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!.
Saved in:
| Format: | Video |
|---|---|
| Language: | English |
| Published: |
[Place of publication not identified] :
Manning Publications,
2021.
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| Edition: | [First edition]. |
| Subjects: | |
| Online Access: | CONNECT CONNECT |
