UnrecognizedFlagError!!

[yzho0907]

Traceback (most recent call last):
File "src/main.py", line 7, in
from inputs import util
File "/home/young/Downloads/fudan_mtl_reviews-master/src/inputs/util.py", line 50, in
def write_vocab(vocab, vocab_file=FLAGS.vocab_file):
File "/home/young/Downloads/ENTER/envs/deeplearning/lib/python3.5/site-packages/tensorflow/python/platform/flags.py", line 84, in getattr
wrapped(_sys.argv)
File "/home/young/Downloads/ENTER/envs/deeplearning/lib/python3.5/site-packages/absl/flags/_flagvalues.py", line 630, in call
name, value, suggestions=suggestions)
absl.flags._exceptions.UnrecognizedFlagError: Unknown command line flag 'build_data'

any idea how to fix it?

[wangzhihuia]

python src/main.py build_data

[yzho0907]

thx, but missing embed300.trim.npy?

[wangzhihuia]

I am also trying to find solutions to solve this problem...

[yzho0907]

is the embed300.trim.npy a word2vec?

[FrankWork]

embed300.trim.npy is trimmed from google news word2vec. The origin file is too large, so I didn't upload it.

[FrankWork]

you can use --word_dim=50 to use pre-trained 50 dim senna embeddings

[yzho0907]

thank u very much. i would like to try to change the data-set to a Chinese data-set, a lot of work to do!

[xiaoleihuang]

@wangzhihuia @FrankWork I tried the both commands below:

1. python src/main.py build_data --word_dim=300;
2. python src/main.py --word_dim=300 --build_data;

I still got the following error:
absl.flags._exceptions.UnrecognizedFlagError: Unknown command line flag 'word_dim'

Could you help me? Thank you!

Solved
Changed the settings in the main() codes:

1. Change all 300 dims into 50
2. Create two directories: saved_models in the project root folder; in data folder, create generated'; in the saved_modelsfolder createfudan-mtl-adv`

[linxiaoby]

I remove all the flags.DEFINE in util.py, and it works. Maybe it is because only one file can has flags?

[p-null]

Hi, I tried every the method above. I still got the Unknown command line flag error.
Can someone provide a step-by-step procedure to run this program?

ps. I have also tried the exactly what author said in the readme but its not working.

[yzho0907]

plz give the full error and Traceback

[chenting0324]

Hi, how can I use a Chinese data set? How to train the file "embed300.trim.npy"

[yzho0907]

.npy file is actually a numpy type file, once u traind a 300d word embedding u can save it to a numpy type by using np.save() but more suggest that u use gensim.
Using Chinese data set i highly suggest u follow author's training data format and run the code. there is a another repo https://github.com/andyweizhao/capsule_text_classification gained a higher score.