[ 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 > > -- This message was sent by Atlassian Jira (v8.3.4#803005)