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From Alexey Zinoviev <zaleslaw....@gmail.com>
Subject [ML] Tuning the hyper-parameters of an estimator/evaluator
Date Wed, 04 Jul 2018 07:35:24 GMT
Hi, Igniters,

I suggest to add analogue of Parameter Grid from scikit-learn to tune
hyper-parameters in Cross-Validation process.

Currently, the Ignite ML module has only Cross-Validation support and the
user needs to find the best parameters manually in a few while-cycles.

Yes, I could do this task.


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