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Posted to issues@flink.apache.org by "Chesnay Schepler (JIRA)" <ji...@apache.org> on 2019/02/28 22:58:10 UTC

[jira] [Closed] (FLINK-2258) Add hyperparameter optimization to FlinkML

     [ https://issues.apache.org/jira/browse/FLINK-2258?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Chesnay Schepler closed FLINK-2258.
-----------------------------------
    Resolution: Won't Do

Closing since flink-ml is effectively frozen.

> Add hyperparameter optimization to FlinkML
> ------------------------------------------
>
>                 Key: FLINK-2258
>                 URL: https://issues.apache.org/jira/browse/FLINK-2258
>             Project: Flink
>          Issue Type: New Feature
>          Components: Library / Machine Learning
>            Reporter: Theodore Vasiloudis
>            Priority: Major
>              Labels: ML
>
> Hyperparameter optimization is a suite of techniques that are used to find the best hyperparameters for a machine learning model, in respect to the performance on an independent (test) dataset.
> The most common way it is implemented is by using cross-validation to estimate the model performance on the test set, and using grid search as the strategy to try out different parameters.
> In the future we would like to support random search and Bayesian optimisation.



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