Index

_

__getitem__() (dsipts.data_structure.modifiers.VVADataset method) (dsipts.data_structure.time_series_d1.MultiSourceTSDataSet method) (dsipts.data_structure.time_series_d2.TimeSeriesSubset method) (dsipts.data_structure.time_series_d2.TSDataModule method) __init__() (dsipts.data_management.monash.Monash method) (dsipts.data_structure.data_structure.Categorical method) (dsipts.data_structure.data_structure.TimeSeries method) (dsipts.data_structure.modifiers.Modifier method) (dsipts.data_structure.modifiers.VVADataset method) (dsipts.data_structure.time_series_d1.MultiSourceTSDataSet method) (dsipts.data_structure.time_series_d2.TimeSeriesSubset method) (dsipts.data_structure.time_series_d2.TSDataModule method) (dsipts.data_structure.utils.MyDataset method) (dsipts.models.Autoformer.Autoformer method) (dsipts.models.autoformer.layers.AutoCorrelation method) (dsipts.models.autoformer.layers.AutoCorrelationLayer method) (dsipts.models.autoformer.layers.Decoder method) (dsipts.models.autoformer.layers.DecoderLayer method) (dsipts.models.autoformer.layers.Encoder method) (dsipts.models.autoformer.layers.EncoderLayer method) (dsipts.models.autoformer.layers.moving_avg method) (dsipts.models.autoformer.layers.my_Layernorm method) (dsipts.models.autoformer.layers.PositionalEmbedding method) (dsipts.models.autoformer.layers.series_decomp method) (dsipts.models.base.Base method) (dsipts.models.crossformer.attn.AttentionLayer method) (dsipts.models.crossformer.attn.FullAttention method) (dsipts.models.crossformer.attn.TwoStageAttentionLayer method) (dsipts.models.crossformer.cross_decoder.Decoder method) (dsipts.models.crossformer.cross_decoder.DecoderLayer method) (dsipts.models.crossformer.cross_embed.DSW_embedding method) (dsipts.models.crossformer.cross_encoder.Encoder method) (dsipts.models.crossformer.cross_encoder.scale_block method) (dsipts.models.crossformer.cross_encoder.SegMerging method) (dsipts.models.CrossFormer.CrossFormer method) (dsipts.models.D3VAE.D3VAE method) (dsipts.models.d3vae.diffusion_process.GaussianDiffusion method) (dsipts.models.d3vae.embedding.DataEmbedding method) (dsipts.models.d3vae.embedding.PositionalEmbedding method) (dsipts.models.d3vae.embedding.TemporalEmbedding method) (dsipts.models.d3vae.embedding.TokenEmbedding method) (dsipts.models.d3vae.encoder.Cell method) (dsipts.models.d3vae.encoder.Encoder method) (dsipts.models.d3vae.encoder.Normal method) (dsipts.models.d3vae.encoder.NormalDecoder method) (dsipts.models.d3vae.model.denoise_net method) (dsipts.models.d3vae.model.diffusion_generate method) (dsipts.models.d3vae.model.Discriminator method) (dsipts.models.d3vae.neural_operations.BNELUConv method) (dsipts.models.d3vae.neural_operations.BNSwishConv method) (dsipts.models.d3vae.neural_operations.Conv2D method) (dsipts.models.d3vae.neural_operations.ConvBNSwish method) (dsipts.models.d3vae.neural_operations.DecCombinerCell method) (dsipts.models.d3vae.neural_operations.ELUConv method) (dsipts.models.d3vae.neural_operations.EncCombinerCell method) (dsipts.models.d3vae.neural_operations.FactorizedReduce method) (dsipts.models.d3vae.neural_operations.Identity method) (dsipts.models.d3vae.neural_operations.InvertedResidual method) (dsipts.models.d3vae.neural_operations.SE method) (dsipts.models.d3vae.neural_operations.Swish method) (dsipts.models.d3vae.neural_operations.SyncBatchNorm method) (dsipts.models.d3vae.neural_operations.SyncBatchNormSwish method) (dsipts.models.d3vae.neural_operations.UpSample method) (dsipts.models.d3vae.resnet.ConvMeanPool method) (dsipts.models.d3vae.resnet.MeanPoolConv method) (dsipts.models.d3vae.resnet.MyConvo2d method) (dsipts.models.d3vae.resnet.Res12_Quadratic method) (dsipts.models.d3vae.resnet.ResidualBlock method) (dsipts.models.d3vae.resnet.Square method) (dsipts.models.d3vae.resnet.Swish method) (dsipts.models.Diffusion.Diffusion method) (dsipts.models.Diffusion.SubNet1 method) (dsipts.models.Diffusion.SubNet2 method) (dsipts.models.Diffusion.SubNet3 method) (dsipts.models.DilatedConv.Block method) (dsipts.models.DilatedConv.DilatedConv method) (dsipts.models.DilatedConv.GLU method) (dsipts.models.DilatedConvED.Block method) (dsipts.models.DilatedConvED.DilatedConvED method) (dsipts.models.DilatedConvED.GLU method) (dsipts.models.informer.attn.AttentionLayer method) (dsipts.models.informer.attn.FullAttention method) (dsipts.models.informer.attn.ProbAttention method) (dsipts.models.informer.attn.ProbMask method) (dsipts.models.informer.attn.TriangularCausalMask method) (dsipts.models.informer.decoder.Decoder method) (dsipts.models.informer.decoder.DecoderLayer method) (dsipts.models.informer.embed.DataEmbedding method) (dsipts.models.informer.embed.FixedEmbedding method) (dsipts.models.informer.embed.PositionalEmbedding method) (dsipts.models.informer.embed.TemporalEmbedding method) (dsipts.models.informer.embed.TimeFeatureEmbedding method) (dsipts.models.informer.embed.TokenEmbedding method) (dsipts.models.informer.encoder.ConvLayer method) (dsipts.models.informer.encoder.Encoder method) (dsipts.models.informer.encoder.EncoderLayer method) (dsipts.models.informer.encoder.EncoderStack method) (dsipts.models.Informer.Informer method) (dsipts.models.itransformer.Embed.DataEmbedding method) (dsipts.models.itransformer.Embed.DataEmbedding_inverted method) (dsipts.models.itransformer.Embed.FixedEmbedding method) (dsipts.models.itransformer.Embed.PositionalEmbedding method) (dsipts.models.itransformer.Embed.TemporalEmbedding method) (dsipts.models.itransformer.Embed.TimeFeatureEmbedding method) (dsipts.models.itransformer.Embed.TokenEmbedding method) (dsipts.models.ITransformer.ITransformer method) (dsipts.models.itransformer.SelfAttention_Family.AttentionLayer method) (dsipts.models.itransformer.SelfAttention_Family.FlashAttention method) (dsipts.models.itransformer.SelfAttention_Family.FlowAttention method) (dsipts.models.itransformer.SelfAttention_Family.FullAttention method) (dsipts.models.itransformer.SelfAttention_Family.ProbAttention method) (dsipts.models.itransformer.SelfAttention_Family.ProbMask method) (dsipts.models.itransformer.SelfAttention_Family.TriangularCausalMask method) (dsipts.models.itransformer.Transformer_EncDec.ConvLayer method) (dsipts.models.itransformer.Transformer_EncDec.Decoder method) (dsipts.models.itransformer.Transformer_EncDec.DecoderLayer method) (dsipts.models.itransformer.Transformer_EncDec.Encoder method) (dsipts.models.itransformer.Transformer_EncDec.EncoderLayer method) (dsipts.models.LinearTS.LinearTS method) (dsipts.models.LinearTS.moving_avg method) (dsipts.models.LinearTS.series_decomp method) (dsipts.models.patchtst.layers.Flatten_Head method) (dsipts.models.patchtst.layers.moving_avg method) (dsipts.models.patchtst.layers.PatchTST_backbone method) (dsipts.models.patchtst.layers.RevIN method) (dsipts.models.patchtst.layers.series_decomp method) (dsipts.models.patchtst.layers.Transpose method) (dsipts.models.patchtst.layers.TSTEncoder method) (dsipts.models.patchtst.layers.TSTEncoderLayer method) (dsipts.models.patchtst.layers.TSTiEncoder method) (dsipts.models.PatchTST.PatchTST method) (dsipts.models.Persistent.Persistent method) (dsipts.models.RNN.MyBN method) (dsipts.models.RNN.RNN method) (dsipts.models.Samformer.Samformer method) (dsipts.models.samformer.utils.RevIN method) (dsipts.models.samformer.utils.SAM method) (dsipts.models.tft.sub_nn.embedding_cat_variables method) (dsipts.models.tft.sub_nn.GLU method) (dsipts.models.tft.sub_nn.GRN method) (dsipts.models.tft.sub_nn.InterpretableMultiHead method) (dsipts.models.tft.sub_nn.LSTM_Model method) (dsipts.models.tft.sub_nn.ResidualConnection method) (dsipts.models.TFT.TFT method) (dsipts.models.TIDE.ResidualBlock method) (dsipts.models.TIDE.TIDE method) (dsipts.models.utils.L1Loss method) (dsipts.models.utils.Permute method) (dsipts.models.utils.QuantileLossMO method) (dsipts.models.utils.SinkhornDistance method) (dsipts.models.VQVAEA.VQVAEA method) (dsipts.models.vva.minigpt.Block method) (dsipts.models.vva.minigpt.CausalSelfAttention method) (dsipts.models.vva.vqvae.Decoder method) (dsipts.models.vva.vqvae.Encoder method) (dsipts.models.vva.vqvae.Jitter method) (dsipts.models.vva.vqvae.Residual method) (dsipts.models.vva.vqvae.ResidualStack method) (dsipts.models.vva.vqvae.VectorQuantizer method) (dsipts.models.vva.vqvae.VectorQuantizerEMA method) (dsipts.models.vva.vqvae.VQVAE method) (dsipts.models.VVA.VVA method) (dsipts.models.xlstm.xLSTM.mLSTM method) (dsipts.models.xlstm.xLSTM.sLSTM method) (dsipts.models.xlstm.xLSTM.xLSTM method) (dsipts.models.xlstm.xLSTM.xLSTMBlock method)

__len__() (dsipts.data_structure.modifiers.VVADataset method) (dsipts.data_structure.time_series_d1.MultiSourceTSDataSet method) (dsipts.data_structure.time_series_d2.TimeSeriesSubset method) (dsipts.data_structure.time_series_d2.TSDataModule method)

A

act() (in module dsipts.models.d3vae.neural_operations) AttentionLayer (class in dsipts.models.crossformer.attn) (class in dsipts.models.informer.attn) (class in dsipts.models.itransformer.SelfAttention_Family)

AutoCorrelation (class in dsipts.models.autoformer.layers) AutoCorrelationLayer (class in dsipts.models.autoformer.layers) Autoformer (class in dsipts.models.Autoformer) ave() (dsipts.models.utils.SinkhornDistance static method) average_tensor() (in module dsipts.models.d3vae.utils)

B

backward() (dsipts.models.d3vae.neural_operations.SwishFN method) (dsipts.models.utils.PathDTWBatch static method) (dsipts.models.utils.SoftDTWBatch static method) Base (class in dsipts.models.base) beauty_string() (in module dsipts.data_structure.utils)

Block (class in dsipts.models.DilatedConv) (class in dsipts.models.DilatedConvED) (class in dsipts.models.vva.minigpt) BNELUConv (class in dsipts.models.d3vae.neural_operations) BNSwishConv (class in dsipts.models.d3vae.neural_operations) build_venice() (in module dsipts.data_management.public_datasets)

C

cat_categorical_vars() (dsipts.models.Diffusion.Diffusion method) (dsipts.models.TIDE.TIDE method) Categorical (class in dsipts.data_structure.data_structure) CausalSelfAttention (class in dsipts.models.vva.minigpt) Cell (class in dsipts.models.d3vae.encoder) compute() (dsipts.models.utils.SinkhornDistance method) compute_softdtw() (in module dsipts.models.utils) compute_softdtw_backward() (in module dsipts.models.utils) configure_optimizers() (dsipts.models.VVA.VVA method) Conv2D (class in dsipts.models.d3vae.neural_operations) ConvBNSwish (class in dsipts.models.d3vae.neural_operations)

convert_tsf_to_dataframe() (in module dsipts.data_management.monash) ConvLayer (class in dsipts.models.informer.encoder) (class in dsipts.models.itransformer.Transformer_EncDec) ConvMeanPool (class in dsipts.models.d3vae.resnet) Coord1dPosEncoding() (in module dsipts.models.patchtst.layers) Coord2dPosEncoding() (in module dsipts.models.patchtst.layers) copy_parameters() (in module dsipts.models.D3VAE) create_data_loader() (dsipts.data_structure.data_structure.TimeSeries method) create_pretrain_head() (dsipts.models.patchtst.layers.PatchTST_backbone method) CrossFormer (class in dsipts.models.CrossFormer) custom_collate_fn() (in module dsipts.data_structure.time_series_d2)

D

D3VAE (class in dsipts.models.D3VAE) DataEmbedding (class in dsipts.models.d3vae.embedding) (class in dsipts.models.informer.embed) (class in dsipts.models.itransformer.Embed) DataEmbedding_inverted (class in dsipts.models.itransformer.Embed) DecCombinerCell (class in dsipts.models.d3vae.neural_operations) Decoder (class in dsipts.models.autoformer.layers) (class in dsipts.models.crossformer.cross_decoder) (class in dsipts.models.informer.decoder) (class in dsipts.models.itransformer.Transformer_EncDec) (class in dsipts.models.vva.vqvae) decoder_output() (dsipts.models.d3vae.encoder.Encoder method) DecoderLayer (class in dsipts.models.autoformer.layers) (class in dsipts.models.crossformer.cross_decoder) (class in dsipts.models.informer.decoder) (class in dsipts.models.itransformer.Transformer_EncDec) default() (in module dsipts.models.d3vae.diffusion_process) denoise_net (class in dsipts.models.d3vae.model) description (dsipts.models.Autoformer.Autoformer attribute) (dsipts.models.base.Base attribute) (dsipts.models.CrossFormer.CrossFormer attribute) (dsipts.models.Diffusion.Diffusion attribute) (dsipts.models.DilatedConv.DilatedConv attribute) (dsipts.models.DilatedConvED.DilatedConvED attribute) (dsipts.models.Informer.Informer attribute) (dsipts.models.ITransformer.ITransformer attribute) (dsipts.models.LinearTS.LinearTS attribute) (dsipts.models.PatchTST.PatchTST attribute) (dsipts.models.Persistent.Persistent attribute) (dsipts.models.Samformer.Samformer attribute) (dsipts.models.TFT.TFT attribute) (dsipts.models.TIDE.TIDE attribute) (dsipts.models.VQVAEA.VQVAEA attribute) (dsipts.models.VVA.VVA attribute) Diffusion (class in dsipts.models.Diffusion) diffusion_generate (class in dsipts.models.d3vae.model) dilate_loss() (in module dsipts.models.base) DilatedConv (class in dsipts.models.DilatedConv) DilatedConvED (class in dsipts.models.DilatedConvED) Discriminator (class in dsipts.models.d3vae.model) download_dataset() (dsipts.data_management.monash.Monash method) dsipts module dsipts.data_management module dsipts.data_management.monash module dsipts.data_management.public_datasets module dsipts.data_structure module dsipts.data_structure.data_structure module dsipts.data_structure.modifiers module dsipts.data_structure.time_series_d1 module dsipts.data_structure.time_series_d2 module dsipts.data_structure.utils module dsipts.models module dsipts.models.Autoformer module dsipts.models.autoformer module dsipts.models.autoformer.layers module dsipts.models.base module dsipts.models.CrossFormer module dsipts.models.crossformer module dsipts.models.crossformer.attn module dsipts.models.crossformer.cross_decoder module dsipts.models.crossformer.cross_embed module dsipts.models.crossformer.cross_encoder module dsipts.models.D3VAE module dsipts.models.d3vae module

dsipts.models.d3vae.diffusion_process module dsipts.models.d3vae.embedding module dsipts.models.d3vae.encoder module dsipts.models.d3vae.model module dsipts.models.d3vae.neural_operations module dsipts.models.d3vae.resnet module dsipts.models.d3vae.utils module dsipts.models.Diffusion module dsipts.models.DilatedConv module dsipts.models.DilatedConvED module dsipts.models.Informer module dsipts.models.informer module dsipts.models.informer.attn module dsipts.models.informer.decoder module dsipts.models.informer.embed module dsipts.models.informer.encoder module dsipts.models.ITransformer module dsipts.models.itransformer module dsipts.models.itransformer.Embed module dsipts.models.itransformer.SelfAttention_Family module dsipts.models.itransformer.Transformer_EncDec module dsipts.models.LinearTS module dsipts.models.PatchTST module dsipts.models.patchtst module dsipts.models.patchtst.layers module dsipts.models.Persistent module dsipts.models.RNN module dsipts.models.Samformer module dsipts.models.samformer module dsipts.models.samformer.utils module dsipts.models.TFT module dsipts.models.tft module dsipts.models.tft.sub_nn module dsipts.models.TIDE module dsipts.models.utils module dsipts.models.VQVAEA module dsipts.models.VVA module dsipts.models.vva module dsipts.models.vva.minigpt module dsipts.models.vva.vqvae module dsipts.models.xlstm module dsipts.models.xlstm.xLSTM module DSW_embedding (class in dsipts.models.crossformer.cross_embed) dtw_grad() (in module dsipts.models.utils) dtw_hessian_prod() (in module dsipts.models.utils)

E

ELUConv (class in dsipts.models.d3vae.neural_operations) embedding_cat_variables (class in dsipts.models.tft.sub_nn) EncCombinerCell (class in dsipts.models.d3vae.neural_operations) Encoder (class in dsipts.models.autoformer.layers) (class in dsipts.models.crossformer.cross_encoder) (class in dsipts.models.d3vae.encoder) (class in dsipts.models.informer.encoder) (class in dsipts.models.itransformer.Transformer_EncDec) (class in dsipts.models.vva.vqvae)

EncoderLayer (class in dsipts.models.autoformer.layers) (class in dsipts.models.informer.encoder) (class in dsipts.models.itransformer.Transformer_EncDec) EncoderStack (class in dsipts.models.informer.encoder) enrich() (dsipts.data_structure.data_structure.TimeSeries method) extend_time_df() (in module dsipts.data_structure.time_series_d1) (in module dsipts.data_structure.utils) extract() (dsipts.models.d3vae.model.denoise_net method) (in module dsipts.models.d3vae.diffusion_process)

F

FactorizedReduce (class in dsipts.models.d3vae.neural_operations) first_step() (dsipts.models.samformer.utils.SAM method) fit_transform() (dsipts.data_structure.modifiers.Modifier method) (dsipts.data_structure.modifiers.ModifierVVA method) FixedEmbedding (class in dsipts.models.informer.embed) (class in dsipts.models.itransformer.Embed) flash_attention_forward() (dsipts.models.itransformer.SelfAttention_Family.FlashAttention method) FlashAttention (class in dsipts.models.itransformer.SelfAttention_Family) Flatten_Head (class in dsipts.models.patchtst.layers) FlowAttention (class in dsipts.models.itransformer.SelfAttention_Family) forecast() (dsipts.models.ITransformer.ITransformer method) forward() (dsipts.models.Autoformer.Autoformer method) (dsipts.models.autoformer.layers.AutoCorrelation method) (dsipts.models.autoformer.layers.AutoCorrelationLayer method) (dsipts.models.autoformer.layers.Decoder method) (dsipts.models.autoformer.layers.DecoderLayer method) (dsipts.models.autoformer.layers.Encoder method) (dsipts.models.autoformer.layers.EncoderLayer method) (dsipts.models.autoformer.layers.moving_avg method) (dsipts.models.autoformer.layers.my_Layernorm method) (dsipts.models.autoformer.layers.PositionalEmbedding method) (dsipts.models.autoformer.layers.series_decomp method) (dsipts.models.base.Base method) (dsipts.models.crossformer.attn.AttentionLayer method) (dsipts.models.crossformer.attn.FullAttention method) (dsipts.models.crossformer.attn.TwoStageAttentionLayer method) (dsipts.models.crossformer.cross_decoder.Decoder method) (dsipts.models.crossformer.cross_decoder.DecoderLayer method) (dsipts.models.crossformer.cross_embed.DSW_embedding method) (dsipts.models.crossformer.cross_encoder.Encoder method) (dsipts.models.crossformer.cross_encoder.scale_block method) (dsipts.models.crossformer.cross_encoder.SegMerging method) (dsipts.models.CrossFormer.CrossFormer method) (dsipts.models.D3VAE.D3VAE method) (dsipts.models.d3vae.embedding.DataEmbedding method) (dsipts.models.d3vae.embedding.PositionalEmbedding method) (dsipts.models.d3vae.embedding.TemporalEmbedding method) (dsipts.models.d3vae.embedding.TokenEmbedding method) (dsipts.models.d3vae.encoder.Cell method) (dsipts.models.d3vae.encoder.Encoder method) (dsipts.models.d3vae.model.denoise_net method) (dsipts.models.d3vae.model.diffusion_generate method) (dsipts.models.d3vae.model.Discriminator method) (dsipts.models.d3vae.model.pred_net method) (dsipts.models.d3vae.neural_operations.BNELUConv method) (dsipts.models.d3vae.neural_operations.BNSwishConv method) (dsipts.models.d3vae.neural_operations.Conv2D method) (dsipts.models.d3vae.neural_operations.ConvBNSwish method) (dsipts.models.d3vae.neural_operations.DecCombinerCell method) (dsipts.models.d3vae.neural_operations.ELUConv method) (dsipts.models.d3vae.neural_operations.EncCombinerCell method) (dsipts.models.d3vae.neural_operations.FactorizedReduce method) (dsipts.models.d3vae.neural_operations.Identity method) (dsipts.models.d3vae.neural_operations.InvertedResidual method) (dsipts.models.d3vae.neural_operations.SE method) (dsipts.models.d3vae.neural_operations.Swish method) (dsipts.models.d3vae.neural_operations.SwishFN method) (dsipts.models.d3vae.neural_operations.SyncBatchNorm method) (dsipts.models.d3vae.neural_operations.SyncBatchNormSwish method) (dsipts.models.d3vae.neural_operations.UpSample method) (dsipts.models.d3vae.resnet.ConvMeanPool method) (dsipts.models.d3vae.resnet.MeanPoolConv method) (dsipts.models.d3vae.resnet.MyConvo2d method) (dsipts.models.d3vae.resnet.Res12_Quadratic method) (dsipts.models.d3vae.resnet.ResidualBlock method) (dsipts.models.d3vae.resnet.Square method) (dsipts.models.d3vae.resnet.Swish method) (dsipts.models.Diffusion.Diffusion method) (dsipts.models.Diffusion.SubNet1 method) (dsipts.models.Diffusion.SubNet2 method) (dsipts.models.Diffusion.SubNet3 method) (dsipts.models.DilatedConv.Block method) (dsipts.models.DilatedConv.DilatedConv method) (dsipts.models.DilatedConv.GLU method) (dsipts.models.DilatedConvED.Block method) (dsipts.models.DilatedConvED.DilatedConvED method) (dsipts.models.DilatedConvED.GLU method) (dsipts.models.informer.attn.AttentionLayer method) (dsipts.models.informer.attn.FullAttention method) (dsipts.models.informer.attn.ProbAttention method) (dsipts.models.informer.decoder.Decoder method) (dsipts.models.informer.decoder.DecoderLayer method) (dsipts.models.informer.embed.DataEmbedding method) (dsipts.models.informer.embed.FixedEmbedding method) (dsipts.models.informer.embed.PositionalEmbedding method) (dsipts.models.informer.embed.TemporalEmbedding method) (dsipts.models.informer.embed.TimeFeatureEmbedding method) (dsipts.models.informer.embed.TokenEmbedding method) (dsipts.models.informer.encoder.ConvLayer method) (dsipts.models.informer.encoder.Encoder method) (dsipts.models.informer.encoder.EncoderLayer method) (dsipts.models.informer.encoder.EncoderStack method) (dsipts.models.Informer.Informer method) (dsipts.models.itransformer.Embed.DataEmbedding method) (dsipts.models.itransformer.Embed.DataEmbedding_inverted method) (dsipts.models.itransformer.Embed.FixedEmbedding method) (dsipts.models.itransformer.Embed.PositionalEmbedding method) (dsipts.models.itransformer.Embed.TemporalEmbedding method) (dsipts.models.itransformer.Embed.TimeFeatureEmbedding method) (dsipts.models.itransformer.Embed.TokenEmbedding method) (dsipts.models.ITransformer.ITransformer method) (dsipts.models.itransformer.SelfAttention_Family.AttentionLayer method) (dsipts.models.itransformer.SelfAttention_Family.FlashAttention method) (dsipts.models.itransformer.SelfAttention_Family.FlowAttention method) (dsipts.models.itransformer.SelfAttention_Family.FullAttention method) (dsipts.models.itransformer.SelfAttention_Family.ProbAttention method) (dsipts.models.itransformer.Transformer_EncDec.ConvLayer method) (dsipts.models.itransformer.Transformer_EncDec.Decoder method) (dsipts.models.itransformer.Transformer_EncDec.DecoderLayer method) (dsipts.models.itransformer.Transformer_EncDec.Encoder method) (dsipts.models.itransformer.Transformer_EncDec.EncoderLayer method) (dsipts.models.LinearTS.LinearTS method) (dsipts.models.LinearTS.moving_avg method) (dsipts.models.LinearTS.series_decomp method) (dsipts.models.patchtst.layers.Flatten_Head method) (dsipts.models.patchtst.layers.moving_avg method) (dsipts.models.patchtst.layers.PatchTST_backbone method) (dsipts.models.patchtst.layers.RevIN method) (dsipts.models.patchtst.layers.series_decomp method) (dsipts.models.patchtst.layers.Transpose method) (dsipts.models.patchtst.layers.TSTEncoder method) (dsipts.models.patchtst.layers.TSTEncoderLayer method) (dsipts.models.patchtst.layers.TSTiEncoder method) (dsipts.models.PatchTST.PatchTST method) (dsipts.models.Persistent.Persistent method) (dsipts.models.RNN.MyBN method) (dsipts.models.RNN.RNN method) (dsipts.models.Samformer.Samformer method) (dsipts.models.samformer.utils.RevIN method) (dsipts.models.tft.sub_nn.embedding_cat_variables method) (dsipts.models.tft.sub_nn.GLU method) (dsipts.models.tft.sub_nn.GRN method) (dsipts.models.tft.sub_nn.InterpretableMultiHead method) (dsipts.models.tft.sub_nn.LSTM_Model method) (dsipts.models.tft.sub_nn.ResidualConnection method) (dsipts.models.TFT.TFT method) (dsipts.models.TIDE.ResidualBlock method) (dsipts.models.TIDE.TIDE method) (dsipts.models.utils.L1Loss method) (dsipts.models.utils.PathDTWBatch static method) (dsipts.models.utils.Permute method) (dsipts.models.utils.QuantileLossMO method) (dsipts.models.utils.SoftDTWBatch static method) (dsipts.models.VQVAEA.VQVAEA method) (dsipts.models.vva.minigpt.Block method) (dsipts.models.vva.minigpt.CausalSelfAttention method) (dsipts.models.vva.minigpt.NewGELU method) (dsipts.models.vva.vqvae.Decoder method) (dsipts.models.vva.vqvae.Encoder method) (dsipts.models.vva.vqvae.Jitter method) (dsipts.models.vva.vqvae.Residual method) (dsipts.models.vva.vqvae.ResidualStack method) (dsipts.models.vva.vqvae.VectorQuantizer method) (dsipts.models.vva.vqvae.VectorQuantizerEMA method) (dsipts.models.vva.vqvae.VQVAE method) (dsipts.models.VVA.VVA method) (dsipts.models.xlstm.xLSTM.mLSTM method) (dsipts.models.xlstm.xLSTM.sLSTM method) (dsipts.models.xlstm.xLSTM.xLSTM method) (dsipts.models.xlstm.xLSTM.xLSTMBlock method)

FullAttention (class in dsipts.models.crossformer.attn) (class in dsipts.models.informer.attn) (class in dsipts.models.itransformer.SelfAttention_Family)

G

gaussian_likelihood() (dsipts.models.Diffusion.Diffusion method) gaussian_log_likelihood() (dsipts.models.Diffusion.Diffusion method) GaussianDiffusion (class in dsipts.models.d3vae.diffusion_process) generate() (dsipts.models.VQVAEA.VQVAEA method) (dsipts.models.VVA.VVA method) generate_dataset() (dsipts.data_management.monash.Monash method) generate_signal() (dsipts.data_structure.data_structure.Categorical method) (dsipts.data_structure.data_structure.TimeSeries method) get_activation() (in module dsipts.models.utils) get_arch_cells() (in module dsipts.models.d3vae.utils) get_batchnorm() (in module dsipts.models.d3vae.neural_operations) get_beta_schedule() (in module dsipts.models.d3vae.diffusion_process) get_cat_n_embd() (dsipts.models.tft.sub_nn.embedding_cat_variables method) get_freq() (in module dsipts.data_management.monash)

get_input_size() (in module dsipts.models.d3vae.utils) get_is_fut() (dsipts.models.tft.sub_nn.embedding_cat_variables method) get_metadata() (dsipts.data_structure.time_series_d1.MultiSourceTSDataSet method) get_pos_fut() (dsipts.models.tft.sub_nn.embedding_cat_variables method) get_pos_seq() (dsipts.models.tft.sub_nn.embedding_cat_variables method) get_scope() (in module dsipts.models.utils) get_skip_connection() (in module dsipts.models.d3vae.neural_operations) get_stride_for_cell_type() (in module dsipts.models.d3vae.utils) GLU (class in dsipts.models.DilatedConv) (class in dsipts.models.DilatedConvED) (class in dsipts.models.tft.sub_nn) gpt() (dsipts.models.VQVAEA.VQVAEA method) GRN (class in dsipts.models.tft.sub_nn) groups_per_scale() (in module dsipts.models.d3vae.utils)

H

handle_categorical_variables (dsipts.models.Autoformer.Autoformer attribute) (dsipts.models.base.Base attribute) (dsipts.models.CrossFormer.CrossFormer attribute) (dsipts.models.Diffusion.Diffusion attribute) (dsipts.models.DilatedConv.DilatedConv attribute) (dsipts.models.DilatedConvED.DilatedConvED attribute) (dsipts.models.Informer.Informer attribute) (dsipts.models.ITransformer.ITransformer attribute) (dsipts.models.LinearTS.LinearTS attribute) (dsipts.models.PatchTST.PatchTST attribute) (dsipts.models.Persistent.Persistent attribute) (dsipts.models.RNN.RNN attribute) (dsipts.models.Samformer.Samformer attribute) (dsipts.models.TFT.TFT attribute) (dsipts.models.TIDE.TIDE attribute) (dsipts.models.VQVAEA.VQVAEA attribute) (dsipts.models.VVA.VVA attribute) handle_future_covariates (dsipts.models.Autoformer.Autoformer attribute) (dsipts.models.base.Base attribute) (dsipts.models.CrossFormer.CrossFormer attribute) (dsipts.models.Diffusion.Diffusion attribute) (dsipts.models.DilatedConv.DilatedConv attribute) (dsipts.models.DilatedConvED.DilatedConvED attribute) (dsipts.models.Informer.Informer attribute) (dsipts.models.ITransformer.ITransformer attribute) (dsipts.models.LinearTS.LinearTS attribute) (dsipts.models.PatchTST.PatchTST attribute) (dsipts.models.Persistent.Persistent attribute) (dsipts.models.RNN.RNN attribute) (dsipts.models.Samformer.Samformer attribute) (dsipts.models.TFT.TFT attribute) (dsipts.models.TIDE.TIDE attribute) (dsipts.models.VQVAEA.VQVAEA attribute) (dsipts.models.VVA.VVA attribute)

handle_multivariate (dsipts.models.Autoformer.Autoformer attribute) (dsipts.models.base.Base attribute) (dsipts.models.CrossFormer.CrossFormer attribute) (dsipts.models.Diffusion.Diffusion attribute) (dsipts.models.DilatedConv.DilatedConv attribute) (dsipts.models.DilatedConvED.DilatedConvED attribute) (dsipts.models.Informer.Informer attribute) (dsipts.models.ITransformer.ITransformer attribute) (dsipts.models.LinearTS.LinearTS attribute) (dsipts.models.PatchTST.PatchTST attribute) (dsipts.models.Persistent.Persistent attribute) (dsipts.models.RNN.RNN attribute) (dsipts.models.Samformer.Samformer attribute) (dsipts.models.TFT.TFT attribute) (dsipts.models.TIDE.TIDE attribute) (dsipts.models.VQVAEA.VQVAEA attribute) (dsipts.models.VVA.VVA attribute) handle_quantile_loss (dsipts.models.Autoformer.Autoformer attribute) (dsipts.models.base.Base attribute) (dsipts.models.CrossFormer.CrossFormer attribute) (dsipts.models.Diffusion.Diffusion attribute) (dsipts.models.DilatedConv.DilatedConv attribute) (dsipts.models.DilatedConvED.DilatedConvED attribute) (dsipts.models.Informer.Informer attribute) (dsipts.models.ITransformer.ITransformer attribute) (dsipts.models.LinearTS.LinearTS attribute) (dsipts.models.PatchTST.PatchTST attribute) (dsipts.models.Persistent.Persistent attribute) (dsipts.models.RNN.RNN attribute) (dsipts.models.Samformer.Samformer attribute) (dsipts.models.TFT.TFT attribute) (dsipts.models.TIDE.TIDE attribute) (dsipts.models.VQVAEA.VQVAEA attribute) (dsipts.models.VVA.VVA attribute)

I

Identity (class in dsipts.models.d3vae.neural_operations) improving_weight_during_training() (dsipts.models.Diffusion.Diffusion method) inference() (dsipts.data_structure.data_structure.TimeSeries method) (dsipts.models.base.Base method) (dsipts.models.D3VAE.D3VAE method) (dsipts.models.Diffusion.Diffusion method) (dsipts.models.DilatedConv.DilatedConv method) (dsipts.models.VQVAEA.VQVAEA method) (dsipts.models.VVA.VVA method) inference_on_set() (dsipts.data_structure.data_structure.TimeSeries method) Informer (class in dsipts.models.Informer)

init_decoder_tower() (dsipts.models.d3vae.encoder.Encoder method) init_encoder_tower() (dsipts.models.d3vae.encoder.Encoder method) init_hidden() (dsipts.models.xlstm.xLSTM.mLSTM method) (dsipts.models.xlstm.xLSTM.sLSTM method) init_post_process() (dsipts.models.d3vae.encoder.Encoder method) init_pre_process() (dsipts.models.d3vae.encoder.Encoder method) init_sampler() (dsipts.models.d3vae.encoder.Encoder method) InterpretableMultiHead (class in dsipts.models.tft.sub_nn) inverse_transform() (dsipts.data_structure.modifiers.Modifier method) (dsipts.data_structure.modifiers.ModifierVVA method) InvertedResidual (class in dsipts.models.d3vae.neural_operations) ITransformer (class in dsipts.models.ITransformer)

J

Jitter (class in dsipts.models.vva.vqvae)

K

kernel_method() (dsipts.models.itransformer.SelfAttention_Family.FlowAttention method)

kl() (dsipts.models.d3vae.encoder.Normal method)

L

L1Loss (class in dsipts.models.utils) LinearTS (class in dsipts.models.LinearTS) load() (dsipts.data_management.monash.Monash method) (dsipts.data_structure.data_structure.TimeSeries method) load_signal() (dsipts.data_structure.data_structure.TimeSeries method) load_state_dict() (dsipts.models.samformer.utils.SAM method)

log_density_gaussian() (in module dsipts.models.d3vae.encoder) log_p() (dsipts.models.d3vae.encoder.Normal method) log_prob() (dsipts.models.d3vae.diffusion_process.GaussianDiffusion method) (dsipts.models.d3vae.encoder.NormalDecoder method) logit() (in module dsipts.models.d3vae.neural_operations) LSTM_Model (class in dsipts.models.tft.sub_nn)

M

M() (dsipts.models.utils.SinkhornDistance method) mask (dsipts.models.informer.attn.ProbMask property) (dsipts.models.informer.attn.TriangularCausalMask property) (dsipts.models.itransformer.SelfAttention_Family.ProbMask property) (dsipts.models.itransformer.SelfAttention_Family.TriangularCausalMask property) MeanPoolConv (class in dsipts.models.d3vae.resnet) mLSTM (class in dsipts.models.xlstm.xLSTM) Modifier (class in dsipts.data_structure.modifiers) ModifierVVA (class in dsipts.data_structure.modifiers) module dsipts dsipts.data_management dsipts.data_management.monash dsipts.data_management.public_datasets dsipts.data_structure dsipts.data_structure.data_structure dsipts.data_structure.modifiers dsipts.data_structure.time_series_d1 dsipts.data_structure.time_series_d2 dsipts.data_structure.utils dsipts.models dsipts.models.Autoformer dsipts.models.autoformer dsipts.models.autoformer.layers dsipts.models.base dsipts.models.CrossFormer dsipts.models.crossformer dsipts.models.crossformer.attn dsipts.models.crossformer.cross_decoder dsipts.models.crossformer.cross_embed dsipts.models.crossformer.cross_encoder dsipts.models.D3VAE dsipts.models.d3vae dsipts.models.d3vae.diffusion_process dsipts.models.d3vae.embedding dsipts.models.d3vae.encoder dsipts.models.d3vae.model dsipts.models.d3vae.neural_operations dsipts.models.d3vae.resnet dsipts.models.d3vae.utils dsipts.models.Diffusion dsipts.models.DilatedConv dsipts.models.DilatedConvED dsipts.models.Informer dsipts.models.informer dsipts.models.informer.attn dsipts.models.informer.decoder dsipts.models.informer.embed dsipts.models.informer.encoder dsipts.models.ITransformer dsipts.models.itransformer dsipts.models.itransformer.Embed dsipts.models.itransformer.SelfAttention_Family dsipts.models.itransformer.Transformer_EncDec dsipts.models.LinearTS dsipts.models.PatchTST dsipts.models.patchtst dsipts.models.patchtst.layers dsipts.models.Persistent dsipts.models.RNN dsipts.models.Samformer dsipts.models.samformer dsipts.models.samformer.utils dsipts.models.TFT dsipts.models.tft dsipts.models.tft.sub_nn dsipts.models.TIDE dsipts.models.utils dsipts.models.VQVAEA dsipts.models.VVA dsipts.models.vva dsipts.models.vva.minigpt dsipts.models.vva.vqvae dsipts.models.xlstm dsipts.models.xlstm.xLSTM

Monash (class in dsipts.data_management.monash) moving_avg (class in dsipts.models.autoformer.layers) (class in dsipts.models.LinearTS) (class in dsipts.models.patchtst.layers) MultiSourceTSDataSet (class in dsipts.data_structure.time_series_d1) my_Layernorm (class in dsipts.models.autoformer.layers) my_max() (in module dsipts.models.utils) my_max_hessian_product() (in module dsipts.models.utils) my_min() (in module dsipts.models.utils) my_min_hessian_product() (in module dsipts.models.utils) MyBN (class in dsipts.models.RNN) MyConvo2d (class in dsipts.models.d3vae.resnet) MyDataset (class in dsipts.data_structure.utils)

N

NewGELU (class in dsipts.models.vva.minigpt) noise_like() (in module dsipts.models.d3vae.diffusion_process) norm() (in module dsipts.models.d3vae.neural_operations) Normal (class in dsipts.models.d3vae.encoder)

normal_kl() (dsipts.models.Diffusion.Diffusion method) NormalDecoder (class in dsipts.models.d3vae.encoder) normalize_weight() (dsipts.models.d3vae.neural_operations.Conv2D method) normalize_weight_jit() (in module dsipts.models.d3vae.neural_operations)

P

p_losses() (dsipts.models.d3vae.diffusion_process.GaussianDiffusion method) pairwise_distances() (in module dsipts.models.utils) PatchTST (class in dsipts.models.PatchTST) PatchTST_backbone (class in dsipts.models.patchtst.layers) PathDTWBatch (class in dsipts.models.utils) Permute (class in dsipts.models.utils) Persistent (class in dsipts.models.Persistent) plot() (dsipts.data_structure.data_structure.Categorical method) (dsipts.data_structure.data_structure.TimeSeries method) positional_encoding() (in module dsipts.models.patchtst.layers)

PositionalEmbedding (class in dsipts.models.autoformer.layers) (class in dsipts.models.d3vae.embedding) (class in dsipts.models.informer.embed) (class in dsipts.models.itransformer.Embed) PositionalEncoding() (in module dsipts.models.patchtst.layers) pred_net (class in dsipts.models.d3vae.model) ProbAttention (class in dsipts.models.informer.attn) (class in dsipts.models.itransformer.SelfAttention_Family) ProbMask (class in dsipts.models.informer.attn) (class in dsipts.models.itransformer.SelfAttention_Family)

Q

q_sample() (dsipts.models.d3vae.diffusion_process.GaussianDiffusion method) (dsipts.models.Diffusion.Diffusion method)

q_sample_target() (dsipts.models.d3vae.diffusion_process.GaussianDiffusion method) QuantileLossMO (class in dsipts.models.utils)

R

random() (in module dsipts.models.VQVAEA) read_public_dataset() (in module dsipts.data_management.public_datasets) remove_var() (dsipts.models.Diffusion.Diffusion method) (dsipts.models.TFT.TFT method) (dsipts.models.TIDE.TIDE method) Res12_Quadratic (class in dsipts.models.d3vae.resnet) reset_parameters() (dsipts.models.xlstm.xLSTM.mLSTM method) (dsipts.models.xlstm.xLSTM.sLSTM method) (dsipts.models.xlstm.xLSTM.xLSTMBlock method)

Residual (class in dsipts.models.vva.vqvae) ResidualBlock (class in dsipts.models.d3vae.resnet) (class in dsipts.models.TIDE) ResidualConnection (class in dsipts.models.tft.sub_nn) ResidualStack (class in dsipts.models.vva.vqvae) RevIN (class in dsipts.models.patchtst.layers) (class in dsipts.models.samformer.utils) RNN (class in dsipts.models.RNN)

S

SAM (class in dsipts.models.samformer.utils) Samformer (class in dsipts.models.Samformer) sample() (dsipts.models.d3vae.encoder.Normal method) (dsipts.models.d3vae.encoder.NormalDecoder method) sample_given_eps() (dsipts.models.d3vae.encoder.Normal method) sample_normal_jit() (in module dsipts.models.d3vae.encoder) save() (dsipts.data_management.monash.Monash method) (dsipts.data_structure.data_structure.TimeSeries method) scale_block (class in dsipts.models.crossformer.cross_encoder) scaled_dot_product_attention() (in module dsipts.models.samformer.utils) SE (class in dsipts.models.d3vae.neural_operations) second_step() (dsipts.models.samformer.utils.SAM method) SegMerging (class in dsipts.models.crossformer.cross_encoder) series_decomp (class in dsipts.models.autoformer.layers) (class in dsipts.models.LinearTS) (class in dsipts.models.patchtst.layers) set_model() (dsipts.data_structure.data_structure.TimeSeries method) set_verbose() (dsipts.data_structure.data_structure.TimeSeries method)

setup() (dsipts.data_structure.time_series_d2.TSDataModule method) SinCosPosEncoding() (in module dsipts.models.patchtst.layers) SinkhornDistance (class in dsipts.models.utils) sLSTM (class in dsipts.models.xlstm.xLSTM) soft_clamp5() (in module dsipts.models.d3vae.encoder) SoftDTWBatch (class in dsipts.models.utils) split_for_train() (dsipts.data_structure.data_structure.TimeSeries method) Square (class in dsipts.models.d3vae.resnet) standardize_momentum() (in module dsipts.models.base) step() (dsipts.models.samformer.utils.SAM method) SubNet1 (class in dsipts.models.Diffusion) SubNet2 (class in dsipts.models.Diffusion) SubNet3 (class in dsipts.models.Diffusion) Swish (class in dsipts.models.d3vae.neural_operations) (class in dsipts.models.d3vae.resnet) SwishFN (class in dsipts.models.d3vae.neural_operations) SyncBatchNorm (class in dsipts.models.d3vae.neural_operations) SyncBatchNormSwish (class in dsipts.models.d3vae.neural_operations)

T

TemporalEmbedding (class in dsipts.models.d3vae.embedding) (class in dsipts.models.informer.embed) (class in dsipts.models.itransformer.Embed) test_dataloader() (dsipts.data_structure.time_series_d2.TSDataModule method) TFT (class in dsipts.models.TFT) TIDE (class in dsipts.models.TIDE) time_delay_agg_full() (dsipts.models.autoformer.layers.AutoCorrelation method) time_delay_agg_inference() (dsipts.models.autoformer.layers.AutoCorrelation method) time_delay_agg_training() (dsipts.models.autoformer.layers.AutoCorrelation method) TimeFeatureEmbedding (class in dsipts.models.informer.embed) (class in dsipts.models.itransformer.Embed) TimeSeries (class in dsipts.data_structure.data_structure) TimeSeriesSubset (class in dsipts.data_structure.time_series_d2) TokenEmbedding (class in dsipts.models.d3vae.embedding) (class in dsipts.models.informer.embed) (class in dsipts.models.itransformer.Embed)

train_dataloader() (dsipts.data_structure.time_series_d2.TSDataModule method) train_model() (dsipts.data_structure.data_structure.TimeSeries method) transform() (dsipts.data_structure.modifiers.Modifier method) (dsipts.data_structure.modifiers.ModifierVVA method) Transpose (class in dsipts.models.patchtst.layers) TriangularCausalMask (class in dsipts.models.informer.attn) (class in dsipts.models.itransformer.SelfAttention_Family) TSDataModule (class in dsipts.data_structure.time_series_d2) TSTEncoder (class in dsipts.models.patchtst.layers) TSTEncoderLayer (class in dsipts.models.patchtst.layers) TSTiEncoder (class in dsipts.models.patchtst.layers) TwoStageAttentionLayer (class in dsipts.models.crossformer.attn)

U

UpSample (class in dsipts.models.d3vae.neural_operations)

V

val_dataloader() (dsipts.data_structure.time_series_d2.TSDataModule method) VectorQuantizer (class in dsipts.models.vva.vqvae) VectorQuantizerEMA (class in dsipts.models.vva.vqvae)

VQVAE (class in dsipts.models.vva.vqvae) VQVAEA (class in dsipts.models.VQVAEA) VVA (class in dsipts.models.VVA) VVADataset (class in dsipts.data_structure.modifiers)

W

weight_init() (in module dsipts.models.utils)

weight_init_zeros() (in module dsipts.models.utils) weights_init() (in module dsipts.models.d3vae.resnet)

X

xLSTM (class in dsipts.models.xlstm.xLSTM)

xLSTMBlock (class in dsipts.models.xlstm.xLSTM)