Comments (8)
Hi @balysMorkunas ,
Thank you for your interest in code2seq!
I believe that the paper may give a better intuition than what I can describe in brief: https://openreview.net/pdf?id=H1gKYo09tX
Let me know if you have any specific questions!
Uri
from code2seq.
Thank you, I'll contact again if any serious questions arise!
from code2seq.
Hi again,
I started looking at how to retrain the model and preprocess the dataset for documentation generation. I followed your suggestion on issue #34 where you suggest to change JavaExtractor to output documentation instead of method names.
Could you please elaborate/give example on how to do that? Do you by chance mean to use node.getJavaDoc()
instead of node.getName()
? What other changes should I be aware of?
Thank you very much for your time and effort, I really appreciate it,
Balys.
from code2seq.
Hi @urialon, I am in a very similar situation to @balysMorkunas and would also like to hear your input about this question. Thank you for your time!
from code2seq.
Hi @balysMorkunas and @bacevicius ,
Thank you for your interest in code2seq!
Do you by chance mean to use node.getJavaDoc() instead of node.getName()
Basically yes!
Another option, if you wish to train on an existing dataset, is to set it to a unique ID, and then replace the unique ID with the documentation later. See also:
#45
For additional scripts and hyperparameters.
Best,
Uri
from code2seq.
Thanks for your answer @urialon !
Do you think that the hyperparameters config.SUBTOKENS_VOCAB_MAX_SIZE = 190000
and config.TARGET_VOCAB_MAX_SIZE = 27000
are enough for documentation generation, or should be increased?
Anything else to watch out for, regarding the hyperparameters, maybe max_code_len
and min_code_len
in JavaExtractor?
Thank you very much for your time,
Balys.
from code2seq.
Hi @balysMorkunas ,
Sorry for the delayed response.
These hyperparameters look OK to me, but they depend on the exact dataset and can never really be known in advance.
max_code_len
and min_code_len
refer to the size of the functions that you consider, so it is up to the dataset you are working with.
Best,
Uri
from code2seq.
Thanks for your help!
from code2seq.
Related Issues (20)
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