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From "Ravil Galeyev (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (IGNITE-9284) [ML] Add a Standard Scaler
Date Thu, 11 Oct 2018 22:10:00 GMT

     [ https://issues.apache.org/jira/browse/IGNITE-9284?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Ravil Galeyev updated IGNITE-9284:
----------------------------------
    Labels: new-feature  (was: )

> [ML] Add a Standard Scaler
> --------------------------
>
>                 Key: IGNITE-9284
>                 URL: https://issues.apache.org/jira/browse/IGNITE-9284
>             Project: Ignite
>          Issue Type: Sub-task
>          Components: ml
>            Reporter: Aleksey Zinoviev
>            Assignee: Ravil Galeyev
>            Priority: Major
>              Labels: new-feature
>
> Add analogue of [http://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.StandardScaler.html]
> 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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