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From "Aleksey Zinoviev (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (IGNITE-9283) [ML] Add Discrete Cosine preprocessor
Date Tue, 16 Jul 2019 13:00:00 GMT

    [ https://issues.apache.org/jira/browse/IGNITE-9283?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16886097#comment-16886097
] 

Aleksey Zinoviev commented on IGNITE-9283:
------------------------------------------

[~ilantukh] are you going to make this task?

> [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
>            Reporter: Aleksey Zinoviev
>            Assignee: Ilya Lantukh
>            Priority: Major
>
> 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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