humaticslab / attentionbasedmultimodalrnn Goto Github PK

Dear HumaticsLAB,

First of all, thanks for sharing your code.
I ran this model with all default parameters except instead of 12 weeks for 6 weeks and for model I chose "cross".
The WAPE I got is 53.46 while the WAPE in GTM paper for Cross model with Gtrend is 59.0.

I used your formula for WAPE in code. I highlighted the row in this picture

In the last four rows of this image, i got the same values by running models, only cross with Gtrend is different.

Could you please help me? I need to know how produce the same scores as you did for my comparison part as base-line models.

Bests,
Maryam

when I run python train.py --data_folder dataset

Traceback (most recent call last):
File "train.py", line 85, in
train_dataset = CustomImageDataset(config.TRAIN_DATASET, dataset_path, transform=ds_trans)
File "AttentionBasedMultiModalRNN-main/utils.py", line 32, in init
self.color = [color_dict[x] for x in self.json_df['exact_color'].tolist()]
File "/usr/local/anaconda3/lib/python3.6/site-packages/pandas/core/frame.py", line 2906, in getitem
indexer = self.columns.get_loc(key)
File "/usr/local/anaconda3/lib/python3.6/site-packages/pandas/core/indexes/base.py", line 2900, in get_loc
raise KeyError(key) from err
KeyError: 'exact_color'

The 'exact_color' is not in the colums of train.csv or test.csv, should it be 'color' ?

Can you check your code again to make sure that it can run directly?
I encountered a lot of bugs when I ran this code.

IndexError: tuple index out of range

there is 6 placeholder is the string, but 2 parameter are given.