Index

_

__add__() (Dataset method) __call__() (ConsistencyMetric method), [1] (DemographicParityMetric method), [1] (DistanceMetric method), [1] (DownstreamPerformanceMetric method), [1] (EntropyMetric method), [1] (PrivacyMembershipInferenceMetric method), [1] __setitem__() (LossTracker method) _check_discriminator_loss() (TimeGAN method) _compute_generator_moments_loss() (TimeGAN static method) _exponential_quadratic() (in module tsgm.utils) (in module tsgm.utils.datasets)

_generate_noise() (TimeGAN method) _get_data_batch() (TimeGAN method) _get_physionet_X_dataframe() (in module tsgm.utils) (in module tsgm.utils.datasets) _get_physionet_y_dataframe() (in module tsgm.utils) (in module tsgm.utils.datasets) _rnn_cell() (BasicRecurrentArchitecture method), [1] _train_autoencoder() (TimeGAN method) _train_discriminator() (TimeGAN method) _train_embedder() (TimeGAN method) _train_generator() (TimeGAN method) _train_supervisor() (TimeGAN method)

A

ABCAlgorithm (class in tsgm.optimization.abc), [1] arch_type (Architecture property) (BaseClassificationArchitecture attribute) (BasicRecurrentArchitecture attribute) (BlockClfArchitecture attribute) (cGAN_Conv4Architecture attribute) (cGAN_LSTMConv3Architecture attribute) (cGAN_LSTMnArchitecture attribute) (cVAE_CONV5Architecture attribute) (tcGAN_Conv4Architecture attribute) (VAE_CONV5Architecture attribute)

Architecture (class in tsgm.models.architectures) (class in tsgm.models.architectures.zoo), [1]

B

BaseAugmenter (class in tsgm.models.augmentations) BaseClassificationArchitecture (class in tsgm.models.architectures) (class in tsgm.models.architectures.zoo), [1] BaseCompose (class in tsgm.models.augmentations) BaseDownstreamEvaluator (class in tsgm.metrics) (class in tsgm.metrics.metrics), [1] BaseGANArchitecture (class in tsgm.models.architectures) (class in tsgm.models.architectures.zoo), [1]

BaseSimulator (class in tsgm.simulator) BaseVAEArchitecture (class in tsgm.models.architectures) (class in tsgm.models.architectures.zoo), [1] BasicRecurrentArchitecture (class in tsgm.models.architectures) (class in tsgm.models.architectures.zoo), [1] BetaVAE (class in tsgm.models.cvae), [1] BlockClfArchitecture (class in tsgm.models.architectures) (class in tsgm.models.architectures.zoo), [1] build() (BasicRecurrentArchitecture method), [1], [2]

C

call() (BetaVAE method), [1] (cBetaVAE method) (Sampling method), [1], [2] cBetaVAE (class in tsgm.models.cvae) cGAN_Conv4Architecture (class in tsgm.models.architectures) (class in tsgm.models.architectures.zoo), [1] cGAN_LSTMConv3Architecture (class in tsgm.models.architectures) (class in tsgm.models.architectures.zoo), [1] cGAN_LSTMnArchitecture (class in tsgm.models.architectures) (class in tsgm.models.architectures.zoo), [1] clone() (GAN method), [1]

compile() (ConditionalGAN method), [1] (GAN method), [1] (TimeGAN method) ConditionalGAN (class in tsgm.models.cgan), [1] ConsistencyMetric (class in tsgm.metrics) (class in tsgm.metrics.metrics), [1] ConvnArchitecture (class in tsgm.models.architectures) (class in tsgm.models.architectures.zoo), [1] ConvnLSTMnArchitecture (class in tsgm.models.architectures) (class in tsgm.models.architectures.zoo), [1] cVAE_CONV5Architecture (class in tsgm.models.architectures) (class in tsgm.models.architectures.zoo), [1]

D

Dataset (class in tsgm.dataset) DatasetProperties (class in tsgm.dataset) decoder (BaseVAEArchitecture property), [1], [2] default_path (UCRDataManager attribute), [1] DemographicParityMetric (class in tsgm.metrics) (class in tsgm.metrics.metrics), [1] discrepancy() (DistanceMetric method), [1], [2] DiscriminativeMetric (class in tsgm.metrics) (class in tsgm.metrics.metrics), [1]

discriminator (BaseGANArchitecture property), [1], [2] DistanceMetric (class in tsgm.metrics) (class in tsgm.metrics.metrics), [1] download_physionet2012() (in module tsgm.utils) (in module tsgm.utils.datasets), [1] DownstreamPerformanceMetric (class in tsgm.metrics) (class in tsgm.metrics.metrics), [1] DTWBarycentricAveraging (class in tsgm.models.augmentations), [1]

E

elbo_loss() (STS method), [1] encoder (BaseVAEArchitecture property), [1], [2]

EntropyMetric (class in tsgm.metrics) (class in tsgm.metrics.metrics), [1] evaluate() (BaseDownstreamEvaluator method)

F

feat_dim (Dataset property) fit() (TimeGAN method) (TSFeatureWiseScaler method), [1], [2] (TSGlobalScaler method), [1], [2]

fit_transform() (TSFeatureWiseScaler method), [1], [2] (TSGlobalScaler method), [1], [2] fix_seeds() (in module tsgm.utils) (in module tsgm.utils.utils)

G

GAN (class in tsgm.models.cgan), [1] GANMonitor (class in tsgm.models.monitors), [1] GaussianNoise (class in tsgm.models.augmentations), [1] gen_sine_const_switch_dataset() (in module tsgm.utils) (in module tsgm.utils.datasets), [1] gen_sine_dataset() (in module tsgm.utils) (in module tsgm.utils.datasets), [1] gen_sine_vs_const_dataset() (in module tsgm.utils) (in module tsgm.utils.datasets), [1] generate() (BaseAugmenter method) (BetaVAE method), [1] (cBetaVAE method) (ConditionalGAN method), [1] (DTWBarycentricAveraging method), [1] (GAN method), [1] (GaussianNoise method), [1] (MagnitudeWarping method), [1] (Shuffle method), [1] (SliceAndShuffle method), [1] (STS method), [1] (TimeGAN method) (WindowWarping method), [1] generator (BaseGANArchitecture property), [1], [2]

get() (BaseClassificationArchitecture method), [1], [2] (BaseGANArchitecture method), [1], [2] (BaseVAEArchitecture method), [1], [2] (UCRDataManager method), [1], [2], [3] get_classes_distribution() (UCRDataManager method), [1], [2], [3] get_covid_19() (in module tsgm.utils) (in module tsgm.utils.datasets), [1] get_eeg() (in module tsgm.utils) (in module tsgm.utils.datasets), [1] get_energy_data() (in module tsgm.utils) (in module tsgm.utils.datasets), [1] get_gp_samples_data() (in module tsgm.utils) (in module tsgm.utils.datasets), [1] get_mauna_loa() (in module tsgm.utils) (in module tsgm.utils.datasets), [1] get_mnist_data() (in module tsgm.utils) (in module tsgm.utils.datasets), [1] get_noise_batch() (TimeGAN method) get_physionet2012() (in module tsgm.utils) (in module tsgm.utils.datasets), [1] get_power_consumption() (in module tsgm.utils) (in module tsgm.utils.datasets), [1] get_stock_data() (in module tsgm.utils) (in module tsgm.utils.datasets), [1]

I

inverse_transform() (TSFeatureWiseScaler method), [1], [2] (TSGlobalScaler method), [1], [2]

K

kernel_median_heuristic() (in module tsgm.utils) (in module tsgm.utils.mmd)

key (UCRDataManager attribute), [1]

L

labels() (LossTracker method) load_arff() (in module tsgm.utils) (in module tsgm.utils.datasets), [1]

LossTracker (class in tsgm.models.timeGAN)

M

MagnitudeWarping (class in tsgm.models.augmentations), [1] Metric (class in tsgm.metrics.metrics), [1] metrics (BetaVAE property), [1] (cBetaVAE property) (ConditionalGAN property), [1] (GAN property), [1] mirrors (UCRDataManager attribute), [1] mmd_3_test() (in module tsgm.utils) (in module tsgm.utils.mmd) mmd_diff_var() (in module tsgm.utils) (in module tsgm.utils.mmd) MMDMetric (class in tsgm.metrics) (class in tsgm.metrics.metrics), [1] model (BaseClassificationArchitecture property), [1], [2] ModelBasedSimulator (class in tsgm.simulator) module tsgm tsgm.dataset tsgm.metrics tsgm.metrics.metrics, [1] tsgm.metrics.statistics tsgm.models tsgm.models.architectures tsgm.models.architectures.zoo, [1] tsgm.models.augmentations, [1] tsgm.models.cgan, [1] tsgm.models.cvae, [1] tsgm.models.gp tsgm.models.monitors, [1] tsgm.models.sts, [1] tsgm.models.timeGAN tsgm.optimization tsgm.optimization.abc, [1] tsgm.simulator tsgm.types tsgm.utils tsgm.utils.covid19_data_utils tsgm.utils.data_processing, [1] tsgm.utils.datasets, [1] tsgm.utils.file_utils tsgm.utils.mmd tsgm.utils.utils tsgm.utils.visualization, [1] tsgm.version

N

NNSimulator (class in tsgm.simulator)

O

on_epoch_end() (GANMonitor method), [1] (VAEMonitor method), [1]

output_dim (Dataset property)

P

prior_samples() (in module tsgm.optimization.abc), [1]

PrivacyMembershipInferenceMetric (class in tsgm.metrics) (class in tsgm.metrics.metrics), [1]

R

reconstruction_loss_by_axis() (in module tsgm.utils) (in module tsgm.utils.utils)

RejectionSampler (class in tsgm.optimization.abc), [1] resources (UCRDataManager attribute), [1]

S

sample_parameters() (ABCAlgorithm method) (RejectionSampler method), [1] Sampling (class in tsgm.models.architectures) (class in tsgm.models.architectures.zoo), [1] seq_len (Dataset property) shape (Dataset property) Shuffle (class in tsgm.models.augmentations), [1] Simulator (class in tsgm.simulator)

SineConstSimulator (class in tsgm.simulator) SliceAndShuffle (class in tsgm.models.augmentations), [1] split_dataset_into_objects() (in module tsgm.utils) (in module tsgm.utils.datasets), [1] stats() (DistanceMetric method), [1], [2] STS (class in tsgm.models.sts), [1] summary() (UCRDataManager method), [1], [2], [3] (Zoo method), [1], [2]

T

tcGAN_Conv4Architecture (class in tsgm.models.architectures) (class in tsgm.models.architectures.zoo), [1] TimeGAN (class in tsgm.models.timeGAN) to_numpy() (LossTracker method) train() (STS method), [1] train_step() (BetaVAE method), [1] (cBetaVAE method) (ConditionalGAN method), [1] (GAN method), [1] transform() (TSFeatureWiseScaler method), [1], [2] (TSGlobalScaler method), [1], [2] TSFeatureWiseScaler (class in tsgm.utils) (class in tsgm.utils.data_processing), [1] TSGlobalScaler (class in tsgm.utils) (class in tsgm.utils.data_processing), [1] tsgm module tsgm.dataset module tsgm.metrics module tsgm.metrics.metrics module, [1] tsgm.metrics.statistics module tsgm.models module tsgm.models.architectures module tsgm.models.architectures.zoo module, [1] tsgm.models.augmentations module, [1] tsgm.models.cgan module, [1]

tsgm.models.cvae module, [1] tsgm.models.gp module tsgm.models.monitors module, [1] tsgm.models.sts module, [1] tsgm.models.timeGAN module tsgm.optimization module tsgm.optimization.abc module, [1] tsgm.simulator module tsgm.types module tsgm.utils module tsgm.utils.covid19_data_utils module tsgm.utils.data_processing module, [1] tsgm.utils.datasets module, [1] tsgm.utils.file_utils module tsgm.utils.mmd module tsgm.utils.utils module tsgm.utils.visualization module, [1] tsgm.version module

U

UCRDataManager (class in tsgm.utils), [1] (class in tsgm.utils.datasets), [1]

V

VAE_CONV5Architecture (class in tsgm.models.architectures) (class in tsgm.models.architectures.zoo), [1] VAEMonitor (class in tsgm.models.monitors), [1] visualize_dataset() (in module tsgm.utils) (in module tsgm.utils.visualization), [1] visualize_original_and_reconst_ts() (in module tsgm.utils) (in module tsgm.utils.visualization), [1] visualize_training_loss() (in module tsgm.utils) (in module tsgm.utils.visualization), [1]

visualize_ts() (in module tsgm.utils) (in module tsgm.utils.visualization), [1] visualize_ts_lineplot() (in module tsgm.utils) (in module tsgm.utils.visualization), [1] visualize_tsne() (in module tsgm.utils) (in module tsgm.utils.visualization), [1] visualize_tsne_unlabeled() (in module tsgm.utils) (in module tsgm.utils.visualization), [1]

W

WindowWarping (class in tsgm.models.augmentations), [1]

X

X (Dataset property)

Xy (Dataset property) Xy_concat (Dataset property)

Y

y (Dataset property)

y_all (UCRDataManager attribute)

Z

Zoo (class in tsgm.models.architectures) (class in tsgm.models.architectures.zoo), [1]