Source code for pykeen.stoppers.stopper

# -*- coding: utf-8 -*-

"""Basic stoppers."""

import logging
import pathlib
from abc import ABC, abstractmethod
from typing import Any, List, Mapping, Union

import torch

__all__ = [

logger = logging.getLogger(__name__)

[docs]class Stopper(ABC): """A harness for stopping training.""" def __init__(self, *args, **kwargs): """ Initialize the stopper. :param args: ignored positional parameters :param kwargs: ignored keyword-based parameters """ # To make MyPy happy self.best_epoch = None
[docs] def should_evaluate(self, epoch: int) -> bool: """Check if the stopper should be evaluated on the given epoch.""" raise NotImplementedError
[docs] @abstractmethod def should_stop(self, epoch: int) -> bool: """Validate on validation set and check for termination condition.""" raise NotImplementedError
[docs] @abstractmethod def get_summary_dict(self) -> Mapping[str, Any]: """Get a summary dict.""" raise NotImplementedError
def _write_from_summary_dict( # noqa: B027 self, *, frequency: int, patience: int, remaining_patience: int, relative_delta: float, metric: str, larger_is_better: bool, results: List[float], stopped: bool, best_epoch: int, best_metric: float, ): pass
[docs] @staticmethod def load_summary_dict_from_training_loop_checkpoint(path: Union[str, pathlib.Path]) -> Mapping[str, Any]: """Load the summary dict from a training loop checkpoint. :param path: Path of the file where to store the state in. :return: The summary dict of the stopper at the time of saving the checkpoint. """"=> loading stopper summary dict from training loop checkpoint in '{path}'") checkpoint = torch.load(path)"=> loaded stopper summary dictionary from checkpoint in '{path}'") return checkpoint["stopper_dict"]
[docs]class NopStopper(Stopper): """A stopper that does nothing."""
[docs] def should_evaluate(self, epoch: int) -> bool: """Return false; should never evaluate.""" return False
[docs] def should_stop(self, epoch: int) -> bool: """Return false; should never stop.""" return False
[docs] def get_summary_dict(self) -> Mapping[str, Any]: """Return empty mapping, doesn't have any attributes.""" return dict()