libcity.executor.abstract_tradition_executor¶

class libcity.executor.abstract_tradition_executor.AbstractTraditionExecutor(config, model, data_feature)[source]¶

Bases: libcity.executor.abstract_executor.AbstractExecutor

evaluate(test_dataloader)[source]¶

use model to test data

Parameters: test_dataloader (torch.Dataloader) – Dataloader

load_model(cache_name)[source]¶

对于传统模型，不需要模型加载

Parameters: cache_name (str) – 保存的文件名

save_model(cache_name)[source]¶

对于传统模型，不需要模型保存

Parameters: cache_name (str) – 保存的文件名

train(train_dataloader, eval_dataloader)[source]¶

train model

Parameters

train_dataloader (torch.Dataloader) – Dataloader
eval_dataloader (torch.Dataloader) – Dataloader