When would the code to train and test models be added?

[Akhila-Yerukola]

No description provided.

[raspberryjoy]

I am also trying to run this code for the MATE model.

After running prep_mate.sh I continued with the following :

python prep_hdf5.py --w2v ../w2v/tv.bin --name ../data/preprocessed/TV_MATE --data ../data/train/tv.trn --lemmatize

python prep_hdf5_test.py --data ../data/gold/aspects/tv-tst.asp --name ../data/preprocessed/TV_MATE_TEST --vocab ../data/preprocessed/TV_MATE_word_mapping.txt --products ../data/preprocessed/TV_MATE_product_mapping.txt --lemmatize

if running on python 3.6 , in prep_hdf5.py and prep_hdf5_test.py
this line (line 186 in prep_hdf5_test, and 302 in prep_hdf5)
data, labels, products, scodes, original = zip(*sorted(sample(zip(data, labels, products, scodes, original), len(data)),key=lambda x:len(x[0])))

should be changed to this:
data, labels, products, scodes, original = zip(*sorted(sample(zip(data, labels, products, scodes, original), len(data)),key=lambda x:len(x[0])))

data, products, scodes, original = zip(*sorted(sample(list(zip(data, products, scodes, original)) , len(data)),key=lambda x:len(x[0])))

Also the following lines

scodes.append(scode)
original.append(orig[i])

should be changed to the following (because of the No conversion path for dtype: dtype error)

scodes.append(scode.encode('utf8'))
original.append(orig[i].encode('utf8'))

[shramezani]

Hi raspberryjoy,
Do you know any script example for training/evaluating the model?

[raspberryjoy]

Hi raspberryjoy,
Do you know any script example for training/evaluating the model?

Hello,
I am trying to train the aspect encoder using the following command.

python mate.py ../data/preprocessed/TV_MATE --test_data ../data/preprocessed/TV_MATE_TEST --min_len 2 --aspects 10 --aspect_seeds ../data/seeds/tv.5-weights.txt --recon_method centr --kmeans --kmeans_iter 5 --attention --negative 20 --fix_w_emb --fix_a_emb --epochs 10 --lr 0.001 --l 1

[shramezani]

Thank you :)

[shramezani]

Hi raspberryjoy,
Do you know any script example for training/evaluating the model?

Hello,
I am trying to train the aspect encoder using the following command.

python mate.py ../data/preprocessed/TV_MATE --test_data ../data/preprocessed/TV_MATE_TEST --min_len 2 --aspects 10 --aspect_seeds ../data/seeds/tv.5-weights.txt --recon_method centr --kmeans --kmeans_iter 5 --attention --negative 20 --fix_w_emb --fix_a_emb --epochs 10 --lr 0.001 --l 1

Thank you for your response. Another question; Did you get F1~ 50% for aspect extraction using mate model? the result I'm getting is really bad ( less than 20%)

[raspberryjoy]

I have not been able to evaluate the model.
I am still having some issues trainning the mate model in my cuda setup.

[janpf]

Did you pursue this further and were able to train/evaluate the models?

[raspberryjoy]

Hello,
No, I gave up ...