eegproc.model_explainability.model_agnostic package
Counterfactual optimization for differentiable models through adapters.
Submodules
- eegproc.model_explainability.model_agnostic.adapter module
CounterfactualAdapterCounterfactualAdapter.constraint()CounterfactualAdapter.default_signal_weightCounterfactualAdapter.default_state_weightCounterfactualAdapter.initial_state()CounterfactualAdapter.logits_from_state()CounterfactualAdapter.metadata()CounterfactualAdapter.nameCounterfactualAdapter.optimization_spaceCounterfactualAdapter.reconstruct()
KerasInputAdapterTrialDatasetTrialDataset.band_namesTrialDataset.channel_namesTrialDataset.channel_positionsTrialDataset.feature_orderTrialDataset.featuresTrialDataset.labelsTrialDataset.metadataTrialDataset.normalization_offsetTrialDataset.normalization_scaleTrialDataset.signal_unitTrialDataset.subject_idsTrialDataset.trial_ids
create_adapter()create_keras_input_adapter()load_json_mapping()load_trial_dataset()validate_trial_dataset()
- eegproc.model_explainability.model_agnostic.optimizer module
- eegproc.model_explainability.model_agnostic.plotting module
- eegproc.model_explainability.model_agnostic.runner module
- eegproc.model_explainability.model_agnostic.topography module