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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