Is it possible to kick off h2o's AutoML to train and evaluate models in parallel either locally or on a cluster, using something like joblib or dask?
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Closing out this question as the question has migrated, and more appropriately, belongs elsewhere (i.e. the Google Group). Here's where the topic can be found. Also a reference to H2O posting guidelines here.
I'll recap the highlights here:
- There's nothing outright that is known right now to do this, BUT:
- H2O builds one model at a time, but the creation of that model is a parallel operation
- You can potentially parallelize by having multiple API clients pointing to the same cluster, operating on different entries of in the search space