc import ABC, abstractmethod

from onetick.ml.utils.paramsaver import BaseParameterSaver


class BaseModel(ABC, BaseParameterSaver):

    def __init__(self, *args, **kwargs):
        self.model = None
        self.sklearn_searcher = None
        super().__init__(**kwargs)

    def fit(self, *args, **kwargs):
        pass

    @abstractmethod
    def init_model(self, dsf_params=None, init_params=None):
        pass

    @abstractmethod
    def predict(self, *args, **kwargs):
        pass

    def save_model(self, *args, **kwargs):
        pass

    def load_model(self, *args, experiment=None, **kwargs):
        pass

    def get_mlflow_model(self):
        return self.model

    @property
    def name(self):
        return self.__class__.__name__

    @property
    def model_name(self):
        return f'{self.name}'