`submission`

Module Contents

Classes

`BaseSolution`
`ConstantPredictorSolution`

Functions

`set_env_if_kaggle_environ`()
`main`()

submission.set_env_if_kaggle_environ()

class submission.BaseSolution(config: Optional[dict] = None)

abstract fit(X: pandas.DataFrame, y: pandas.DataFrame, **kwargs)

abstract predict(X: pandas.DataFrame) → pandas.DataFrame

abstract save(directory: Union[str, pathlib.Path]) → None

abstract load(directory: Union[str, pathlib.Path]) → None

class submission.ConstantPredictorSolution(const=3.0)

Bases: BaseSolution

fit(X: pandas.DataFrame, y: pandas.DataFrame, **kwargs) → None

predict(X: pandas.DataFrame) → pandas.DataFrame

save(directory: Union[str, pathlib.Path]) → None

load(directory: Union[str, pathlib.Path]) → None

to(device: str) → BaseSolution

submission.main()