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