Building Custom Transformers and Estimators to Extend PySpark's ML Pipelines /

ML Pipelines are one of the best way to organize your ML code. In this video, we extend PySpark's ML Pipelines with our own components. Flexible, powerful, fast, pick three!

Bibliographic Details
Main Author: Rioux, Jonathan (Author)
Corporate Author: Safari, an O'Reilly Media Company
Format: eBook
Language:English
Published: Manning Publications, 2021.
Edition:1st edition
Subjects:
Online Access:Connect to this electronic resource
Description
Summary:ML Pipelines are one of the best way to organize your ML code. In this video, we extend PySpark's ML Pipelines with our own components. Flexible, powerful, fast, pick three!
Physical Description:1 online resource (1 video file, approximately 58 min.)
Format:Mode of access: World Wide Web.