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

minhchick

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

Manning - Building Custom Transformers and Estimators to Extend PySpark's ML Pipelines-iLLiTERATE
English | Size: 390.20 MB
Category: Tutorial

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!

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



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