Index

_

_load_sub() (meegnet.dataloaders.ContinuousDataset method)

A

apply_colormap_on_image() (in module meegnet.viz)

AutoEncoder (class in meegnet.network) avg_range() (in module meegnet.viz)

B

best_window() (in module meegnet.viz)

C

check_PD() (in module meegnet.utils) choose_best_window() (in module meegnet.viz) classif (meegnet.network.EEGNet attribute) classif() (meegnet.network.CustomNet method) colorFader() (in module meegnet.viz) compute_accuracy() (meegnet.network.Model method) compute_cams() (in module meegnet.viz) compute_psd() (in module meegnet.utils)

compute_saliency_based_psd() (in module meegnet.viz) compute_saliency_maps() (in module meegnet.viz) compute_single_sal_psd() (in module meegnet.viz) ContinuousDataset (class in meegnet.dataloaders) Conv2dWithConstraint (class in meegnet.layer) convert_to_grayscale() (in module meegnet.viz) create_net() (in module meegnet.network) cuda_check() (in module meegnet.utils) CustomNet (class in meegnet.network)

D

data (meegnet.dataloaders.ContinuousDataset attribute) (meegnet.dataloaders.EpochedDataset attribute) data_path (meegnet.dataloaders.EpochedDataset attribute) Dataset (in module meegnet.dataloaders)

DeMixing (class in meegnet.layer) depthwise (meegnet.layer.DepthwiseConv2d attribute) (meegnet.layer.SeparableConv2d attribute) DepthwiseConv2d (class in meegnet.layer) display_progress() (meegnet.network.Model method)

E

EEGNet (class in meegnet.network) EEGNetv4 (class in meegnet.network) elapsed_time() (in module meegnet.utils)

EpochedDataset (class in meegnet.dataloaders) evaluate() (meegnet.network.Model method) extract_bands() (in module meegnet.utils)

F

feature_extraction (meegnet.network.EEGNet attribute) feature_extraction() (meegnet.network.CustomNet method) fit() (meegnet.network.Model method) Flatten (class in meegnet.layer) format_np_output() (in module meegnet.viz) forward() (meegnet.layer.Conv2dWithConstraint method) (meegnet.layer.DeMixing method) (meegnet.layer.DepthwiseConv2d method), [1] (meegnet.layer.Flatten method), [1] (meegnet.layer.SeparableConv2d method), [1] (meegnet.network.AutoEncoder method) (meegnet.network.CustomNet method), [1]

from_pretrained() (meegnet.network.Model method) FullNet (class in meegnet.network)

G

generate_saliency_figure() (in module meegnet.viz) get_clf_weights() (meegnet.network.Model method) get_example_params() (in module meegnet.viz) get_feature_weights() (meegnet.network.Model method)

get_lin_size() (meegnet.network.CustomNet method) get_output_shape() (meegnet.network.CustomNet method), [1] get_positive_negative_saliency() (in module meegnet.viz) groups (meegnet.dataloaders.ContinuousDataset attribute) (meegnet.dataloaders.EpochedDataset attribute)

I

InfiniteDataLoader (class in meegnet.dataloaders)

input_size (meegnet.network.CustomNet attribute)

L

LfCNN (class in meegnet.network) load() (meegnet.dataloaders.EpochedDataset method) (meegnet.network.Model method) (meegnet.network.TrainingTracker method)

load_from_path() (meegnet.dataloaders.EpochedDataset method) load_psd_cc_subjects() (in module meegnet.utils)

M

make_gif() (in module meegnet.viz) MEEGNet (class in meegnet.network) meegnet.dataloaders module meegnet.layer module meegnet.network module meegnet.utils module

meegnet.viz module MLP (class in meegnet.network) Model (class in meegnet.network) module meegnet.dataloaders meegnet.layer meegnet.network meegnet.utils meegnet.viz

N

n_outputs (meegnet.network.CustomNet attribute) n_parameters() (meegnet.network.Model method) n_samples (meegnet.dataloaders.ContinuousDataset attribute) (meegnet.dataloaders.EpochedDataset attribute)

n_subjects (meegnet.dataloaders.ContinuousDataset attribute) (meegnet.dataloaders.EpochedDataset attribute) nice_time() (in module meegnet.utils) None (meegnet.layer.Flatten attribute)

O

offset (meegnet.dataloaders.ContinuousDataset attribute)

overlap (meegnet.dataloaders.ContinuousDataset attribute)

P

plot_accuracy() (meegnet.network.Model method) (meegnet.network.TrainingTracker method) plot_cam() (in module meegnet.viz) plot_epoch() (in module meegnet.viz) plot_loss() (meegnet.network.Model method) (meegnet.network.TrainingTracker method)

plot_masked_epoch() (in module meegnet.viz) plot_metric() (meegnet.network.TrainingTracker method) pointwise (meegnet.layer.SeparableConv2d attribute) preload() (meegnet.dataloaders.EpochedDataset method) preprocess_image() (in module meegnet.viz)

R

rec_avg_range() (in module meegnet.viz)

recreate_image() (in module meegnet.viz) RestDataset (in module meegnet.dataloaders)

S

save() (meegnet.network.Model method) (meegnet.network.TrainingTracker method) save_class_activation_images() (in module meegnet.viz) save_gradient_images() (in module meegnet.viz) save_image() (in module meegnet.viz) SeparableConv2d (class in meegnet.layer) set_data() (meegnet.dataloaders.EpochedDataset method) set_model_path() (meegnet.network.TrainingTracker method)

sfreq (meegnet.dataloaders.ContinuousDataset attribute) (meegnet.dataloaders.EpochedDataset attribute) split_data() (meegnet.dataloaders.EpochedDataset method) stratified_sampling() (in module meegnet.utils) string_to_int() (in module meegnet.utils) strip_string() (in module meegnet.utils) subject_list (meegnet.dataloaders.ContinuousDataset attribute) (meegnet.dataloaders.EpochedDataset attribute)

T

targets (meegnet.dataloaders.ContinuousDataset attribute) (meegnet.dataloaders.EpochedDataset attribute) test() (meegnet.network.Model method) torchDataset() (meegnet.dataloaders.EpochedDataset method)

train() (meegnet.network.Model method) train_batch() (meegnet.network.Model method) train_epoch() (meegnet.network.Model method) TrainingTracker (class in meegnet.network)

U

update() (meegnet.network.TrainingTracker method)

V

VanPutNet (class in meegnet.network)

VarCNN (class in meegnet.network) VGG16 (class in meegnet.network)

W

window (meegnet.dataloaders.ContinuousDataset attribute)