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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Theeten, Bart, Vandeputte, Frederik, Cutsem, Tom Van
Format: Dataset
Sprache:eng
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung: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:10.5281/zenodo.2546487