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https://issues.apache.org/jira/browse/IGNITE-9285?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Alexey Zinoviev updated IGNITE-9285:
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Labels: newbie (was: )
> [ML] Add MaxAbsScaler as a preprocessing stage
> ----------------------------------------------
>
> Key: IGNITE-9285
> URL: https://issues.apache.org/jira/browse/IGNITE-9285
> Project: Ignite
> Issue Type: Sub-task
> Components: ml
> Reporter: Alexey Zinoviev
> Assignee: Ravil Galeyev
> Priority: Major
> Labels: newbie
> Fix For: 2.7
>
>
> Add analogue of
> [http://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.MaxAbsScaler.html#sklearn.preprocessing.MaxAbsScaler]
> Please look at the MinMaxScaler or Normalization packages in preprocessing
> package.
> Add classes if required
> 1) Preprocessor
> 2) Trainer
> 3) custom PartitionData if shuffling is a step of algorithm
>
> Requirements for successful PR:
> # PartitionedDataset usage
> # Trainer-Model paradigm support
> # Tests for Model and for Trainer (and other stuff)
> # Example of usage with small, but famous dataset like IRIS, Titanic or
> House Prices
> # Javadocs/codestyle according guidelines
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