[ML] Tuning the hyper-parameters of an estimator/evaluator

[Alexey Zinoviev]

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.

Alex.

[Yuriy Babak]

Hi, Alexey.

Yes, I think we need it. And if you are ready for this task I created it for
you:
https://issues.apache.org/jira/browse/IGNITE-8924

Regards,
Yury



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