Mining Software Artifacts for use in Automated Machine Learning
Successfully implementing classical supervised machine learning pipelines requires that users have software engineering, machine learning, and domain experience. Machine learning libraries have helped along the first two dimensions by providing modular implementations of popular algorithms. However,...
Main Author: | Cambronero Sánchez, José Pablo |
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Other Authors: | Rinard, Martin C. |
Format: | Thesis |
Published: |
Massachusetts Institute of Technology
2022
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Online Access: | https://hdl.handle.net/1721.1/139465 |
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