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
Call Number:Libro Electrónico
Format: Electronic Video
Language:Inglés
Published: [Place of publication not identified] : Manning Publications, 2021.
Edition:[First edition].
Subjects:
Application software > Development.
Python (Computer program language)
SPARK (Computer program language)
Logiciels d'application > Développement.
Python (Langage de programmation)
Webcast
Instructional films.
Internet videos.
Nonfiction films.
Films de formation.
Films autres que de fiction.
Vidéos sur Internet.
Online Access:Texto completo (Requiere registro previo con correo institucional)

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