v1.0.4
Notes:
Installation
Introduction by Example
Implementing GNNs with PyG
Managing Experiments with PyTorch Lightning
Package Reference:
torcheeg.datasets
torcheeg.io
torcheeg.model_selection
torcheeg.models
torcheeg.transforms
torcheeg.utils
torcheeg
»
Index
Edit on GitHub
Index
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A
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B
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C
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D
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E
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F
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K
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L
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M
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P
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R
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S
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T
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W
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__call__() (torcheeg.transforms.BandDifferentialEntropy method)
(torcheeg.transforms.BandKurtosis method)
(torcheeg.transforms.BandMeanAbsoluteDeviation method)
(torcheeg.transforms.BandPowerSpectralDensity method)
(torcheeg.transforms.BandSkewness method)
(torcheeg.transforms.BaselineRemoval method)
(torcheeg.transforms.BinariesToCategory method)
(torcheeg.transforms.Binary method)
(torcheeg.transforms.Compose method)
(torcheeg.transforms.Concatenate method)
(torcheeg.transforms.Lambda method)
(torcheeg.transforms.MeanStdNormalize method)
(torcheeg.transforms.MinMaxNormalize method)
(torcheeg.transforms.PickElectrode method)
(torcheeg.transforms.RandomMask method)
(torcheeg.transforms.RandomNoise method)
(torcheeg.transforms.Resize method)
(torcheeg.transforms.Select method)
(torcheeg.transforms.To2d method)
(torcheeg.transforms.ToG method)
(torcheeg.transforms.ToGrid method)
(torcheeg.transforms.ToInterpolatedGrid method)
(torcheeg.transforms.ToTensor method)
A
adjacency_matrix (torcheeg.datasets.AMIGOSDataset attribute)
(torcheeg.datasets.DREAMERDataset attribute)
(torcheeg.datasets.MAHNOBDataset attribute)
(torcheeg.datasets.SEEDDataset attribute)
AMIGOSDataset (class in torcheeg.datasets)
B
BandDifferentialEntropy (class in torcheeg.transforms)
BandKurtosis (class in torcheeg.transforms)
BandMeanAbsoluteDeviation (class in torcheeg.transforms)
BandPowerSpectralDensity (class in torcheeg.transforms)
BandSkewness (class in torcheeg.transforms)
BaselineRemoval (class in torcheeg.transforms)
BinariesToCategory (class in torcheeg.transforms)
Binary (class in torcheeg.transforms)
C
CCNN (class in torcheeg.models)
channel_location_dict (torcheeg.datasets.AMIGOSDataset attribute)
(torcheeg.datasets.DREAMERDataset attribute)
(torcheeg.datasets.MAHNOBDataset attribute)
(torcheeg.datasets.SEEDDataset attribute)
Compose (class in torcheeg.transforms)
Concatenate (class in torcheeg.transforms)
D
DEAPDataset (class in torcheeg.datasets)
DGCNN (class in torcheeg.models)
DREAMERDataset (class in torcheeg.datasets)
E
EEGNet (class in torcheeg.models)
EEGSignalIO (class in torcheeg.io)
F
FBCCNN (class in torcheeg.models)
fold_ids (torcheeg.model_selection.KFoldDataset property)
(torcheeg.model_selection.KFoldTrial property)
(torcheeg.model_selection.KFoldTrialPerSubject property)
forward() (torcheeg.models.CCNN method)
(torcheeg.models.DGCNN method)
(torcheeg.models.EEGNet method)
(torcheeg.models.FBCCNN method)
(torcheeg.models.MTCNN method)
(torcheeg.models.RGNN method)
(torcheeg.models.SimpleViT method)
(torcheeg.models.STNet method)
(torcheeg.models.TSCeption method)
K
KFoldDataset (class in torcheeg.model_selection)
KFoldTrial (class in torcheeg.model_selection)
KFoldTrialPerSubject (class in torcheeg.model_selection)
L
Lambda (class in torcheeg.transforms)
LeaveOneSubjectOut (class in torcheeg.model_selection)
M
MAHNOBDataset (class in torcheeg.datasets)
MeanStdNormalize (class in torcheeg.transforms)
MetaInfoIO (class in torcheeg.io)
MinMaxNormalize (class in torcheeg.transforms)
MTCNN (class in torcheeg.models)
P
PickElectrode (class in torcheeg.transforms)
plot_2d_tensor() (in module torcheeg.utils)
plot_3d_tensor() (in module torcheeg.utils)
plot_feature_topomap() (in module torcheeg.utils)
plot_raw_topomap() (in module torcheeg.utils)
plot_signal() (in module torcheeg.utils)
R
RandomMask (class in torcheeg.transforms)
RandomNoise (class in torcheeg.transforms)
read_all() (torcheeg.io.MetaInfoIO method)
read_eeg() (torcheeg.io.EEGSignalIO method)
read_info() (torcheeg.io.MetaInfoIO method)
Resize (class in torcheeg.transforms)
RGNN (class in torcheeg.models)
S
SEEDDataset (class in torcheeg.datasets)
Select (class in torcheeg.transforms)
SimpleViT (class in torcheeg.models)
split() (torcheeg.model_selection.KFoldDataset method)
(torcheeg.model_selection.KFoldTrial method)
(torcheeg.model_selection.KFoldTrialPerSubject method)
(torcheeg.model_selection.LeaveOneSubjectOut method)
split_info_constructor() (torcheeg.model_selection.KFoldDataset method)
(torcheeg.model_selection.KFoldTrial method)
(torcheeg.model_selection.KFoldTrialPerSubject method)
(torcheeg.model_selection.LeaveOneSubjectOut method)
STNet (class in torcheeg.models)
subjects (torcheeg.model_selection.KFoldTrialPerSubject property)
(torcheeg.model_selection.LeaveOneSubjectOut property)
T
To2d (class in torcheeg.transforms)
ToG (class in torcheeg.transforms)
ToGrid (class in torcheeg.transforms)
ToInterpolatedGrid (class in torcheeg.transforms)
ToTensor (class in torcheeg.transforms)
train_test_split_dataset() (in module torcheeg.model_selection)
train_test_split_trial() (in module torcheeg.model_selection)
train_test_split_trial_per_subject() (in module torcheeg.model_selection)
training (torcheeg.models.DGCNN attribute)
(torcheeg.models.RGNN attribute)
(torcheeg.models.SimpleViT attribute)
TSCeption (class in torcheeg.models)
W
write_eeg() (torcheeg.io.EEGSignalIO method)
write_info() (torcheeg.io.MetaInfoIO method)
write_pointer (torcheeg.io.EEGSignalIO property)
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