* feat: FreTS

* feat: FreTS

* fix

* astgnn update

* fix

* Addressed requested changes

* feat: pdformer

* fix

* feat: add Model Trafformer

* fix: clean Trafformer code

* feat: add Model STWave

* fix: STWave TE data concat with X and Y data

* fix: clean STWave code

* add model STSSL.

* add stssl evaluate tool

* add stssl evaluate tool

* finished adding stssl

* 复用已有Dataset、Evaluator，增加了四个traffic-state的评价指标，复用已有loss函数

* 去除INOUT评估指标，去除无效的配置文件

* 为所有masked的state预测评估函数添加mask_val，修复遗留问题

* 修复错误删除了simSTDataset在init文件中的引用

* feat: add Model MegaCRN

* fix: clean MegaCRN code

* fix: MegaCRN adapt to the multiple ext_feature case

* fix: TESTAM remove input_dim and add multi-feature

* fix: TESTAM adapt to the multiple feature case

* feat: add Model MegaCRN

* fix: clean MegaCRN code

fix: use the time interval to calculate the TESTAM vocab szie parameter and TimeMixer input adjust to the BTNF (#426)

* fix: add vocab_size parameter

* fix: TimeMixer tmp save

* fix: TimeMixer input adjust to the BTNF

* fix: use the time interval to calculate the TESTAM vocab szie parameter

* fix: add linear layer for input and output to handle feature

* fix: use time_intervals to calculate points_per_hour

* fix: remove time_intervals parameter

* feat: add zero_pad and gaussian_noise

* fix

* fix

* feat: add model TimeMixer

* fix: clean TimeMixer.json duplicate configuration

* fix: formatted STPGCN and StAEformer code

* fix:  fixed input_window parameter not working

* fix: fix the issue with the output layer and remove the internal configuration class

* feat: add model TimeMixer

* fix: clean TimeMixer.json duplicate configuration

* fix: formatted STPGCN and StAEformer code

* feat: add model TimeMixer

* fix: clean TimeMixer.json duplicate configuration

* feat: add model SimST

* fix: resolving JSON syntax errors

* feat: MultiSPANS

* fix: normalization.py

* fix: executor

* fix: executor

* fix: model

* style: config

* feat: multispans-w/o executor

* fix: normalization.py

* fix: utils/init

* fix: import

* masked_mae_torch add reduce param and default value is True

* add model TESTAM

* fix: np.isnan unable to pass in datatime param

* fix: clean code

* fix: restore to np.isnan

* fix: add default train loss function to testam executor

* feat: HIEST

* feat: config

* fix: conv2d

* fix: 删除executor

* fix: dataset

* add SmoothL1Loss function

* add model DSTAGNN

* reimplement smooth_l1_loss loss function

* add model STPGCN

* add model STAEformer

* add SmoothL1Loss function

* add model DSTAGNN

* reimplement smooth_l1_loss loss function

* add model STPGCN

* add SmoothL1Loss function

* add model DSTAGNN

* reimplement smooth_l1_loss loss function

* add model RGSL

* fix: cache_dataset default is true

* fix: removed duplicate import statements

* fix: removed duplicate code

* fix: update masked null value parameter

* fix: remove the RGSLDataset class and use the TrafficStatePointDataset class

* add model ST-TSNet

* fix model ST-TSNet dataset

* fix: ST-TSNet model is compatible with datasets without ext data

* fix: ST-TSNet model is compatible with datasets with multiple grid files

* fix: clean ST-TSNet code and add comments

* fix: using the built-in loss function of libcity

* add model FOGS

* add model ST-TSNet

* fix model ST-TSNet dataset

* fix: ST-TSNet model is compatible with datasets without ext data

* fix: ST-TSNet model is compatible with datasets with multiple grid files

* fix: clean ST-TSNet code and add comments

* add model sstban

* fix model sstban

* clean code

* Fix parameters for SSTBAN

* add model sstban

* fix model sstban

* clean code

* feat:esg

* fix: static_feat

* fix: static_feat

* feat: DMSTGCN

* fix: data size

* feat: add comments

* fix: add comment

---------

Co-authored-by: wangyongyao <wangyongyao@kuaishou.com>

* ST-NORM update

* solve pr

* change loss func

* fix

* rename and change loss func

* feat: model

* feat:dataset

* feat:dataset

* feat: config

* fix: dimension

* fix: hyperparameter

* feat: add requirement

This reverts commit 6c204271.

* feat: model

* feat:dataset

* feat:dataset

* feat: config

* fix: dimension

* fix: hyperparameter