When doing hyperparameter tuning with Hyperopt, when should I use SparkTrials? Does it work with both single-machine ML (like sklearn) and distributed ML (like Apache Spark ML)?
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06-09-2021 05:51 PM
I want to know how to use Hyperopt in different situations:
- Tuning a single-machine algorithm from scikit-learn or single-node TensorFlow
- Tuning a distributed algorithm from Spark ML or distributed TensorFlow / Horovod
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