Index

Symbols

(th.Tensor (tint.datasets.Hawkes.intensity parameter) (tint.datasets.Hawkes.true_saliency_t parameter) **kwargs (tint.attr.FeatureAblation.attribute parameter) (tint.attr.models.ExtremalMaskNet.forward parameter) (tint.attr.models.MaskNet.forward parameter) (tint.attr.NonLinearitiesTunnel.attribute parameter) (tint.attr.TimeForwardTunnel.attribute parameter) (tint.metrics.lipschitz_max parameter), [1], [2] (tint.metrics.weights.lof_weights parameter), [1] (tint.models.Net.forward parameter)

*args (tint.attr.models.ExtremalMaskNet.forward parameter) (tint.attr.models.MaskNet.forward parameter) (tint.models.Net.forward parameter)

A

accuracy() (in module tint.metrics) activation (tint.models.TransformerEncoder parameter), [1], [2] activation_final (tint.models.MLP parameter), [1], [2] activations (tint.models.CNN parameter), [1], [2] (tint.models.MLP parameter), [1], [2] additional_forward_args (tint.attr.AugmentedOcclusion.attribute parameter) (tint.attr.BayesKernelShap.attribute parameter) (tint.attr.BayesLime.attribute parameter) (tint.attr.DiscretetizedIntegratedGradients.attribute parameter) (tint.attr.DynaMask.attribute parameter) (tint.attr.ExtremalMask.attribute parameter) (tint.attr.FeatureAblation.attribute parameter) (tint.attr.Fit.attribute parameter) (tint.attr.Fit.representation parameter) (tint.attr.GeodesicIntegratedGradients.attribute parameter) (tint.attr.Occlusion.attribute parameter) (tint.attr.SequentialIntegratedGradients.attribute parameter) (tint.attr.TemporalAugmentedOcclusion.attribute parameter) (tint.attr.TemporalIntegratedGradients.attribute parameter) (tint.attr.TemporalOcclusion.attribute parameter) (tint.metrics.accuracy parameter), [1], [2] (tint.metrics.comprehensiveness parameter), [1], [2] (tint.metrics.cross_entropy parameter), [1], [2] (tint.metrics.log_odds parameter), [1], [2] (tint.metrics.mae parameter), [1], [2] (tint.metrics.mse parameter), [1], [2] (tint.metrics.sufficiency parameter), [1], [2] alpha (tint.datasets.Hawkes parameter), [1], [2] (tint.datasets.Hawkes.generate_points parameter) (tint.datasets.Hawkes.intensity parameter) (tint.datasets.Hawkes.true_saliency_t parameter) ar (tint.datasets.Arma parameter), [1], [2] Arma (class in tint.datasets) attribute() (tint.attr.AugmentedOcclusion method) (tint.attr.BayesKernelShap method) (tint.attr.BayesLime method) (tint.attr.DiscretetizedIntegratedGradients method) (tint.attr.DynaMask method) (tint.attr.ExtremalMask method) (tint.attr.FeatureAblation method) (tint.attr.Fit method) (tint.attr.GeodesicIntegratedGradients method) (tint.attr.NonLinearitiesTunnel method) (tint.attr.Occlusion method) (tint.attr.Retain method) (tint.attr.SequentialIntegratedGradients method) (tint.attr.TemporalAugmentedOcclusion method) (tint.attr.TemporalIntegratedGradients method) (tint.attr.TemporalOcclusion method) (tint.attr.TimeForwardTunnel method)

attribution_method (tint.attr.NonLinearitiesTunnel parameter), [1], [2] (tint.attr.TimeForwardTunnel parameter), [1], [2] attributions (tint.metrics.accuracy parameter), [1], [2] (tint.metrics.comprehensiveness parameter), [1], [2] (tint.metrics.cross_entropy parameter), [1], [2] (tint.metrics.log_odds parameter), [1], [2] (tint.metrics.mae parameter), [1], [2] (tint.metrics.mse parameter), [1], [2] (tint.metrics.sufficiency parameter), [1], [2] (tint.metrics.white_box.aup parameter), [1], [2] (tint.metrics.white_box.auprc parameter), [1], [2] (tint.metrics.white_box.aur parameter), [1], [2] (tint.metrics.white_box.entropy parameter), [1], [2] (tint.metrics.white_box.information parameter), [1], [2] (tint.metrics.white_box.mae parameter), [1], [2] (tint.metrics.white_box.mse parameter), [1], [2] (tint.metrics.white_box.rmse parameter), [1], [2] (tint.metrics.white_box.roc_auc parameter), [1], [2] attributions_fn (tint.attr.AugmentedOcclusion.attribute parameter) (tint.attr.FeatureAblation.attribute parameter) (tint.attr.Occlusion.attribute parameter) (tint.attr.TemporalAugmentedOcclusion.attribute parameter) (tint.attr.TemporalOcclusion.attribute parameter) AugmentedOcclusion (class in tint.attr) aup() (in module tint.metrics.white_box) auprc() (in module tint.metrics.white_box) aur() (in module tint.metrics.white_box) auxiliary_data (tint.attr.models.scale_inputs parameter), [1], [2]

B

baselines (tint.attr.BayesKernelShap.attribute parameter) (tint.attr.BayesLime.attribute parameter) (tint.attr.ExtremalMask.attribute parameter) (tint.attr.FeatureAblation.attribute parameter) (tint.attr.GeodesicIntegratedGradients.attribute parameter) (tint.attr.Occlusion.attribute parameter) (tint.attr.SequentialIntegratedGradients.attribute parameter) (tint.attr.TemporalIntegratedGradients.attribute parameter) (tint.attr.TemporalOcclusion.attribute parameter) (tint.metrics.accuracy parameter), [1], [2] (tint.metrics.comprehensiveness parameter), [1], [2] (tint.metrics.cross_entropy parameter), [1], [2] (tint.metrics.log_odds parameter), [1], [2] (tint.metrics.mae parameter), [1], [2] (tint.metrics.mse parameter), [1], [2] (tint.metrics.sufficiency parameter), [1], [2] batch (tint.attr.models.JointFeatureGeneratorNet.test_step parameter) (tint.attr.models.JointFeatureGeneratorNet.training_step parameter) (tint.attr.models.JointFeatureGeneratorNet.validation_step parameter) (tint.attr.models.MaskNet.predict_step parameter) (tint.models.Net.predict_step parameter) (tint.models.Net.test_step parameter) (tint.models.Net.training_step parameter) (tint.models.Net.validation_step parameter) batch_idx (tint.attr.models.JointFeatureGeneratorNet.test_step parameter) (tint.attr.models.JointFeatureGeneratorNet.training_step parameter) (tint.attr.models.JointFeatureGeneratorNet.validation_step parameter) (tint.attr.models.MaskNet.predict_step parameter) (tint.models.Net.predict_step parameter) (tint.models.Net.test_step parameter) (tint.models.Net.training_step parameter) (tint.models.Net.validation_step parameter)

batch_size (tint.attr.DynaMask.attribute parameter) (tint.attr.ExtremalMask.attribute parameter) (tint.attr.Fit parameter), [1], [2] (tint.attr.models.ExtremalMaskNet parameter), [1], [2] (tint.attr.models.ExtremalMaskNN parameter) (tint.datasets.Arma parameter), [1], [2] (tint.datasets.BioBank parameter), [1], [2] (tint.datasets.Hawkes parameter), [1], [2] (tint.datasets.HMM parameter), [1], [2] (tint.datasets.Mimic3 parameter), [1], [2] BayesKernelShap (class in tint.attr) BayesLime (class in tint.attr) Bert() (in module tint.models) bias (tint.models.MLP parameter), [1], [2] (tint.models.RNN parameter), [1], [2] bidirectional (tint.models.RNN parameter), [1], [2] BioBank (class in tint.datasets) BLRRegression (class in tint.attr.models) BLRRidge (class in tint.attr.models) build_discretized_features() (tint.datasets.BioBank method) build_discretized_labels() (tint.datasets.BioBank method) build_features() (tint.datasets.BioBank method) build_labels() (tint.datasets.BioBank method)

C

cache_dir (tint.models.Bert parameter), [1], [2] (tint.models.DistilBert parameter), [1], [2] (tint.models.Roberta parameter), [1], [2] CNN (class in tint.models) comprehensiveness() (in module tint.metrics) compute_curvature() (tint.attr.GeodesicIntegratedGradients static method) config (tint.models.Bert parameter), [1], [2] (tint.models.DistilBert parameter), [1], [2] (tint.models.Roberta parameter), [1], [2]

configure_optimizers() (tint.attr.models.ExtremalMaskNet method) (tint.attr.models.MaskNet method) (tint.models.Net method) corr_features (tint.datasets.HMM parameter), [1], [2] cross_entropy() (in module tint.metrics)

D

d_model (tint.models.TransformerEncoder parameter), [1], [2] data (tint.attr.AugmentedOcclusion parameter), [1], [2] (tint.attr.GeodesicIntegratedGradients parameter), [1], [2] (tint.attr.TemporalAugmentedOcclusion parameter), [1], [2] (tint.metrics.weights.lof_weights parameter), [1] data_dir (tint.datasets.Arma parameter), [1], [2] (tint.datasets.BioBank parameter), [1], [2] (tint.datasets.Hawkes parameter), [1], [2] (tint.datasets.HMM parameter), [1], [2] (tint.datasets.Mimic3 parameter), [1], [2] dataloader_id (tint.attr.models.JointFeatureGeneratorNet.test_step parameter) (tint.models.Net.test_step parameter) dataloader_idx (tint.attr.models.JointFeatureGeneratorNet.validation_step parameter) (tint.attr.models.MaskNet.predict_step parameter) (tint.models.Net.predict_step parameter) (tint.models.Net.validation_step parameter) datamodule (tint.attr.Fit parameter), [1], [2] (tint.attr.Retain parameter), [1], [2] decay (tint.datasets.Hawkes parameter), [1], [2] (tint.datasets.Hawkes.generate_points parameter) (tint.datasets.Hawkes.intensity parameter) (tint.datasets.Hawkes.true_saliency_t parameter) Default to ``'greedy'`` (tint.attr.models.scale_inputs parameter), [1], [2] deletion_mode (tint.attr.models.Mask parameter) (tint.attr.models.MaskNet parameter), [1], [2] device (tint.attr.models.scale_inputs parameter), [1], [2] dim_alpha (tint.attr.models.Retain parameter) (tint.attr.models.RetainNet parameter), [1], [2] dim_beta (tint.attr.models.Retain parameter) (tint.attr.models.RetainNet parameter), [1], [2] dim_emb (tint.attr.models.Retain parameter) (tint.attr.models.RetainNet parameter), [1], [2]

dim_feedforward (tint.models.TransformerEncoder parameter), [1], [2] dim_output (tint.attr.models.Retain parameter) (tint.attr.models.RetainNet parameter), [1], [2] DiscretetizedIntegratedGradients (class in tint.attr) discretised (tint.datasets.BioBank parameter), [1], [2] dist_hidden_size (tint.attr.models.JointFeatureGenerator parameter) (tint.attr.models.JointFeatureGeneratorNet parameter), [1], [2] distance (tint.attr.GeodesicIntegratedGradients.attribute parameter) distance_metric (tint.attr.Fit.attribute parameter) (tint.attr.Fit.representation parameter) distance_mode (tint.metrics.weights.lime_weights parameter), [1] DistilBert() (in module tint.models) draw_baseline_from_distrib (tint.metrics.accuracy parameter), [1], [2] (tint.metrics.comprehensiveness parameter), [1], [2] (tint.metrics.cross_entropy parameter), [1], [2] (tint.metrics.log_odds parameter), [1], [2] (tint.metrics.mae parameter), [1], [2] (tint.metrics.mse parameter), [1], [2] (tint.metrics.sufficiency parameter), [1], [2] dropout (tint.models.CNN parameter), [1], [2] (tint.models.MLP parameter), [1], [2] (tint.models.RNN parameter), [1], [2] (tint.models.TransformerEncoder parameter), [1], [2] dropout_context (tint.attr.models.Retain parameter) (tint.attr.models.RetainNet parameter), [1], [2] dropout_emb (tint.attr.models.Retain parameter) (tint.attr.models.RetainNet parameter), [1], [2] dropout_input (tint.attr.models.Retain parameter) (tint.attr.models.RetainNet parameter), [1], [2] dt (tint.datasets.Hawkes.generate_points parameter) DynaMask (class in tint.attr)

E

embeddings (tint.attr.LofKernelShap parameter), [1], [2] (tint.attr.LofLime parameter), [1], [2] enable_nested_tensor (tint.models.TransformerEncoder parameter), [1], [2] entropy() (in module tint.metrics.white_box) events (tint.datasets.BioBank.build_discretized_features parameter) (tint.datasets.BioBank.build_discretized_labels parameter) (tint.datasets.BioBank.build_features parameter) (tint.datasets.BioBank.build_labels parameter)

explanation_func (tint.metrics.lipschitz_max parameter), [1], [2] ExtremalMask (class in tint.attr) ExtremalMaskNet (class in tint.attr.models) ExtremalMaskNN (class in tint.attr.models)

F

factor (tint.attr.models.scale_inputs parameter), [1], [2] fasttext (tint.datasets.BioBank parameter), [1], [2] feature_mask (tint.attr.BayesKernelShap.attribute parameter) (tint.attr.BayesLime.attribute parameter) (tint.attr.FeatureAblation.attribute parameter) FeatureAblation (class in tint.attr) features (tint.attr.Fit parameter), [1], [2] (tint.attr.Retain parameter), [1], [2] (tint.datasets.Arma parameter), [1], [2] Fit (class in tint.attr) flatten (tint.models.CNN parameter), [1], [2] fold (tint.datasets.Arma parameter), [1], [2] (tint.datasets.BioBank parameter), [1], [2] (tint.datasets.Hawkes parameter), [1], [2] (tint.datasets.HMM parameter), [1], [2] (tint.datasets.Mimic3 parameter), [1], [2] forward() (tint.attr.models.ExtremalMaskNet method) (tint.attr.models.ExtremalMaskNN method) (tint.attr.models.JointFeatureGenerator method) (tint.attr.models.Mask method) (tint.attr.models.MaskNet method) (tint.attr.models.Retain method) (tint.models.CNN method) (tint.models.MLP method) (tint.models.Net method) (tint.models.RNN method) (tint.models.TransformerEncoder method)

forward_func (tint.attr.AugmentedOcclusion parameter), [1], [2] (tint.attr.BayesKernelShap parameter), [1], [2] (tint.attr.BayesLime parameter), [1], [2] (tint.attr.DiscretetizedIntegratedGradients parameter), [1], [2] (tint.attr.DynaMask parameter), [1], [2] (tint.attr.ExtremalMask parameter), [1], [2] (tint.attr.Fit parameter), [1], [2] (tint.attr.GeodesicIntegratedGradients parameter), [1], [2] (tint.attr.LofKernelShap parameter), [1], [2] (tint.attr.LofLime parameter), [1], [2] (tint.attr.models.ExtremalMaskNet parameter), [1], [2] (tint.attr.models.ExtremalMaskNN parameter) (tint.attr.models.Mask parameter) (tint.attr.models.MaskNet parameter), [1], [2] (tint.attr.Occlusion parameter), [1], [2] (tint.attr.Retain parameter), [1], [2] (tint.attr.SequentialIntegratedGradients parameter), [1], [2] (tint.attr.TemporalAugmentedOcclusion parameter), [1], [2] (tint.attr.TemporalIntegratedGradients parameter), [1], [2] (tint.attr.TemporalOcclusion parameter), [1], [2] (tint.metrics.accuracy parameter), [1], [2] (tint.metrics.comprehensiveness parameter), [1], [2] (tint.metrics.cross_entropy parameter), [1], [2] (tint.metrics.log_odds parameter), [1], [2] (tint.metrics.mae parameter), [1], [2] (tint.metrics.mse parameter), [1], [2] (tint.metrics.sufficiency parameter), [1], [2]

G

generate_points() (tint.datasets.Hawkes static method) generator (tint.attr.Fit parameter), [1], [2] GeodesicIntegratedGradients (class in tint.attr)

get_features() (tint.datasets.Hawkes static method) get_labels() (tint.datasets.Hawkes static method) get_white_box() (tint.datasets.Arma static method) granularity (tint.datasets.BioBank parameter), [1], [2]

H

has_convergence_delta() (tint.attr.GeodesicIntegratedGradients method) (tint.attr.NonLinearitiesTunnel method) (tint.attr.SequentialIntegratedGradients method) (tint.attr.TimeForwardTunnel method)

Hawkes (class in tint.datasets) hidden_size (tint.models.RNN parameter), [1], [2] hiddens (tint.attr.models.JointFeatureGeneratorNet.training_step parameter) (tint.models.Net.training_step parameter) HMM (class in tint.datasets)

I

imp_features (tint.datasets.HMM parameter), [1], [2] information() (in module tint.metrics.white_box) initial_mask_coef (tint.attr.models.Mask parameter) (tint.attr.models.MaskNet parameter), [1], [2] input_ids (tint.attr.models.scale_inputs parameter), [1], [2] input_size (tint.models.RNN parameter), [1], [2] inputs (tint.attr.AugmentedOcclusion.attribute parameter) (tint.attr.BayesKernelShap.attribute parameter) (tint.attr.BayesLime.attribute parameter) (tint.attr.DynaMask.attribute parameter) (tint.attr.ExtremalMask.attribute parameter) (tint.attr.FeatureAblation.attribute parameter) (tint.attr.Fit.attribute parameter) (tint.attr.Fit.representation parameter) (tint.attr.GeodesicIntegratedGradients.attribute parameter) (tint.attr.NonLinearitiesTunnel.attribute parameter) (tint.attr.Occlusion.attribute parameter) (tint.attr.Retain.attribute parameter) (tint.attr.Retain.representation parameter) (tint.attr.SequentialIntegratedGradients.attribute parameter) (tint.attr.TemporalAugmentedOcclusion.attribute parameter) (tint.attr.TemporalIntegratedGradients.attribute parameter) (tint.attr.TemporalOcclusion.attribute parameter) (tint.attr.TimeForwardTunnel.attribute parameter) (tint.datasets.Arma.get_white_box parameter) (tint.metrics.accuracy parameter), [1], [2] (tint.metrics.comprehensiveness parameter), [1], [2] (tint.metrics.cross_entropy parameter), [1], [2] (tint.metrics.lipschitz_max parameter), [1], [2] (tint.metrics.log_odds parameter), [1], [2] (tint.metrics.mae parameter), [1], [2] (tint.metrics.mse parameter), [1], [2] (tint.metrics.sufficiency parameter), [1], [2]

intensity() (tint.datasets.Hawkes static method) internal_batch_size (tint.attr.GeodesicIntegratedGradients.attribute parameter) (tint.attr.SequentialIntegratedGradients.attribute parameter) (tint.attr.TemporalIntegratedGradients.attribute parameter) interpretable_model (tint.attr.BayesKernelShap parameter), [1], [2] (tint.attr.BayesLime parameter), [1], [2] (tint.attr.LofLime parameter), [1], [2] is_temporal (tint.attr.AugmentedOcclusion parameter), [1], [2] (tint.attr.TemporalAugmentedOcclusion parameter), [1], [2]

J

JointFeatureGenerator (class in tint.attr.models)

JointFeatureGeneratorNet (class in tint.attr.models)

K

keep_ratio (tint.attr.models.Mask parameter) (tint.attr.models.MaskNet parameter), [1], [2] kernel_width (tint.metrics.weights.lime_weights parameter), [1]

kwargs (tint.models.Bert parameter), [1], [2] (tint.models.DistilBert parameter), [1], [2] (tint.models.Roberta parameter), [1], [2]

L

l2 (tint.attr.models.ExtremalMaskNet parameter), [1], [2] (tint.attr.models.JointFeatureGeneratorNet parameter), [1], [2] (tint.attr.models.MaskNet parameter), [1], [2] (tint.attr.models.RetainNet parameter), [1], [2] (tint.models.Net parameter), [1], [2] label (tint.datasets.BioBank parameter), [1], [2] lambda_1 (tint.attr.models.ExtremalMaskNet parameter), [1], [2] lambda_2 (tint.attr.models.ExtremalMaskNet parameter), [1], [2] latent_size (tint.attr.models.JointFeatureGenerator parameter) (tint.attr.models.JointFeatureGeneratorNet parameter), [1], [2] layer_norm_eps (tint.models.TransformerEncoder parameter), [1], [2] layers (tint.models.Net parameter), [1], [2] lime_weights() (in module tint.metrics.weights) lipschitz_max() (in module tint.metrics) lof_weights() (in module tint.metrics.weights) LofKernelShap (class in tint.attr) LofLime (class in tint.attr) log_odds() (in module tint.metrics)

loss (tint.attr.models.ExtremalMaskNet parameter), [1], [2] (tint.attr.models.MaskNet parameter), [1], [2] (tint.attr.models.RetainNet parameter), [1], [2] (tint.models.Net parameter), [1], [2] lr (tint.attr.models.ExtremalMaskNet parameter), [1], [2] (tint.attr.models.JointFeatureGeneratorNet parameter), [1], [2] (tint.attr.models.MaskNet parameter), [1], [2] (tint.attr.models.RetainNet parameter), [1], [2] (tint.models.Net parameter), [1], [2] lr_scheduler (tint.attr.models.ExtremalMaskNet parameter), [1], [2] (tint.attr.models.JointFeatureGeneratorNet parameter), [1], [2] (tint.attr.models.MaskNet parameter), [1], [2] (tint.attr.models.RetainNet parameter), [1], [2] (tint.models.Net parameter), [1], [2] lr_scheduler_args (tint.attr.models.ExtremalMaskNet parameter), [1], [2] (tint.attr.models.JointFeatureGeneratorNet parameter), [1], [2] (tint.attr.models.MaskNet parameter), [1], [2] (tint.attr.models.RetainNet parameter), [1], [2] (tint.models.Net parameter), [1], [2]

M

ma (tint.datasets.Arma parameter), [1], [2] mae() (in module tint.metrics) (in module tint.metrics.white_box) many_to_one (tint.models.RNN parameter), [1], [2] (tint.models.TransformerEncoder parameter), [1], [2] Mask (class in tint.attr.models) mask_largest (tint.metrics.accuracy parameter), [1], [2] (tint.metrics.cross_entropy parameter), [1], [2] (tint.metrics.mae parameter), [1], [2] (tint.metrics.mse parameter), [1], [2] mask_net (tint.attr.DynaMask.attribute parameter) (tint.attr.ExtremalMask.attribute parameter) MaskNet (class in tint.attr.models) max_examples_per_batch (tint.metrics.lipschitz_max parameter), [1], [2] maximum_time (tint.datasets.BioBank parameter), [1], [2] method (tint.attr.GeodesicIntegratedGradients.attribute parameter) (tint.attr.SequentialIntegratedGradients.attribute parameter) (tint.attr.TemporalIntegratedGradients.attribute parameter) Mimic3 (class in tint.datasets) MLP (class in tint.models) model (tint.attr.models.ExtremalMaskNet parameter), [1], [2] (tint.attr.models.ExtremalMaskNN parameter)

module tint.attr tint.attr.models tint.datasets tint.metrics tint.metrics.weights tint.metrics.white_box tint.models mse() (in module tint.metrics) (in module tint.metrics.white_box) mu (tint.datasets.Hawkes parameter), [1], [2] (tint.datasets.Hawkes.generate_points parameter) (tint.datasets.Hawkes.intensity parameter) (tint.datasets.Hawkes.true_saliency_t parameter) multilabel (tint.attr.Fit.attribute parameter) (tint.attr.Fit.representation parameter) multiply_by_inputs (tint.attr.DiscretetizedIntegratedGradients parameter), [1], [2] (tint.attr.GeodesicIntegratedGradients parameter), [1], [2] (tint.attr.SequentialIntegratedGradients parameter), [1], [2] (tint.attr.TemporalIntegratedGradients parameter), [1], [2]

N

n_folds (tint.datasets.Arma parameter), [1], [2] (tint.datasets.BioBank parameter), [1], [2] (tint.datasets.Hawkes parameter), [1], [2] (tint.datasets.HMM parameter), [1], [2] (tint.datasets.Mimic3 parameter), [1], [2] n_neighbors (tint.attr.GeodesicIntegratedGradients parameter), [1], [2] (tint.attr.GeodesicIntegratedGradients.attribute parameter) (tint.attr.LofKernelShap parameter), [1], [2] (tint.attr.LofLime parameter), [1], [2] (tint.metrics.weights.lof_weights parameter), [1] n_perturb_samples (tint.metrics.lipschitz_max parameter), [1], [2] n_samples (tint.attr.BayesKernelShap.attribute parameter) (tint.attr.BayesLime.attribute parameter) (tint.attr.Fit.attribute parameter) (tint.attr.Fit.representation parameter) (tint.metrics.accuracy parameter), [1], [2] (tint.metrics.comprehensiveness parameter), [1], [2] (tint.metrics.cross_entropy parameter), [1], [2] (tint.metrics.log_odds parameter), [1], [2] (tint.metrics.mae parameter), [1], [2] (tint.metrics.mse parameter), [1], [2] (tint.metrics.sufficiency parameter), [1], [2] n_samples_batch_size (tint.metrics.accuracy parameter), [1], [2] (tint.metrics.comprehensiveness parameter), [1], [2] (tint.metrics.cross_entropy parameter), [1], [2] (tint.metrics.log_odds parameter), [1], [2] (tint.metrics.mae parameter), [1], [2] (tint.metrics.mse parameter), [1], [2] (tint.metrics.sufficiency parameter), [1], [2] n_sampling (tint.attr.AugmentedOcclusion parameter), [1], [2] (tint.attr.TemporalAugmentedOcclusion parameter), [1], [2]

n_signal (tint.datasets.HMM parameter), [1], [2] n_state (tint.datasets.HMM parameter), [1], [2] n_steiner (tint.attr.GeodesicIntegratedGradients.attribute parameter) n_steps (tint.attr.DiscretetizedIntegratedGradients.attribute parameter) (tint.attr.GeodesicIntegratedGradients.attribute parameter) (tint.attr.SequentialIntegratedGradients.attribute parameter) (tint.attr.TemporalIntegratedGradients.attribute parameter) Net (class in tint.models) nhead (tint.models.TransformerEncoder parameter), [1], [2] nn (tint.attr.GeodesicIntegratedGradients parameter), [1], [2] NonLinearitiesTunnel (class in tint.attr) norm (tint.models.CNN parameter), [1], [2] (tint.models.MLP parameter), [1], [2] norm_first (tint.models.TransformerEncoder parameter), [1], [2] norm_ord (tint.metrics.lipschitz_max parameter), [1], [2] normalize (tint.metrics.white_box.aup parameter), [1], [2] (tint.metrics.white_box.auprc parameter), [1], [2] (tint.metrics.white_box.aur parameter), [1], [2] (tint.metrics.white_box.entropy parameter), [1], [2] (tint.metrics.white_box.information parameter), [1], [2] (tint.metrics.white_box.mae parameter), [1], [2] (tint.metrics.white_box.mse parameter), [1], [2] (tint.metrics.white_box.rmse parameter), [1], [2] (tint.metrics.white_box.roc_auc parameter), [1], [2] num_layers (tint.models.RNN parameter), [1], [2] (tint.models.TransformerEncoder parameter), [1], [2] num_workers (tint.datasets.Arma parameter), [1], [2] (tint.datasets.BioBank parameter), [1], [2] (tint.datasets.Hawkes parameter), [1], [2] (tint.datasets.HMM parameter), [1], [2] (tint.datasets.Mimic3 parameter), [1], [2]

O

Occlusion (class in tint.attr) on_train_epoch_end() (tint.attr.models.MaskNet method) optim (tint.attr.models.ExtremalMaskNet parameter), [1], [2] (tint.attr.models.JointFeatureGeneratorNet parameter), [1], [2] (tint.attr.models.MaskNet parameter), [1], [2] (tint.attr.models.RetainNet parameter), [1], [2] (tint.models.Net parameter), [1], [2]

optimizer_idx (tint.attr.models.JointFeatureGeneratorNet.training_step parameter) (tint.models.Net.training_step parameter)

P

p0 (tint.datasets.HMM parameter), [1], [2] percent (tint.attr.BayesKernelShap parameter), [1], [2] (tint.attr.BayesLime parameter), [1], [2] perturb_func (tint.attr.BayesLime parameter), [1], [2] (tint.attr.LofLime parameter), [1], [2] (tint.metrics.lipschitz_max parameter), [1], [2] perturb_radius (tint.metrics.lipschitz_max parameter), [1], [2] perturbation (tint.attr.models.Mask parameter) (tint.attr.models.MaskNet parameter), [1], [2] perturbations_per_eval (tint.attr.AugmentedOcclusion.attribute parameter) (tint.attr.BayesKernelShap.attribute parameter) (tint.attr.BayesLime.attribute parameter) (tint.attr.FeatureAblation.attribute parameter) (tint.attr.Occlusion.attribute parameter) (tint.attr.TemporalAugmentedOcclusion.attribute parameter) (tint.attr.TemporalOcclusion.attribute parameter)

point (tint.datasets.Hawkes.get_features parameter) (tint.datasets.Hawkes.get_labels parameter) pooling (tint.models.CNN parameter), [1], [2] predict_step() (tint.attr.models.MaskNet method) (tint.models.Net method) preservation_mode (tint.attr.models.ExtremalMaskNet parameter), [1], [2] pretrained_model_name_or_path (tint.models.Bert parameter), [1], [2] (tint.models.DistilBert parameter), [1], [2] (tint.models.Roberta parameter), [1], [2] prop_val (tint.datasets.Arma parameter), [1], [2] (tint.datasets.BioBank parameter), [1], [2] (tint.datasets.Hawkes parameter), [1], [2] (tint.datasets.HMM parameter), [1], [2] (tint.datasets.Mimic3 parameter), [1], [2]

R

ref_input_ids (tint.attr.models.scale_inputs parameter), [1], [2] replace_with (tint.attr.NonLinearitiesTunnel.attribute parameter) representation() (tint.attr.Fit method) (tint.attr.Retain method) Retain (class in tint.attr) (class in tint.attr.models) retain (tint.attr.Retain parameter), [1], [2] RetainNet (class in tint.attr.models) return_best_ratio (tint.attr.DynaMask.attribute parameter) return_convergence_delta (tint.attr.DiscretetizedIntegratedGradients.attribute parameter) (tint.attr.GeodesicIntegratedGradients.attribute parameter) (tint.attr.SequentialIntegratedGradients.attribute parameter) (tint.attr.TemporalIntegratedGradients.attribute parameter) return_curvature (tint.attr.GeodesicIntegratedGradients.attribute parameter)

return_input_shape (tint.attr.BayesKernelShap.attribute parameter) (tint.attr.BayesLime.attribute parameter) return_temporal_attributions (tint.attr.DynaMask.attribute parameter) (tint.attr.ExtremalMask.attribute parameter) (tint.attr.Fit.attribute parameter) (tint.attr.Retain.attribute parameter) (tint.attr.TemporalIntegratedGradients.attribute parameter) (tint.attr.TimeForwardTunnel.attribute parameter) rmse() (in module tint.metrics.white_box) RNN (class in tint.models) rnn (tint.models.RNN parameter), [1], [2] rnn_hidden_size (tint.attr.models.JointFeatureGenerator parameter) (tint.attr.models.JointFeatureGeneratorNet parameter), [1], [2] Roberta() (in module tint.models) roc_auc() (in module tint.metrics.white_box)

S

scale (tint.datasets.HMM parameter), [1], [2] scale_inputs() (in module tint.attr.models) scaled_features (tint.attr.DiscretetizedIntegratedGradients.attribute parameter) seed (tint.datasets.Arma parameter), [1], [2] (tint.datasets.BioBank parameter), [1], [2] (tint.datasets.Hawkes parameter), [1], [2] (tint.datasets.Hawkes.generate_points parameter) (tint.datasets.HMM parameter), [1], [2] (tint.datasets.Mimic3 parameter), [1], [2] SequentialIntegratedGradients (class in tint.attr) show_progress (tint.attr.AugmentedOcclusion.attribute parameter) (tint.attr.BayesKernelShap.attribute parameter) (tint.attr.BayesLime.attribute parameter) (tint.attr.FeatureAblation.attribute parameter) (tint.attr.Fit.attribute parameter) (tint.attr.Fit.representation parameter) (tint.attr.GeodesicIntegratedGradients.attribute parameter) (tint.attr.Occlusion.attribute parameter) (tint.attr.SequentialIntegratedGradients.attribute parameter) (tint.attr.TemporalAugmentedOcclusion.attribute parameter) (tint.attr.TemporalIntegratedGradients.attribute parameter) (tint.attr.TemporalOcclusion.attribute parameter) (tint.attr.TimeForwardTunnel.attribute parameter) similarity_func (tint.attr.BayesLime parameter), [1], [2] (tint.attr.LofLime parameter), [1], [2] size_reg_factor_dilation (tint.attr.models.Mask parameter) (tint.attr.models.MaskNet parameter), [1], [2]

size_reg_factor_init (tint.attr.models.Mask parameter) (tint.attr.models.MaskNet parameter), [1], [2] sliding_window_shapes (tint.attr.AugmentedOcclusion.attribute parameter) (tint.attr.Occlusion.attribute parameter) (tint.attr.TemporalAugmentedOcclusion.attribute parameter) (tint.attr.TemporalOcclusion.attribute parameter) split (tint.datasets.Hawkes.true_saliency parameter) (tint.datasets.Hawkes.true_saliency_t parameter) src_mask (tint.models.TransformerEncoder property) std_time_to_task (tint.datasets.BioBank parameter), [1], [2] stdevs (tint.metrics.accuracy parameter), [1], [2] (tint.metrics.comprehensiveness parameter), [1], [2] (tint.metrics.cross_entropy parameter), [1], [2] (tint.metrics.log_odds parameter), [1], [2] (tint.metrics.mae parameter), [1], [2] (tint.metrics.mse parameter), [1], [2] (tint.metrics.sufficiency parameter), [1], [2] steps (tint.attr.models.scale_inputs parameter), [1], [2] strategy (tint.attr.models.scale_inputs parameter), [1], [2] (tint.attr.TemporalIntegratedGradients.attribute parameter) strides (tint.attr.AugmentedOcclusion.attribute parameter) (tint.attr.Occlusion.attribute parameter) (tint.attr.TemporalAugmentedOcclusion.attribute parameter) (tint.attr.TemporalOcclusion.attribute parameter) sufficiency() (in module tint.metrics)

T

t (tint.datasets.Hawkes.intensity parameter) (tint.datasets.Hawkes.true_saliency_t parameter) target (tint.attr.AugmentedOcclusion.attribute parameter) (tint.attr.BayesKernelShap.attribute parameter) (tint.attr.BayesLime.attribute parameter) (tint.attr.DiscretetizedIntegratedGradients.attribute parameter) (tint.attr.ExtremalMask.attribute parameter) (tint.attr.FeatureAblation.attribute parameter) (tint.attr.GeodesicIntegratedGradients.attribute parameter) (tint.attr.Occlusion.attribute parameter) (tint.attr.Retain.attribute parameter) (tint.attr.Retain.representation parameter) (tint.attr.SequentialIntegratedGradients.attribute parameter) (tint.attr.TemporalAugmentedOcclusion.attribute parameter) (tint.attr.TemporalIntegratedGradients.attribute parameter) (tint.attr.TemporalOcclusion.attribute parameter) (tint.metrics.accuracy parameter), [1], [2] (tint.metrics.comprehensiveness parameter), [1], [2] (tint.metrics.cross_entropy parameter), [1], [2] (tint.metrics.log_odds parameter), [1], [2] (tint.metrics.mae parameter), [1], [2] (tint.metrics.mse parameter), [1], [2] (tint.metrics.sufficiency parameter), [1], [2] task (tint.attr.TimeForwardTunnel.attribute parameter) (tint.datasets.Mimic3 parameter), [1], [2] temporal_additional_forward_args (tint.attr.DynaMask.attribute parameter) (tint.attr.ExtremalMask.attribute parameter) (tint.attr.Fit.attribute parameter) (tint.attr.Fit.representation parameter) (tint.attr.TemporalIntegratedGradients.attribute parameter) (tint.attr.TimeForwardTunnel.attribute parameter) temporal_labels (tint.attr.models.Retain parameter) (tint.attr.models.RetainNet parameter), [1], [2] temporal_target (tint.attr.TemporalIntegratedGradients.attribute parameter) (tint.attr.TimeForwardTunnel.attribute parameter) TemporalAugmentedOcclusion (class in tint.attr) TemporalIntegratedGradients (class in tint.attr) TemporalOcclusion (class in tint.attr) test_step() (tint.attr.models.JointFeatureGeneratorNet method) (tint.models.Net method) threshold (tint.attr.TimeForwardTunnel.attribute parameter) (tint.metrics.accuracy parameter), [1], [2] time_reg_factor (tint.attr.models.Mask parameter) (tint.attr.models.MaskNet parameter), [1], [2] time_to_task (tint.datasets.BioBank parameter), [1], [2] TimeForwardTunnel (class in tint.attr) times (tint.attr.TemporalIntegratedGradients.attribute parameter) (tint.datasets.Arma parameter), [1], [2] (tint.datasets.BioBank.build_discretized_features parameter) (tint.datasets.BioBank.build_discretized_labels parameter) (tint.datasets.BioBank.build_features parameter) (tint.datasets.BioBank.build_labels parameter) (tint.datasets.Hawkes.intensity parameter) (tint.datasets.Hawkes.true_saliency_t parameter)

tint.attr module tint.attr.models module tint.datasets module tint.metrics module tint.metrics.weights module tint.metrics.white_box module tint.models module to_replace (tint.attr.NonLinearitiesTunnel.attribute parameter) topk (tint.metrics.accuracy parameter), [1], [2] (tint.metrics.comprehensiveness parameter), [1], [2] (tint.metrics.cross_entropy parameter), [1], [2] (tint.metrics.log_odds parameter), [1], [2] (tint.metrics.mae parameter), [1], [2] (tint.metrics.mse parameter), [1], [2] (tint.metrics.sufficiency parameter), [1], [2] trainer (tint.attr.DynaMask.attribute parameter) (tint.attr.ExtremalMask.attribute parameter) (tint.attr.Fit parameter), [1], [2] training_step() (tint.attr.models.JointFeatureGeneratorNet method) (tint.models.Net method) TransformerEncoder (class in tint.models) true_attributions (tint.metrics.white_box.aup parameter), [1], [2] (tint.metrics.white_box.auprc parameter), [1], [2] (tint.metrics.white_box.aur parameter), [1], [2] (tint.metrics.white_box.entropy parameter), [1], [2] (tint.metrics.white_box.information parameter), [1], [2] (tint.metrics.white_box.mae parameter), [1], [2] (tint.metrics.white_box.mse parameter), [1], [2] (tint.metrics.white_box.rmse parameter), [1], [2] (tint.metrics.white_box.roc_auc parameter), [1], [2] true_saliency (tint.datasets.Arma.get_white_box parameter) true_saliency() (tint.datasets.Hawkes method) true_saliency_t() (tint.datasets.Hawkes method)

U

units (tint.models.CNN parameter), [1], [2] (tint.models.MLP parameter), [1], [2]

V

validation_step() (tint.attr.models.JointFeatureGeneratorNet method) (tint.models.Net method) verbose (tint.datasets.BioBank.build_discretized_features parameter) (tint.datasets.BioBank.build_features parameter)

vocab_file (tint.models.Bert parameter), [1], [2] (tint.models.DistilBert parameter), [1], [2] (tint.models.Roberta parameter), [1], [2]

W

weight_fn (tint.metrics.accuracy parameter), [1], [2] (tint.metrics.comprehensiveness parameter), [1], [2] (tint.metrics.cross_entropy parameter), [1], [2] (tint.metrics.log_odds parameter), [1], [2] (tint.metrics.mae parameter), [1], [2] (tint.metrics.mse parameter), [1], [2] (tint.metrics.sufficiency parameter), [1], [2]

window (tint.datasets.Hawkes parameter), [1], [2] (tint.datasets.Hawkes.generate_points parameter)