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Ilya Lantukh commented on IGNITE-9283: -------------------------------------- [~zaleslaw] Please review https://github.com/apache/ignite/pull/6735. > [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 > Time Spent: 10m > 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 > > -- This message was sent by Atlassian JIRA (v7.6.14#76016)