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Go through the cited works of the papers:
* [Building Program Vector Representations
for Deep Learning](https://arxiv.org/pdf/1409.3358.pdf)
* [Supervised Deep Features for Software Functional Clon…
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Compute stats on (extracted data)https://seafile.ifi.uzh.ch/d/808e216262174188b653/). We are interested in distribution of changes across programmers, distribution of paths across changes, some insigh…
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Hello and thank you for your job!
I'm now working in code clones problem and I would like to use your approach for code representation. When I read your paper I wonder I can use your trained model …
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**Issue** Trying to load a Code2Vec_Features modelforge model does not work (traceback of the error at the end).
**Model data**
```
Code2Vec_Features:
value2index: dict[string] = int
path2i…
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* Analyze several large github projects and their commit histories
* Collect information and statistics on the commits
* Select one project
* Formalize the way to represent commit diffs
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Hello! I've tried to train a model from scratch and received following error:
`Average loss at batch 12300: 0.001828, throughput: 1302 samples/sec`
`Number of waiting examples in queue: 300000`
…