[jira] [Updated] (IGNITE-9283) [ML] Add Discrete Cosine preprocessor

["Aleksey Zinoviev (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/IGNITE-9283?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Aleksey Zinoviev updated IGNITE-9283:
-------------------------------------
    Affects Version/s: 3.0

> [ML] Add Discrete Cosine preprocessor
> -------------------------------------
>
>                 Key: IGNITE-9283
>                 URL: https://issues.apache.org/jira/browse/IGNITE-9283
>             Project: Ignite
>          Issue Type: Sub-task
>          Components: ml
>    Affects Versions: 3.0
>            Reporter: Aleksey Zinoviev
>            Assignee: Ilya Lantukh
>            Priority: Major
>          Time Spent: 40m
>  Remaining Estimate: 0h
>
> Add [https://en.wikipedia.org/wiki/Discrete_cosine_transform]
> 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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