[SPARK-5726] Hadamard Vector Product Transformer

• Type: Improvement
• Status: Resolved
• Priority: Major
• Resolution: Fixed
• Fix Version/s: 1.4.0
• Component/s: ML, MLlib
• Target Version/s: 1.4.0
• Assignee: Octavian Geagla
• Reporter: Octavian Geagla
• Shepherd: Xiangrui Meng
• Created: 10/Feb/15 23:24
• Updated: 12/May/15 21:30
• Resolved: 07/May/15 21:50

Description

I originally posted my idea here: http://apache-spark-developers-list.1001551.n3.nabble.com/Any-interest-in-weighting-VectorTransformer-which-does-component-wise-scaling-td10265.html

A draft of this feature is implemented, documented, and tested already. Code is on a branch on my fork here: https://github.com/ogeagla/spark/compare/spark-mllib-weighting

I'm curious if there is any interest in this feature, in which case I'd appreciate some feedback. One thing that might be useful is an example/test case using the transformer within the ML pipeline, since there are not any examples which use Vectors.

Issue Links

• is related to: SPARK-7459 Add Java example for ElementwiseProduct in programming guide
• relates to: SPARK-7576 User guide update for spark.ml ElementwiseProduct
• links to: [Github] Pull Request #4580 (ogeagla)