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Building custom transformers and estimators to extend PySpark's ML Pipelines.
- Format:
- Video
- Language:
- English
- Subjects (All):
- Application software--Development.
- Application software.
- Python (Computer program language).
- SPARK (Computer program language).
- Physical Description:
- 1 online resource (1 video file (59 min.)) : sound, color.
- Edition:
- [First edition].
- Place of Publication:
- [Place of publication not identified] : Manning Publications, 2021.
- 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!.
- Notes:
- OCLC-licensed vendor bibliographic record.
- OCLC:
- 1297840203
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