huiminren / mtrajrec Goto Github PK

i use the code python multi_main.py,then get 3 files in the data/. ,and get 1 file in the results/. ,but now i don't know how to use those files, can you tell me the way to use them? 3q

In datasets.py file, def get_pro_features function

    def get_pro_features(self, ds_pt_list, hours, weather_dict):
        holiday = is_holiday(ds_pt_list[0].time)*1
        day = ds_pt_list[0].time.day
        # TODO: check hour data have some questions,
        hour = {'hour': np.bincount(hours).max()}  # find most frequent hours as hour of the trajectory
        weather = {'weather': weather_dict[(day, hour['hour'])]}
        features = self.one_hot(hour) + self.one_hot(weather) + [holiday]
        return features

I thought you mean get the frequent hours as hour of the trajectory, just like if I have hours = [12,12,12,12,13], the hour=12 but the code

hour = {'hour': np.bincount(hours).max()}  # find most frequent hours as hour of the trajectory

seems to get the number of the frequent hours, i.e. hour=4, not the hour.

So, I wanna know is my understanding correct, or is it other meaning?

Please note that the code of "get_rid_grid" in models_utils.py is incomplete, and the part that calculates the grid cell indices for the intermediate coordinates is missing. Additionally, the calculated mid_xid and mid_yid values are not used anywhere in the code, so this part of the code would need to be completed and integrated into the rest of the logic to correctly handle the intermediate grid cells between two consecutive points.

In the train process and evaluate process,epoch_train_id_loss is calculated.But in train id_loss calculate is epoch_train_id_loss = loss_train_ids.item(),while in evaluate is epoch_train_id_loss += loss_train_ids.item().How is this difference produced?

In the sample data provided, the longitude and latitude of the trajectory data used for training is not within the latitude and longitude range of the road network data. Could you provide the matched data?