Index

A

AlignedPair (class in chronocratic.models.augmentation.base) Augmentation (class in chronocratic.models.augmentation.base) AugmentationProducer (class in chronocratic.models.augmentation.base)

AugmentationTrainingStrategy (class in chronocratic.models.augmentation.base) AutoTCL (class in chronocratic.models.convolutional.dilated.autotcl.model) AutoTCLModelParameters (class in chronocratic.models.convolutional.dilated.autotcl.config)

B

backbone (chronocratic.models.supervised.supervised.SupervisedModule property) BandedFourierLayer (class in chronocratic.models.layers.general) BaseEncodingMixin (class in chronocratic.models.convolutional.dilated._mixin.encoding)

BaseVariationalAutoencoder (class in chronocratic.models.generative.timevae.vae_base) BasicEncodingMixin (class in chronocratic.models._mixin.encoding) BatchAdapter (class in chronocratic.models.supervised.supervised)

C

chronocratic.models._mixin.encoding module chronocratic.models.augmentation.base module chronocratic.models.augmentation.decorators module chronocratic.models.augmentation.primitives module chronocratic.models.augmentation.producers module chronocratic.models.augmentation.trainable_support module chronocratic.models.convolutional.dilated._mixin.encoding module chronocratic.models.convolutional.dilated.autotcl.config module chronocratic.models.convolutional.dilated.autotcl.model module chronocratic.models.convolutional.dilated.cost.config module chronocratic.models.convolutional.dilated.cost.model module chronocratic.models.convolutional.dilated.ts2vec.config module chronocratic.models.convolutional.dilated.ts2vec.model module chronocratic.models.convolutional.standard.mcl.config module chronocratic.models.convolutional.standard.mcl.model module chronocratic.models.convolutional.standard.series2vec.config module chronocratic.models.convolutional.standard.series2vec.model module chronocratic.models.convolutional.standard.tstcc.config module chronocratic.models.convolutional.standard.tstcc.model module chronocratic.models.distances.soft_dtw.soft_dtw_cuda module

chronocratic.models.generative.timevae.config module chronocratic.models.generative.timevae.model module chronocratic.models.generative.timevae.vae_base module chronocratic.models.layers.general module chronocratic.models.protocols module chronocratic.models.recurrent.timenet.config module chronocratic.models.recurrent.timenet.model module chronocratic.models.supervised.factory module chronocratic.models.supervised.supervised module chronocratic.models.transformer.tst.config module chronocratic.models.transformer.tst.model module ComposeAugmentation (class in chronocratic.models.augmentation.primitives) compute_loss() (chronocratic.models.augmentation.base.AugmentationTrainingStrategy method) compute_output_shape() (chronocratic.models.layers.general.SeasonalLayer method) compute_softdtw_cuda() (in module chronocratic.models.distances.soft_dtw.soft_dtw_cuda) configure_gradient_clipping() (chronocratic.models.transformer.tst.model.TST method) configure_optimizer() (chronocratic.models.augmentation.base.TrainableAugmentationProducer method) configure_optimizers() (chronocratic.models.convolutional.dilated.autotcl.model.AutoTCL method) (chronocratic.models.convolutional.dilated.cost.model.CoST method) (chronocratic.models.convolutional.dilated.ts2vec.model.TS2Vec method) (chronocratic.models.convolutional.standard.mcl.model.FCN method) (chronocratic.models.convolutional.standard.series2vec.model.Series2Vec method) (chronocratic.models.convolutional.standard.tstcc.model.TSTCC method) (chronocratic.models.generative.timevae.vae_base.BaseVariationalAutoencoder method) (chronocratic.models.recurrent.timenet.model.TimeNet method) (chronocratic.models.supervised.supervised.SupervisedModule method) (chronocratic.models.transformer.tst.model.TST method) CoST (class in chronocratic.models.convolutional.dilated.cost.model) CoSTModelParameters (class in chronocratic.models.convolutional.dilated.cost.config)

D

decoder (chronocratic.models.generative.timevae.model.TimeVAE property) (chronocratic.models.generative.timevae.vae_base.BaseVariationalAutoencoder property) (chronocratic.models.protocols.HasDecoder property) (chronocratic.models.recurrent.timenet.model.TimeNet property)

DecompositionEncodingMixin (class in chronocratic.models.convolutional.dilated._mixin.encoding)

E

encode() (chronocratic.models._mixin.encoding.BasicEncodingMixin method) (chronocratic.models.convolutional.dilated._mixin.encoding.BaseEncodingMixin method) encoder (chronocratic.models.convolutional.dilated.autotcl.model.AutoTCL property) (chronocratic.models.convolutional.dilated.cost.model.CoST property) (chronocratic.models.convolutional.dilated.ts2vec.model.TS2Vec property) (chronocratic.models.convolutional.standard.mcl.model.FCN property) (chronocratic.models.convolutional.standard.series2vec.model.Series2Vec property) (chronocratic.models.convolutional.standard.tstcc.model.TSTCC property) (chronocratic.models.generative.timevae.model.TimeVAE property) (chronocratic.models.generative.timevae.vae_base.BaseVariationalAutoencoder property) (chronocratic.models.protocols.HasEncoder property) (chronocratic.models.recurrent.timenet.model.TimeNet property) (chronocratic.models.transformer.tst.model.TST property)

F

FCN (class in chronocratic.models.convolutional.standard.mcl.model) FlattenLinearHead (class in chronocratic.models.supervised.supervised) forward() (chronocratic.models.convolutional.standard.mcl.model.FCN method) (chronocratic.models.convolutional.standard.series2vec.model.Series2Vec method) (chronocratic.models.convolutional.standard.tstcc.model.TSTCC method) (chronocratic.models.distances.soft_dtw.soft_dtw_cuda.SoftDTW method) (chronocratic.models.generative.timevae.model.TimeVAEDecoder method) (chronocratic.models.generative.timevae.model.TimeVAEEncoder method) (chronocratic.models.generative.timevae.vae_base.BaseVariationalAutoencoder method) (chronocratic.models.generative.timevae.vae_base.Sampling method) (chronocratic.models.layers.general.BandedFourierLayer method) (chronocratic.models.layers.general.LevelModel method) (chronocratic.models.layers.general.ResidualConnection method) (chronocratic.models.layers.general.SeasonalLayer method) (chronocratic.models.layers.general.TrendLayer method) (chronocratic.models.recurrent.timenet.model.TimeNet method) (chronocratic.models.supervised.supervised.FlattenLinearHead method) (chronocratic.models.supervised.supervised.SupervisedModule method) (chronocratic.models.transformer.tst.model.TST method)

FullOverlapPair (class in chronocratic.models.augmentation.producers)

G

get_num_trainable_variables() (chronocratic.models.generative.timevae.vae_base.BaseVariationalAutoencoder method) get_prior_samples() (chronocratic.models.generative.timevae.vae_base.BaseVariationalAutoencoder method)

get_prior_samples_given_z() (chronocratic.models.generative.timevae.vae_base.BaseVariationalAutoencoder method) get_representations() (chronocratic.models.transformer.tst.model.TST method)

H

HasDecoder (class in chronocratic.models.protocols)

HasEncoder (class in chronocratic.models.protocols)

I

IndependentPair (class in chronocratic.models.augmentation.producers)

J

Jitter (class in chronocratic.models.augmentation.primitives)

JitterParameters (class in chronocratic.models.augmentation.primitives)

L

LevelModel (class in chronocratic.models.layers.general)

loss_function() (chronocratic.models.generative.timevae.vae_base.BaseVariationalAutoencoder method)

M

make_series2vec_supervised() (in module chronocratic.models.supervised.factory) make_tst_supervised() (in module chronocratic.models.supervised.factory) make_tstcc_supervised() (in module chronocratic.models.supervised.factory) maybe_configure_augmentation_optimizer() (in module chronocratic.models.augmentation.trainable_support) maybe_train_augmentation() (in module chronocratic.models.augmentation.trainable_support) MCLModelParameters (class in chronocratic.models.convolutional.standard.mcl.config) module chronocratic.models._mixin.encoding chronocratic.models.augmentation.base chronocratic.models.augmentation.decorators chronocratic.models.augmentation.primitives chronocratic.models.augmentation.producers chronocratic.models.augmentation.trainable_support chronocratic.models.convolutional.dilated._mixin.encoding chronocratic.models.convolutional.dilated.autotcl.config chronocratic.models.convolutional.dilated.autotcl.model chronocratic.models.convolutional.dilated.cost.config chronocratic.models.convolutional.dilated.cost.model chronocratic.models.convolutional.dilated.ts2vec.config chronocratic.models.convolutional.dilated.ts2vec.model chronocratic.models.convolutional.standard.mcl.config chronocratic.models.convolutional.standard.mcl.model chronocratic.models.convolutional.standard.series2vec.config chronocratic.models.convolutional.standard.series2vec.model chronocratic.models.convolutional.standard.tstcc.config chronocratic.models.convolutional.standard.tstcc.model chronocratic.models.distances.soft_dtw.soft_dtw_cuda chronocratic.models.generative.timevae.config chronocratic.models.generative.timevae.model chronocratic.models.generative.timevae.vae_base chronocratic.models.layers.general chronocratic.models.protocols chronocratic.models.recurrent.timenet.config chronocratic.models.recurrent.timenet.model chronocratic.models.supervised.factory chronocratic.models.supervised.supervised chronocratic.models.transformer.tst.config chronocratic.models.transformer.tst.model

O

on_fit_start() (chronocratic.models.convolutional.dilated.cost.model.CoST method)

P

Permutation (class in chronocratic.models.augmentation.primitives) PermutationParameters (class in chronocratic.models.augmentation.primitives) PoolingEncodingMixin (class in chronocratic.models.convolutional.dilated._mixin.encoding) predict() (chronocratic.models.generative.timevae.vae_base.BaseVariationalAutoencoder method) produce() (chronocratic.models.augmentation.base.AugmentationProducer method) (chronocratic.models.augmentation.base.TrainableAugmentationProducer method) (chronocratic.models.augmentation.decorators.Seeded method) (chronocratic.models.augmentation.producers.FullOverlapPair method) (chronocratic.models.augmentation.producers.IndependentPair method) (chronocratic.models.augmentation.producers.RolePair method) (chronocratic.models.augmentation.producers.SingleViewProducer method)

R

reconstruct() (chronocratic.models.transformer.tst.model.TST method) representation_dim (chronocratic.models.convolutional.standard.series2vec.model.Series2Vec property) (chronocratic.models.convolutional.standard.tstcc.model.TSTCC property) (chronocratic.models.supervised.supervised.RepresentationBackbone property) (chronocratic.models.transformer.tst.model.TST property)

RepresentationBackbone (class in chronocratic.models.supervised.supervised) reseed() (chronocratic.models.augmentation.base.Reseedable method) Reseedable (class in chronocratic.models.augmentation.base) reset_parameters() (chronocratic.models.layers.general.BandedFourierLayer method) ResidualConnection (class in chronocratic.models.layers.general) RolePair (class in chronocratic.models.augmentation.producers)

S

Sampling (class in chronocratic.models.generative.timevae.vae_base) Scaling (class in chronocratic.models.augmentation.primitives) ScalingParameters (class in chronocratic.models.augmentation.primitives) SeasonalLayer (class in chronocratic.models.layers.general) Seeded (class in chronocratic.models.augmentation.decorators) Series2Vec (class in chronocratic.models.convolutional.standard.series2vec.model)

Series2VecModelParameters (class in chronocratic.models.convolutional.standard.series2vec.config) should_train() (chronocratic.models.augmentation.base.AugmentationTrainingStrategy method) should_train_augmentation() (chronocratic.models.augmentation.base.TrainableAugmentationProducer method) SingleView (class in chronocratic.models.augmentation.base) SingleViewProducer (class in chronocratic.models.augmentation.producers) SoftDTW (class in chronocratic.models.distances.soft_dtw.soft_dtw_cuda) SupervisedModule (class in chronocratic.models.supervised.supervised)

T

timed_run() (in module chronocratic.models.distances.soft_dtw.soft_dtw_cuda) TimeNet (class in chronocratic.models.recurrent.timenet.model) TimeNetModelParameters (class in chronocratic.models.recurrent.timenet.config) TimeVAE (class in chronocratic.models.generative.timevae.model) TimeVAEDecoder (class in chronocratic.models.generative.timevae.model) TimeVAEEncoder (class in chronocratic.models.generative.timevae.model) TimeVAEModelParameters (class in chronocratic.models.generative.timevae.config) train_step() (chronocratic.models.augmentation.base.TrainableAugmentationProducer method) TrainableAugmentationProducer (class in chronocratic.models.augmentation.base) training_step() (chronocratic.models.convolutional.dilated.autotcl.model.AutoTCL method) (chronocratic.models.convolutional.dilated.cost.model.CoST method) (chronocratic.models.convolutional.dilated.ts2vec.model.TS2Vec method) (chronocratic.models.convolutional.standard.mcl.model.FCN method) (chronocratic.models.convolutional.standard.series2vec.model.Series2Vec method) (chronocratic.models.convolutional.standard.tstcc.model.TSTCC method) (chronocratic.models.generative.timevae.vae_base.BaseVariationalAutoencoder method) (chronocratic.models.recurrent.timenet.model.TimeNet method) (chronocratic.models.supervised.supervised.SupervisedModule method) (chronocratic.models.transformer.tst.model.TST method)

TrendLayer (class in chronocratic.models.layers.general) TS2Vec (class in chronocratic.models.convolutional.dilated.ts2vec.model) TS2VecModelParameters (class in chronocratic.models.convolutional.dilated.ts2vec.config) TST (class in chronocratic.models.transformer.tst.model) TSTCC (class in chronocratic.models.convolutional.standard.tstcc.model) TSTCCModelParameters (class in chronocratic.models.convolutional.standard.tstcc.config) TSTModelParameters (class in chronocratic.models.transformer.tst.config)

V

validation_step() (chronocratic.models.convolutional.dilated.autotcl.model.AutoTCL method) (chronocratic.models.convolutional.dilated.cost.model.CoST method) (chronocratic.models.convolutional.dilated.ts2vec.model.TS2Vec method) (chronocratic.models.convolutional.standard.mcl.model.FCN method) (chronocratic.models.convolutional.standard.series2vec.model.Series2Vec method) (chronocratic.models.convolutional.standard.tstcc.model.TSTCC method) (chronocratic.models.generative.timevae.vae_base.BaseVariationalAutoencoder method) (chronocratic.models.recurrent.timenet.model.TimeNet method) (chronocratic.models.supervised.supervised.SupervisedModule method) (chronocratic.models.transformer.tst.model.TST method)

ViewPair (class in chronocratic.models.augmentation.base)