Simplifying robust end-to-end machine learning on Apache Spark.
Role in this project:
ML Engineer Contributions:7 commits, 4 PRs, 8 comments in 8 days
Contributions summary:Nicolas primarily focused on integrating and testing part-of-speech tagging and named entity recognition capabilities using the Epic library within the Keystone project. Their contributions include implementing `POSTagger` and `NER` classes, which leverage Epic's models. The user also wrote unit tests using Mockito and refactored code to improve the integration of these NLP functionalities, with testing on both local and Spark environments.
apache-sparkmachine-learning
Contributions:236 commits, 34 pushes, 6 branches in 1 year 6 months