Comments (4)
Hi!
- Code2seq is a vanilla model that used LSTM to embed paths into vectors and then uses another LSTM to generate output sequence (e.g. method name)
- Code2class uses the same encoding method, but as a decoder, it has MLP to the number of classes. It is useful for classification tasks or when you need to build embedding of the code.
- Typed-code2seq is extended code2seq model. We describe it in paper about PSIMiner
from code2seq.
Thank you!
from code2seq.
@SpirinEgor. Thank you very much. Do you have documentation please of Code2class or published paper so that we can read more and cite it?
from code2seq.
Currently, we don't have a paper that uses the code2class model. Hope to have one soon :)
To better understand how it works, I may suggest you study the difference between vanilla code2seq and code2vec models. Code2Class indeed uses code2seq encoder (path embedding algorithm) and code2vec decoder (path aggregation and processing output vector).
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Related Issues (14)
- Scripts
- Can't install black 20.8b1 with pip HOT 1
- Passing in new java source code snippets to get predictions HOT 7
- '\n' mixed in Vocabulary['token'] HOT 3
- can i get an information about the java-med dataset parser? HOT 1
- Save model for prediction HOT 27
- Improve Code2Class usage scenario
- Failed to run minimal code example HOT 2
- Beam search for code2seq
- Application to real case study
- Not able to replicate results of paper HOT 1
- Make typechecker happy HOT 1
- Debug output \w hyperparameters
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