libcity.model.trajectory_loc_prediction.FPMC¶

class libcity.model.trajectory_loc_prediction.FPMC.FPMC(config, data_feature)[source]¶

Bases: libcity.model.abstract_model.AbstractModel

FPMC 作为序列推荐任务中的比较经典的模型，也可以适用于下一跳预测任务 Reference: https://github.com/RUCAIBox/RecBole/blob/master/recbole/model/sequential_recommender/fpmc.py https://github.com/khesui/FPMC

calculate_loss(batch)[source]¶

Parameters: batch (Batch) – a batch of input
Returns: return training loss
Return type: torch.tensor

forward(batch)[source]¶

Defines the computation performed at every call.

Should be overridden by all subclasses.

Note

Although the recipe for forward pass needs to be defined within this function, one should call the Module instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.

predict(batch)[source]¶

Parameters: batch (Batch) – a batch of input
Returns: predict result of this batch
Return type: torch.tensor

training: bool¶