vision_unlearning.benchmarks.I_care.configuration

Functions

Convert GUI values to backend literal values.

vision_unlearning.benchmarks.I_care.configuration.domain_unlearning_algorithm = ['FADE', 'Munba', 'UCE']

vision_unlearning.benchmarks.I_care.configuration.domain_task = ['Breeds', 'Scenes', 'People']

vision_unlearning.benchmarks.I_care.configuration.domain_model = ['Stable Diffusion 1.4']

vision_unlearning.benchmarks.I_care.configuration.domain_mp = ['Delta Clip', 'Delta Brisque', 'RMSE', 'SSIM']

vision_unlearning.benchmarks.I_care.configuration.domain_me = ['Emitter worst interfered brisque diff', 'Emitter worst interfered clip diff', 'Emitter worst...

vision_unlearning.benchmarks.I_care.configuration.domain_s = ['Clip Cosine Similarity', 'Jacc Similarity']

vision_unlearning.benchmarks.I_care.configuration.domain_l = ['Clip Embedding']

vision_unlearning.benchmarks.I_care.configuration.type_unlearning_algorithm

vision_unlearning.benchmarks.I_care.configuration.type_regression_algorithm

vision_unlearning.benchmarks.I_care.configuration.mp_to_direction: Dict[type_mp, type_direction]

vision_unlearning.benchmarks.I_care.configuration.s_to_direction: Dict[type_s, type_direction]

vision_unlearning.benchmarks.I_care.configuration.task_to_attributes_of_interest

vision_unlearning.benchmarks.I_care.configuration.unlearning_algorithm_to_epochs

vision_unlearning.benchmarks.I_care.configuration.convert_params_from_gui_to_backend(params: Dict[str, Any]) → Dict[str, Any]: Convert GUI values to backend literal values. Unknown keys are passed through unchanged. None stays None.

`domain_unlearning_algorithm`
`domain_task`
`domain_attribute`
`domain_entity`
`domain_model`
`domain_mp`
`domain_me`
`domain_s`
`domain_l`
`type_unlearning_algorithm`
`type_task`
`type_model`
`type_mp`
`type_me`
`type_s`
`type_l`
`type_regression_algorithm`
`GUI_TO_BACKEND`
`type_direction`
`mp_to_direction`
`s_to_direction`
`task_to_attributes_of_interest`
`unlearning_algorithm_to_epochs`