RADAR.time_series.algorithms.modelsTransformersTS.informer

Submodules

RADAR.time_series.algorithms.modelsTransformersTS.informer.attn module

class RADAR.time_series.algorithms.modelsTransformersTS.informer.attn.AttentionLayer(*args: Any, **kwargs: Any)[source]

Bases: Module

forward(queries, keys, values, attn_mask)[source]
class RADAR.time_series.algorithms.modelsTransformersTS.informer.attn.FullAttention(*args: Any, **kwargs: Any)[source]

Bases: Module

forward(queries, keys, values, attn_mask)[source]
class RADAR.time_series.algorithms.modelsTransformersTS.informer.attn.ProbAttention(*args: Any, **kwargs: Any)[source]

Bases: Module

forward(queries, keys, values, attn_mask)[source]

RADAR.time_series.algorithms.modelsTransformersTS.informer.decoder module

class RADAR.time_series.algorithms.modelsTransformersTS.informer.decoder.Decoder(*args: Any, **kwargs: Any)[source]

Bases: Module

forward(x, cross, x_mask=None, cross_mask=None)[source]
class RADAR.time_series.algorithms.modelsTransformersTS.informer.decoder.DecoderLayer(*args: Any, **kwargs: Any)[source]

Bases: Module

forward(x, cross, x_mask=None, cross_mask=None)[source]

RADAR.time_series.algorithms.modelsTransformersTS.informer.embed module

class RADAR.time_series.algorithms.modelsTransformersTS.informer.embed.DataEmbedding(*args: Any, **kwargs: Any)[source]

Bases: Module

forward(x)[source]
class RADAR.time_series.algorithms.modelsTransformersTS.informer.embed.FixedEmbedding(*args: Any, **kwargs: Any)[source]

Bases: Module

forward(x)[source]
class RADAR.time_series.algorithms.modelsTransformersTS.informer.embed.PositionalEmbedding(*args: Any, **kwargs: Any)[source]

Bases: Module

forward(x)[source]
class RADAR.time_series.algorithms.modelsTransformersTS.informer.embed.TemporalEmbedding(*args: Any, **kwargs: Any)[source]

Bases: Module

forward(x)[source]
class RADAR.time_series.algorithms.modelsTransformersTS.informer.embed.TimeFeatureEmbedding(*args: Any, **kwargs: Any)[source]

Bases: Module

forward(x)[source]
class RADAR.time_series.algorithms.modelsTransformersTS.informer.embed.TokenEmbedding(*args: Any, **kwargs: Any)[source]

Bases: Module

forward(x)[source]

RADAR.time_series.algorithms.modelsTransformersTS.informer.encoder module

class RADAR.time_series.algorithms.modelsTransformersTS.informer.encoder.ConvLayer(*args: Any, **kwargs: Any)[source]

Bases: Module

forward(x)[source]
class RADAR.time_series.algorithms.modelsTransformersTS.informer.encoder.Encoder(*args: Any, **kwargs: Any)[source]

Bases: Module

forward(x, attn_mask=None)[source]
class RADAR.time_series.algorithms.modelsTransformersTS.informer.encoder.EncoderLayer(*args: Any, **kwargs: Any)[source]

Bases: Module

forward(x, attn_mask=None)[source]
class RADAR.time_series.algorithms.modelsTransformersTS.informer.encoder.EncoderStack(*args: Any, **kwargs: Any)[source]

Bases: Module

forward(x, attn_mask=None)[source]

RADAR.time_series.algorithms.modelsTransformersTS.informer.masking module

class RADAR.time_series.algorithms.modelsTransformersTS.informer.masking.ProbMask(B, H, L, index, scores, device='cpu')[source]

Bases: object

property mask
class RADAR.time_series.algorithms.modelsTransformersTS.informer.masking.TriangularCausalMask(B, L, device='cpu')[source]

Bases: object

property mask

RADAR.time_series.algorithms.modelsTransformersTS.informer.model module

class RADAR.time_series.algorithms.modelsTransformersTS.informer.model.Informer(*args: Any, **kwargs: Any)[source]

Bases: Module

forward(x_enc, x_dec, enc_self_mask=None, dec_self_mask=None, dec_enc_mask=None)[source]

Module contents