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@ATATC ATATC commented Nov 13, 2025

See #107.

…reation and model loading. Updated imports in `__init__.py`. (#107)
…odel handling and removed redundant `build_network()` abstraction. (#107)
@ATATC ATATC added this to the 1.1.0 milestone Nov 13, 2025
@ATATC ATATC self-assigned this Nov 13, 2025
@ATATC ATATC added enhancement New feature or request todo New task or assignment labels Nov 13, 2025
@ATATC ATATC linked an issue Nov 13, 2025 that may be closed by this pull request
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ATATC commented Nov 13, 2025

Tomorrow's todo: add method recover_from(experiment_id: str) -> Self

…m()` and `continue_training()` methods, tracking training arguments, and updating epoch handling for checkpoint recovery (#107).
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ATATC commented Nov 30, 2025

Note that now epoch starts counting at 0.

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ATATC commented Dec 1, 2025

@perctrix Can you quickly test the new features?

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perctrix commented Dec 1, 2025

LGTM

@ATATC ATATC merged commit e9ce7f9 into main Dec 1, 2025
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@ATATC ATATC deleted the 107 branch December 1, 2025 19:48
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perctrix commented Dec 1, 2025

@ATATC Seems a problem in Trainer:

Traceback (most recent call last):
  File "D:\workstation\ML\MIPCandy\mipcandy-bundles\lsnet-seg\test_lsnet_BRaTS_random_patch_sliding.py", line 31, in <module>
    trainer.train(num_epochs=100, note="BRaTS", early_stop_tolerance=10)
  File "D:\workstation\ML\MIPCandy\mipcandy\training.py", line 441, in train
    raise e
  File "D:\workstation\ML\MIPCandy\mipcandy\training.py", line 435, in train
    self.save_everything_for_recovery(toolbox, self._tracker, **training_arguments)
TypeError: Trainer.save_everything_for_recovery() got multiple values for argument 'self'

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ATATC commented Dec 1, 2025

Can you create a new issue for that?

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Support loading a checkpoint in Trainer

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