<filename>torch_tools/utils/strategy_finder.py
# from torch_tools.utils import TensorboardLogs
#
#
# def find_best_model(tensorboard_logs_path: str, tag: str, best_fn: min):
#     logs = TensorboardLogs(tensorboard_logs_path)
#
#     for metric in logs.scalars(tag):
#         if
#

<filename>torch_tools/utils/strategy_finder.py
# from torch_tools.utils import TensorboardLogs
#
#
# def find_best_model(tensorboard_logs_path: str, tag: str, best_fn: min):
#     logs = TensorboardLogs(tensorboard_logs_path)
#
#     for metric in logs.scalars(tag):
#         if
#

# from torch_tools.utils import TensorboardLogs # # # def find_best_model(tensorboard_logs_path: str, tag: str, best_fn: min): #     logs = TensorboardLogs(tensorboard_logs_path) # #     for metric in logs.scalars(tag): #         if #