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  1. Ignite
  2. IGNITE-9281 [ML] Starter ML tasks
  3. IGNITE-9285

[ML] Add MaxAbsScaler as a preprocessing stage

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    • Type: Sub-task
    • Status: Resolved
    • Priority: Major
    • Resolution: Done
    • Affects Version/s: None
    • Fix Version/s: 2.7
    • Component/s: ml
    • Labels:
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      Description

      Add analogue of http://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.MaxAbsScaler.html#sklearn.preprocessing.MaxAbsScaler

      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:

      1. PartitionedDataset usage
      2. Trainer-Model paradigm support
      3. Tests for Model and for Trainer (and other stuff)
      4. Example of usage with small, but famous dataset like IRIS, Titanic or House Prices
      5. Javadocs/codestyle according guidelines

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              • Assignee:
                rgaleyev Ravil Galeyev
                Reporter:
                zaleslaw Alexey Zinoviev
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                  Updated:
                  Resolved: