Index

A

AlternatingSubjectSetSequence (class in eegproc.deep_learning.domain_generalization.alternating_group_learning) amigos_frames() (in module eegproc.data.csv_matlab)

apply_detrend() (in module eegproc.preprocessing) apply_notch_once() (in module eegproc.preprocessing)

B

band (eegproc.data.schema.FeatureColumn attribute) band_names (eegproc.model_explainability.model_agnostic.adapter.TrialDataset attribute) bandpass_filter() (in module eegproc.preprocessing) BandSeparatedGCNEncoder (class in eegproc.deep_learning.unsupervised.GNN.GCN_band_separated) BaseEncoder (class in eegproc.deep_learning.unsupervised.BaseEncoder) BiGRUClassifier (class in eegproc.deep_learning.supervised.rnn_architectures) BiLSTMClassifier (class in eegproc.deep_learning.supervised.rnn_architectures) build() (eegproc.deep_learning.supervised.rnn_architectures.RNNClassifier method) (eegproc.deep_learning.supervised.variational_classifier.HybridClassifier method) (eegproc.deep_learning.supervised.variational_classifier.VariationalClassifier method) (eegproc.deep_learning.unsupervised.GNN.GraphConv.GraphConv method) (eegproc.deep_learning.unsupervised.GNN.GraphConvMTL.GraphConvMTL method)

build_feature_extractor() (eegproc.deep_learning.supervised.rnn_architectures.RNNClassifier method) build_parser() (in module eegproc.model_explainability.model_agnostic.runner) (in module eegproc.model_explainability.model_agnostic.topography) build_sequence_summarizer() (eegproc.deep_learning.supervised.rnn_architectures.RNNClassifier method)

C

call() (eegproc.deep_learning.supervised.supervised_contrastive_loss.SupervisedContrastiveLoss method) (eegproc.deep_learning.supervised.variational_classifier.DenseClassifier method) (eegproc.deep_learning.supervised.variational_classifier.HybridClassifier method) (eegproc.deep_learning.supervised.variational_classifier.VariationalClassifier method) (eegproc.deep_learning.unsupervised.BaseEncoder.BaseEncoder method) (eegproc.deep_learning.unsupervised.Convolutions.CNN1D.CNN1DDecoder method) (eegproc.deep_learning.unsupervised.Convolutions.CNN1D.CNN1DEncoder method) (eegproc.deep_learning.unsupervised.Convolutions.CNN2D.CNN2DDecoder method) (eegproc.deep_learning.unsupervised.Convolutions.CNN2D.CNN2DEncoder method) (eegproc.deep_learning.unsupervised.GNN.GCN.GCNDecoder method) (eegproc.deep_learning.unsupervised.GNN.GCN.GCNEncoder method) (eegproc.deep_learning.unsupervised.GNN.GCN_band_separated.BandSeparatedGCNEncoder method) (eegproc.deep_learning.unsupervised.GNN.GCN_band_separated.GCNDecoder method) (eegproc.deep_learning.unsupervised.GNN.GCNMTL.GCNMTLDecoder method) (eegproc.deep_learning.unsupervised.GNN.GCNMTL.GCNMTLEncoder method) (eegproc.deep_learning.unsupervised.GNN.GraphConv.GraphConv method) (eegproc.deep_learning.unsupervised.GNN.GraphConvMTL.GraphConvMTL method) (eegproc.deep_learning.unsupervised.VariationalAutoencoderLoss.GradientReversal method) channel (eegproc.data.schema.FeatureColumn attribute) channel_names (eegproc.model_explainability.model_agnostic.adapter.TrialDataset attribute) channel_positions (eegproc.model_explainability.model_agnostic.adapter.TrialDataset attribute) choose_dwt_level() (in module eegproc.featurization) classifier_head() (eegproc.deep_learning.supervised.rnn_architectures.RNNClassifier method)

CNN1DDecoder (class in eegproc.deep_learning.unsupervised.Convolutions.CNN1D) CNN1DEncoder (class in eegproc.deep_learning.unsupervised.Convolutions.CNN1D) CNN2DDecoder (class in eegproc.deep_learning.unsupervised.Convolutions.CNN2D) CNN2DEncoder (class in eegproc.deep_learning.unsupervised.Convolutions.CNN2D) CompactEpochLogger (class in eegproc.deep_learning.training_outputs) compute_huber_loss() (eegproc.deep_learning.unsupervised.VariationalAutoencoderLoss.VariationalAutoencoderLoss static method) compute_kl_loss() (eegproc.deep_learning.unsupervised.VariationalAutoencoderLoss.VariationalAutoencoderLoss method) compute_mi_adjacency_from_channels() (in module eegproc.deep_learning.unsupervised.GNN.GCNMTL) compute_mtl_shared_mi_adjacency() (in module eegproc.deep_learning.unsupervised.GNN.GCNMTL) compute_output_shape() (eegproc.deep_learning.unsupervised.BaseEncoder.BaseEncoder method) (eegproc.deep_learning.unsupervised.Convolutions.CNN1D.CNN1DDecoder method) (eegproc.deep_learning.unsupervised.Convolutions.CNN2D.CNN2DDecoder method) (eegproc.deep_learning.unsupervised.GNN.GCN.GCNDecoder method) (eegproc.deep_learning.unsupervised.GNN.GCN_band_separated.GCNDecoder method) compute_reconstruction_loss() (eegproc.deep_learning.unsupervised.VariationalAutoencoderLoss.VariationalAutoencoderLoss method) compute_subject_loss() (eegproc.deep_learning.unsupervised.VariationalAutoencoderLoss.VariationalAutoencoderLoss method) constraint() (eegproc.model_explainability.model_agnostic.adapter.CounterfactualAdapter method) convert_dataset() (in module eegproc.data.to_csv) CounterfactualAdapter (class in eegproc.model_explainability.model_agnostic.adapter) cowen27_frames() (in module eegproc.data.csv_cowen) create_adapter() (in module eegproc.model_explainability.model_agnostic.adapter) create_keras_input_adapter() (in module eegproc.model_explainability.model_agnostic.adapter) cross_validate_dataframe() (in module eegproc.deep_learning.cross_validation.dataframe)

D

data (eegproc.data.schema.EEGFrame attribute) deap_frames() (in module eegproc.data.csv_matlab) default_signal_weight (eegproc.model_explainability.model_agnostic.adapter.CounterfactualAdapter attribute) (eegproc.model_explainability.model_agnostic.adapter.KerasInputAdapter attribute) default_state_weight (eegproc.model_explainability.model_agnostic.adapter.CounterfactualAdapter attribute) (eegproc.model_explainability.model_agnostic.adapter.KerasInputAdapter attribute)

DenseClassifier (class in eegproc.deep_learning.supervised.variational_classifier) discriminator() (eegproc.deep_learning.supervised.variational_classifier.VariationalClassifier method) discriminator_loss() (eegproc.deep_learning.supervised.variational_classifier.DenseClassifier method) (eegproc.deep_learning.supervised.variational_classifier.VariationalClassifier method) dreamer_csv_frames() (in module eegproc.data.csv_matlab) dreamer_mat_frames() (in module eegproc.data.csv_matlab) dwt_subband_ranges() (in module eegproc.featurization)

E

eegemotions_frames() (in module eegproc.data.csv_eegemotions) EEGFrame (class in eegproc.data.schema) eegproc module eegproc.data module eegproc.data.csv_cowen module eegproc.data.csv_eegemotions module eegproc.data.csv_matlab module eegproc.data.schema module eegproc.data.to_csv module eegproc.data.windowing module eegproc.deep_learning module eegproc.deep_learning.cross_validation module eegproc.deep_learning.cross_validation.aggregation module eegproc.deep_learning.cross_validation.arrays module eegproc.deep_learning.cross_validation.calibration module eegproc.deep_learning.cross_validation.calibration_subject module eegproc.deep_learning.cross_validation.callbacks module eegproc.deep_learning.cross_validation.constants module eegproc.deep_learning.cross_validation.dataframe module eegproc.deep_learning.cross_validation.evaluation module eegproc.deep_learning.cross_validation.loso module eegproc.deep_learning.cross_validation.loso_fold module eegproc.deep_learning.cross_validation.metrics module eegproc.deep_learning.cross_validation.nested module eegproc.deep_learning.cross_validation.nested_fold module eegproc.deep_learning.cross_validation.probabilities module eegproc.deep_learning.cross_validation.reporting module eegproc.deep_learning.cross_validation.search module eegproc.deep_learning.cross_validation.splits module eegproc.deep_learning.cross_validation.workers module eegproc.deep_learning.domain_generalization module eegproc.deep_learning.domain_generalization.alternating_group_learning module eegproc.deep_learning.domain_generalization.meta_learning module

eegproc.deep_learning.prepare_datasets module eegproc.deep_learning.supervised module eegproc.deep_learning.supervised.rnn_architectures module eegproc.deep_learning.supervised.supervised_contrastive_loss module eegproc.deep_learning.supervised.variational_classifier module eegproc.deep_learning.training_outputs module eegproc.deep_learning.unsupervised module eegproc.deep_learning.unsupervised.BaseEncoder module eegproc.deep_learning.unsupervised.Convolutions module eegproc.deep_learning.unsupervised.Convolutions.CNN1D module eegproc.deep_learning.unsupervised.Convolutions.CNN2D module eegproc.deep_learning.unsupervised.GNN module eegproc.deep_learning.unsupervised.GNN.GCN module eegproc.deep_learning.unsupervised.GNN.GCN_band_separated module eegproc.deep_learning.unsupervised.GNN.GCNMTL module eegproc.deep_learning.unsupervised.GNN.GraphConv module eegproc.deep_learning.unsupervised.GNN.GraphConvMTL module eegproc.deep_learning.unsupervised.utils module eegproc.deep_learning.unsupervised.VariationalAutoencoderLoss module eegproc.featurization module eegproc.model_explainability module eegproc.model_explainability.model_agnostic module eegproc.model_explainability.model_agnostic.adapter module 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 eegproc.plotting module eegproc.plotting.plots module eegproc.preprocessing module emb_dim (eegproc.deep_learning.unsupervised.BaseEncoder.BaseEncoder property) EvaluationLevelValidationMetrics (class in eegproc.deep_learning.cross_validation.callbacks)

F

feature (eegproc.data.schema.FeatureColumn attribute) feature_columns (eegproc.data.schema.EEGFrame attribute) feature_grouped_by_metadata() (in module eegproc.featurization) feature_order (eegproc.model_explainability.model_agnostic.adapter.TrialDataset attribute) FeatureColumn (class in eegproc.data.schema) features (eegproc.data.windowing.WindowedArrays attribute) (eegproc.model_explainability.model_agnostic.adapter.TrialDataset attribute) fit_mldg() (in module eegproc.deep_learning.domain_generalization.meta_learning) fix_length() (eegproc.deep_learning.unsupervised.Convolutions.CNN1D.CNN1DDecoder method) (eegproc.deep_learning.unsupervised.Convolutions.CNN2D.CNN2DDecoder method) (eegproc.deep_learning.unsupervised.GNN.GCN.GCNDecoder method) (eegproc.deep_learning.unsupervised.GNN.GCN_band_separated.GCNDecoder method) (eegproc.deep_learning.unsupervised.GNN.GCNMTL.GCNMTLDecoder method)

fixed_loso_cv() (in module eegproc.deep_learning.cross_validation.loso) flatten_trial() (in module eegproc.model_explainability.model_agnostic.plotting) from_encoder() (eegproc.deep_learning.unsupervised.Convolutions.CNN1D.CNN1DDecoder class method) (eegproc.deep_learning.unsupervised.Convolutions.CNN2D.CNN2DDecoder class method) (eegproc.deep_learning.unsupervised.GNN.GCN.GCNDecoder class method) (eegproc.deep_learning.unsupervised.GNN.GCN_band_separated.GCNDecoder class method) (eegproc.deep_learning.unsupervised.GNN.GCNMTL.GCNMTLDecoder class method) fs (eegproc.data.schema.EEGFrame attribute)

G

GCNDecoder (class in eegproc.deep_learning.unsupervised.GNN.GCN) (class in eegproc.deep_learning.unsupervised.GNN.GCN_band_separated) (in module eegproc.deep_learning.unsupervised.GNN.GCNMTL) GCNEncoder (class in eegproc.deep_learning.unsupervised.GNN.GCN) (in module eegproc.deep_learning.unsupervised.GNN.GCN_band_separated) (in module eegproc.deep_learning.unsupervised.GNN.GCNMTL) GCNMTLDecoder (class in eegproc.deep_learning.unsupervised.GNN.GCNMTL) GCNMTLEncoder (class in eegproc.deep_learning.unsupervised.GNN.GCNMTL) generate_all_features() (in module eegproc.featurization) get_adjacency_matrices() (eegproc.deep_learning.unsupervised.GNN.GCN.GCNDecoder method) (eegproc.deep_learning.unsupervised.GNN.GCN.GCNEncoder method) (eegproc.deep_learning.unsupervised.GNN.GCN_band_separated.BandSeparatedGCNEncoder method) (eegproc.deep_learning.unsupervised.GNN.GCN_band_separated.GCNDecoder method) get_adjacency_matrix() (eegproc.deep_learning.unsupervised.GNN.GCNMTL.GCNMTLEncoder method) get_band_features() (eegproc.deep_learning.unsupervised.GNN.GCN_band_separated.BandSeparatedGCNEncoder method) (eegproc.deep_learning.unsupervised.GNN.GCNMTL.GCNMTLEncoder method) get_config() (eegproc.deep_learning.supervised.supervised_contrastive_loss.SupervisedContrastiveLoss method) (eegproc.deep_learning.supervised.variational_classifier.DenseClassifier method) (eegproc.deep_learning.supervised.variational_classifier.HybridClassifier method) (eegproc.deep_learning.supervised.variational_classifier.VariationalClassifier method) (eegproc.deep_learning.unsupervised.BaseEncoder.BaseEncoder method) (eegproc.deep_learning.unsupervised.Convolutions.CNN1D.CNN1DDecoder method) (eegproc.deep_learning.unsupervised.Convolutions.CNN1D.CNN1DEncoder method) (eegproc.deep_learning.unsupervised.Convolutions.CNN2D.CNN2DDecoder method) (eegproc.deep_learning.unsupervised.Convolutions.CNN2D.CNN2DEncoder method) (eegproc.deep_learning.unsupervised.GNN.GCN.GCNDecoder method) (eegproc.deep_learning.unsupervised.GNN.GCN.GCNEncoder method) (eegproc.deep_learning.unsupervised.GNN.GCN_band_separated.BandSeparatedGCNEncoder method) (eegproc.deep_learning.unsupervised.GNN.GCN_band_separated.GCNDecoder method) (eegproc.deep_learning.unsupervised.GNN.GCNMTL.GCNMTLDecoder method) (eegproc.deep_learning.unsupervised.GNN.GCNMTL.GCNMTLEncoder method) (eegproc.deep_learning.unsupervised.GNN.GraphConv.GraphConv method) (eegproc.deep_learning.unsupervised.GNN.GraphConvMTL.GraphConvMTL method) (eegproc.deep_learning.unsupervised.VariationalAutoencoderLoss.GradientReversal method) (eegproc.deep_learning.unsupervised.VariationalAutoencoderLoss.VariationalAutoencoderLoss method)

get_raw_adjacency_matrix() (eegproc.deep_learning.unsupervised.GNN.GCNMTL.GCNMTLEncoder method) GradientReversal (class in eegproc.deep_learning.unsupervised.VariationalAutoencoderLoss) GraphConv (class in eegproc.deep_learning.unsupervised.GNN.GraphConv) GraphConvMTL (class in eegproc.deep_learning.unsupervised.GNN.GraphConvMTL) GRUClassifier (class in eegproc.deep_learning.supervised.rnn_architectures)

H

HeldOutUserOracleMetrics (class in eegproc.deep_learning.cross_validation.callbacks) (class in eegproc.deep_learning.training_outputs)

hjorth_params() (in module eegproc.featurization) HybridClassifier (class in eegproc.deep_learning.supervised.variational_classifier)

I

imf_band_energy() (in module eegproc.featurization) imf_entropy() (in module eegproc.featurization)

initial_state() (eegproc.model_explainability.model_agnostic.adapter.CounterfactualAdapter method) (eegproc.model_explainability.model_agnostic.adapter.KerasInputAdapter method)

K

keras_loss() (eegproc.deep_learning.supervised.variational_classifier.VariationalClassifier method)

KerasInputAdapter (class in eegproc.model_explainability.model_agnostic.adapter) kind (eegproc.data.schema.EEGFrame attribute)

L

label_columns (eegproc.data.schema.EEGFrame attribute) labels (eegproc.data.windowing.WindowedArrays attribute) (eegproc.model_explainability.model_agnostic.adapter.TrialDataset attribute) load_amigos_joined_csv() (in module eegproc.deep_learning.prepare_datasets) load_amigos_subject() (in module eegproc.deep_learning.prepare_datasets) load_counterfactual_trial() (in module eegproc.model_explainability.model_agnostic.plotting) load_cowen_27_mapping() (in module eegproc.deep_learning.prepare_datasets)

load_deap_subject() (in module eegproc.deep_learning.prepare_datasets) load_eegemotions_joined_csv() (in module eegproc.deep_learning.prepare_datasets) load_json_mapping() (in module eegproc.model_explainability.model_agnostic.adapter) load_trial_dataset() (in module eegproc.model_explainability.model_agnostic.adapter) logits_from_state() (eegproc.model_explainability.model_agnostic.adapter.CounterfactualAdapter method) (eegproc.model_explainability.model_agnostic.adapter.KerasInputAdapter method) loso_cv() (in module eegproc.deep_learning.cross_validation.loso) LSTMClassifier (class in eegproc.deep_learning.supervised.rnn_architectures)

M

main() (in module eegproc.data.to_csv) (in module eegproc.model_explainability.model_agnostic.runner) (in module eegproc.model_explainability.model_agnostic.topography) median_split() (in module eegproc.data.schema) metadata (eegproc.model_explainability.model_agnostic.adapter.TrialDataset attribute) metadata() (eegproc.model_explainability.model_agnostic.adapter.CounterfactualAdapter method) (eegproc.model_explainability.model_agnostic.adapter.KerasInputAdapter method) MetaLearningSubjectSequence (class in eegproc.deep_learning.domain_generalization.meta_learning) MLDGEpisodeSequence (class in eegproc.deep_learning.domain_generalization.meta_learning) ModelAgnosticCounterfactualOptimizer (class in eegproc.model_explainability.model_agnostic.optimizer) module eegproc eegproc.data eegproc.data.csv_cowen eegproc.data.csv_eegemotions eegproc.data.csv_matlab eegproc.data.schema eegproc.data.to_csv eegproc.data.windowing eegproc.deep_learning eegproc.deep_learning.cross_validation eegproc.deep_learning.cross_validation.aggregation eegproc.deep_learning.cross_validation.arrays eegproc.deep_learning.cross_validation.calibration eegproc.deep_learning.cross_validation.calibration_subject eegproc.deep_learning.cross_validation.callbacks eegproc.deep_learning.cross_validation.constants eegproc.deep_learning.cross_validation.dataframe eegproc.deep_learning.cross_validation.evaluation eegproc.deep_learning.cross_validation.loso eegproc.deep_learning.cross_validation.loso_fold eegproc.deep_learning.cross_validation.metrics eegproc.deep_learning.cross_validation.nested eegproc.deep_learning.cross_validation.nested_fold eegproc.deep_learning.cross_validation.probabilities eegproc.deep_learning.cross_validation.reporting eegproc.deep_learning.cross_validation.search eegproc.deep_learning.cross_validation.splits eegproc.deep_learning.cross_validation.workers eegproc.deep_learning.domain_generalization eegproc.deep_learning.domain_generalization.alternating_group_learning eegproc.deep_learning.domain_generalization.meta_learning eegproc.deep_learning.prepare_datasets eegproc.deep_learning.supervised eegproc.deep_learning.supervised.rnn_architectures eegproc.deep_learning.supervised.supervised_contrastive_loss eegproc.deep_learning.supervised.variational_classifier eegproc.deep_learning.training_outputs eegproc.deep_learning.unsupervised eegproc.deep_learning.unsupervised.BaseEncoder eegproc.deep_learning.unsupervised.Convolutions eegproc.deep_learning.unsupervised.Convolutions.CNN1D eegproc.deep_learning.unsupervised.Convolutions.CNN2D eegproc.deep_learning.unsupervised.GNN eegproc.deep_learning.unsupervised.GNN.GCN eegproc.deep_learning.unsupervised.GNN.GCN_band_separated eegproc.deep_learning.unsupervised.GNN.GCNMTL eegproc.deep_learning.unsupervised.GNN.GraphConv eegproc.deep_learning.unsupervised.GNN.GraphConvMTL eegproc.deep_learning.unsupervised.utils eegproc.deep_learning.unsupervised.VariationalAutoencoderLoss eegproc.featurization eegproc.model_explainability eegproc.model_explainability.model_agnostic eegproc.model_explainability.model_agnostic.adapter eegproc.model_explainability.model_agnostic.optimizer eegproc.model_explainability.model_agnostic.plotting eegproc.model_explainability.model_agnostic.runner eegproc.model_explainability.model_agnostic.topography eegproc.plotting eegproc.plotting.plots eegproc.preprocessing

N

n_features (eegproc.deep_learning.unsupervised.BaseEncoder.BaseEncoder property) (eegproc.deep_learning.unsupervised.Convolutions.CNN1D.CNN1DDecoder property) (eegproc.deep_learning.unsupervised.Convolutions.CNN1D.CNN1DEncoder property) (eegproc.deep_learning.unsupervised.Convolutions.CNN2D.CNN2DDecoder property) (eegproc.deep_learning.unsupervised.Convolutions.CNN2D.CNN2DEncoder property) (eegproc.deep_learning.unsupervised.GNN.GCN.GCNDecoder property) (eegproc.deep_learning.unsupervised.GNN.GCN.GCNEncoder property) (eegproc.deep_learning.unsupervised.GNN.GCN_band_separated.BandSeparatedGCNEncoder property) (eegproc.deep_learning.unsupervised.GNN.GCN_band_separated.GCNDecoder property) (eegproc.deep_learning.unsupervised.GNN.GCNMTL.GCNMTLDecoder property) (eegproc.deep_learning.unsupervised.GNN.GCNMTL.GCNMTLEncoder property)

name (eegproc.model_explainability.model_agnostic.adapter.CounterfactualAdapter attribute) (eegproc.model_explainability.model_agnostic.adapter.KerasInputAdapter attribute) nested_lnso_cv() (in module eegproc.deep_learning.cross_validation.nested) normalization_offset (eegproc.model_explainability.model_agnostic.adapter.TrialDataset attribute) normalization_scale (eegproc.model_explainability.model_agnostic.adapter.TrialDataset attribute) normalized_adjacency() (eegproc.deep_learning.unsupervised.GNN.GraphConv.GraphConv method) (eegproc.deep_learning.unsupervised.GNN.GraphConvMTL.GraphConvMTL method) numeric_interp() (in module eegproc.preprocessing)

O

on_epoch_end() (eegproc.deep_learning.cross_validation.callbacks.EvaluationLevelValidationMetrics method) (eegproc.deep_learning.cross_validation.callbacks.HeldOutUserOracleMetrics method) (eegproc.deep_learning.cross_validation.callbacks.TrialValidationMetrics method) (eegproc.deep_learning.domain_generalization.alternating_group_learning.AlternatingSubjectSetSequence method) (eegproc.deep_learning.domain_generalization.meta_learning.MetaLearningSubjectSequence method) (eegproc.deep_learning.domain_generalization.meta_learning.MLDGEpisodeSequence method) (eegproc.deep_learning.training_outputs.CompactEpochLogger method) (eegproc.deep_learning.training_outputs.HeldOutUserOracleMetrics method) (eegproc.deep_learning.training_outputs.PredictionDiagnostics method) on_train_begin() (eegproc.deep_learning.cross_validation.callbacks.HeldOutUserOracleMetrics method) (eegproc.deep_learning.training_outputs.CompactEpochLogger method) (eegproc.deep_learning.training_outputs.HeldOutUserOracleMetrics method) (eegproc.deep_learning.training_outputs.PredictionDiagnostics method)

on_train_end() (eegproc.deep_learning.training_outputs.CompactEpochLogger method) (eegproc.deep_learning.training_outputs.HeldOutUserOracleMetrics method) (eegproc.deep_learning.training_outputs.PredictionDiagnostics method) optimization_space (eegproc.model_explainability.model_agnostic.adapter.CounterfactualAdapter attribute) (eegproc.model_explainability.model_agnostic.adapter.KerasInputAdapter attribute) optimize() (eegproc.model_explainability.model_agnostic.optimizer.ModelAgnosticCounterfactualOptimizer method) output_timesteps (eegproc.deep_learning.unsupervised.BaseEncoder.BaseEncoder property)

P

parse_args() (in module eegproc.model_explainability.model_agnostic.runner) parse_feature_column() (in module eegproc.data.schema) parse_filename() (in module eegproc.data.csv_eegemotions) plot_band_topographies() (in module eegproc.model_explainability.model_agnostic.plotting) plot_eeg_features() (in module eegproc.plotting.plots)

PredictionDiagnostics (class in eegproc.deep_learning.training_outputs) prepare_amigos() (in module eegproc.deep_learning.prepare_datasets) prepare_deap() (in module eegproc.deep_learning.prepare_datasets) prepare_dreamer() (in module eegproc.deep_learning.prepare_datasets) prepare_eegemotions() (in module eegproc.deep_learning.prepare_datasets) psd_bandpowers() (in module eegproc.featurization)

R

raw_adjacency() (eegproc.deep_learning.unsupervised.GNN.GraphConvMTL.GraphConvMTL method) reconstruct() (eegproc.model_explainability.model_agnostic.adapter.CounterfactualAdapter method) (eegproc.model_explainability.model_agnostic.adapter.KerasInputAdapter method) recurrent_layer() (eegproc.deep_learning.supervised.rnn_architectures.BiGRUClassifier method) (eegproc.deep_learning.supervised.rnn_architectures.BiLSTMClassifier method) (eegproc.deep_learning.supervised.rnn_architectures.GRUClassifier method) (eegproc.deep_learning.supervised.rnn_architectures.LSTMClassifier method) (eegproc.deep_learning.supervised.rnn_architectures.RNNClassifier method)

recurrent_stack() (eegproc.deep_learning.supervised.rnn_architectures.RNNClassifier method) resolve_channel_names() (in module eegproc.model_explainability.model_agnostic.plotting) resolve_loss() (eegproc.deep_learning.supervised.rnn_architectures.RNNClassifier static method) restore_source_units() (in module eegproc.model_explainability.model_agnostic.topography) RNNClassifier (class in eegproc.deep_learning.supervised.rnn_architectures) run() (in module eegproc.model_explainability.model_agnostic.runner) run_mldg_train_step() (in module eegproc.deep_learning.domain_generalization.meta_learning)

S

shannons_entropy() (in module eegproc.featurization) signal_unit (eegproc.model_explainability.model_agnostic.adapter.TrialDataset attribute) sosfiltfilt_safe() (in module eegproc.preprocessing) split_channel_bands() (in module eegproc.model_explainability.model_agnostic.plotting) subject_calibration_cv() (in module eegproc.deep_learning.cross_validation.calibration) subject_columns (eegproc.data.schema.EEGFrame attribute) subject_ids (eegproc.data.windowing.WindowedArrays attribute) (eegproc.model_explainability.model_agnostic.adapter.TrialDataset attribute)

subject_lookup (eegproc.data.windowing.WindowedArrays attribute) summarize_activity() (in module eegproc.model_explainability.model_agnostic.plotting) SupervisedContrastiveLoss (class in eegproc.deep_learning.supervised.supervised_contrastive_loss) supports_discriminator (eegproc.deep_learning.supervised.variational_classifier.DenseClassifier attribute) (eegproc.deep_learning.supervised.variational_classifier.HybridClassifier attribute) (eegproc.deep_learning.supervised.variational_classifier.VariationalClassifier attribute) supports_variational_regularization (eegproc.deep_learning.supervised.variational_classifier.DenseClassifier attribute) (eegproc.deep_learning.supervised.variational_classifier.HybridClassifier attribute) (eegproc.deep_learning.supervised.variational_classifier.VariationalClassifier attribute)

T

temporal_embedding() (eegproc.deep_learning.supervised.rnn_architectures.RNNClassifier method) time_column (eegproc.data.schema.EEGFrame attribute) to_supervised_arrays() (in module eegproc.data.windowing) trial_columns (eegproc.data.schema.EEGFrame attribute)

trial_ids (eegproc.data.windowing.WindowedArrays attribute) (eegproc.model_explainability.model_agnostic.adapter.TrialDataset attribute) trial_lookup (eegproc.data.windowing.WindowedArrays attribute) TrialDataset (class in eegproc.model_explainability.model_agnostic.adapter) TrialValidationMetrics (class in eegproc.deep_learning.cross_validation.callbacks)

U

uses_variational_head() (eegproc.deep_learning.supervised.rnn_architectures.RNNClassifier method)

V

validate_trial_dataset() (in module eegproc.model_explainability.model_agnostic.adapter) VariationalAutoencoderLoss (class in eegproc.deep_learning.unsupervised.VariationalAutoencoderLoss) VariationalClassifier (class in eegproc.deep_learning.supervised.variational_classifier) vc_loss() (eegproc.deep_learning.supervised.variational_classifier.DenseClassifier method) (eegproc.deep_learning.supervised.variational_classifier.VariationalClassifier method)

vc_loss_components() (eegproc.deep_learning.supervised.variational_classifier.DenseClassifier method) (eegproc.deep_learning.supervised.variational_classifier.VariationalClassifier method) verify_npy() (in module eegproc.deep_learning.prepare_datasets)

W

wavelet_band_energy() (in module eegproc.featurization)

wavelet_entropy() (in module eegproc.featurization) WindowedArrays (class in eegproc.data.windowing)