[ https://issues.apache.org/jira/browse/IGNITE-9284?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Aleksey Zinoviev updated IGNITE-9284: ------------------------------------- Description: 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 was: 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 > [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 > Priority: Major > > 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 > > -- This message was sent by Atlassian JIRA (v7.6.3#76005)