[SPARK-13030] Change OneHotEncoder to Estimator

• Type: Improvement
• Status: Resolved
• Priority: Major
• Resolution: Fixed
• Affects Version/s: 1.6.0
• Fix Version/s: 2.3.0
• Component/s: ML
• Assignee: L. C. Hsieh
• Reporter: Wojciech Jurczyk
• Created: 27/Jan/16 07:47
• Updated: 10/Jan/18 23:23
• Resolved: 31/Dec/17 23:29

Description

OneHotEncoder should be an Estimator, just like in scikit-learn (http://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.OneHotEncoder.html).
In its current form, it is impossible to use when number of categories is different between training dataset and test dataset.

Issue Links

• Is contained by: SPARK-8418 Add single- and multi-value support to ML Transformers
• is related to: SPARK-23008 OnehotEncoderEstimator python API
• is related to: SPARK-21926 Compatibility between ML Transformers and Structured Streaming
• links to: [Github] Pull Request #19527 (viirya)
• links to: [Github] Pull Request #20132 (jkbradley)