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I have an existing hyperparameter search in Keras using kerastuner.tuners.RandomSearch. It looks like this:

tuner = RandomSearch(build_model,
    objective='val_loss',
    max_trials=18,
    executions_per_trial=3,
)

I look at dask documentation and I don't see any equivalent call, particularly for specifying the objective as 'val_loss'. Is there an equivalent in dask to the above statement? My goal is to (see if) speed up the tuner search process.

demongolem
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