Import2vec - Learning Embeddings for Software Libraries
Supplemental material to the MSR 2019 submission, containing a Jupyter Notebook to reproduce some of the results of the evaluation section, as well as trained vectors in multiple dimensions for the Java, JS and Python ecosystems. For a live demo of a contextual search engine built on import2vec, ple...
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| creator | Theeten, Bart Vandeputte, Frederik Cutsem, Tom Van |
| description | Supplemental material to the MSR 2019 submission, containing a Jupyter Notebook to reproduce some of the results of the evaluation section, as well as trained vectors in multiple dimensions for the Java, JS and Python ecosystems.
For a live demo of a contextual search engine built on import2vec, please visit https://www.code-compass.com. |
| doi_str_mv | 10.5281/zenodo.2546487 |
| format | Dataset |
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| identifier | DOI: 10.5281/zenodo.2546487 |
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| language | eng |
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| title | Import2vec - Learning Embeddings for Software Libraries |
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