LibCity / Bigscity-LibCity

LibCity: An Open Library for Urban Spatial-temporal Data Mining
https://libcity.ai/
Apache License 2.0
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Add model FOGS #399

Closed hczs closed 4 months ago

hczs commented 4 months ago

任务执行配置信息

数据集文件配置(FOGSDataset.json):

{
  "batch_size": 32,
  "cache_dataset": true,
  "num_workers": 0,
  "pad_with_last_sample": false,
  "train_rate": 0.7,
  "eval_rate": 0.1,
  "scaler": "standard",
  "load_external": false,
  "normal_external": false,
  "ext_scaler": "none",
  "input_window": 12,
  "output_window": 12,
  "add_time_in_day": false,
  "add_day_in_week": false,

  "y_start": 1,
  "thresh_T": 10,
  "direct_T": false,
  "weighted": false,
  "directed": false,
  "p": 1,
  "q": 1,
  "num_walks": 10,
  "walk_length": 25,
  "dimensions": 128,
  "window_size": 10,
  "workers": 0,
  "iter": 10,
  "thresh_cos": 10,
  "direct_L": true,
  "direct": false,
  "strides": 4
}

模型参数配置(FOGS.json):

{
  "max_epoch": 200,

  "learner": "adam",
  "learning_rate": 0.003,
  "lr_epsilon": 1.0e-8,
  "weight_decay": 0,

  "lr_decay": true,
  "lr_scheduler": "MultiStepLR",
  "lr_decay_ratio": 0.3,
  "steps": [15, 40, 70, 105, 145],

  "clip_grad_norm": true,
  "max_grad_norm": 5,
  "use_early_stop": true,
  "patience": 50,

  "input_window": 12,
  "output_window": 12,
  "hidden_dims": [[64, 64, 64], [64, 64, 64], [64, 64, 64]],
  "first_layer_embedding_size": 64,
  "out_layer_dim": 128,
  "activation": "GLU",
  "use_mask": true,
  "temporal_emb": true,
  "spatial_emb": true,
  "strides": 4,
  "use_trend": true,
  "trend_embedding": false

}

任务执行结果信息

跑了两个数据集,结果如下: