src package§
Subpackages§
- src.datamodules package
- Subpackages
- src.datamodules.components package
- src.datamodules.mind package
- Submodules
- src.datamodules.mind.datamodule_BERT module
- src.datamodules.mind.datamodule_Base module
- src.datamodules.mind.datamodule_CollaborativeFiltering module
- src.datamodules.mind.datamodule_MKR module
- src.datamodules.mind.datamodule_NAML module
- src.datamodules.mind.datamodule_RippleNet module
- src.datamodules.mind.dataset module
- src.datamodules.mind.download module
- src.datamodules.mind.parse module
- src.datamodules.mind.preprocessing module
- Module contents
- Module contents
- Subpackages
- src.models package
- src.utils package
- src.vendor package
Submodules§
src.testing_pipeline module§
- src.testing_pipeline.test(config: DictConfig) None§
Contains minimal example of the testing pipeline. Evaluates given checkpoint on a testset.
- Parameters:
config (DictConfig) – Configuration composed by Hydra.
- Returns:
None
src.training_pipeline module§
- src.training_pipeline.train(config: DictConfig) Optional[float]§
Contains the training pipeline. Can additionally evaluate model on a testset, using best weights achieved during training.
- Parameters:
config (DictConfig) – Configuration composed by Hydra.
- Returns:
Metric score for hyperparameter optimization.
- Return type:
Optional[float]