[IGNITE-9284] [ML] Add a Standard Scaler

• Type: Sub-task
• Status: Resolved
• Priority: Major
• Resolution: Done
• Fix Version/s: 2.8
• Component/s: ml
• Labels: new-feature newbie
• Ignite Flags: Docs Required
• Assignee: Ravil Galeyev
• Reporter: Alexey Zinoviev
• Created: 16/Aug/18 04:05
• Updated: 31/Oct/19 13:03
• Resolved: 27/Nov/18 11:06

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:

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

 

 

Issue Links

• links to: Examples
• links to: GitHub Pull Request #4964
• links to: Licenses and JavaDocs
• links to: TC Build