[SPARK-14615] Use the new ML Vector and Matrix in the ML pipeline based algorithms

• Type: Sub-task
• Status: Resolved
• Priority: Blocker
• Resolution: Fixed
• Fix Version/s: 2.0.0
• Component/s: Build, ML
• Assignee: DB Tsai
• Reporter: DB Tsai
• Created: 13/Apr/16 23:10
• Updated: 21/Jun/16 08:05
• Resolved: 17/May/16 19:52

Description

Once SPARK-14487 and SPARK-14549 are merged, we will migrate to use the new vector and matrix type in the new ml pipeline based apis.

Issue Links

• contains: SPARK-15886 PySpark ML examples should use local linear algebra
• is blocked by: SPARK-14734 Add conversions between mllib and ml Vector, Matrix types
• relates to: SPARK-15892 Incorrectly merged AFTAggregator with zero total count
• relates to: SPARK-15790 Audit @Since annotations in ML
• links to: [Github] Pull Request #12627 (dbtsai)
• links to: [Github] Pull Request #13393 (HyukjinKwon)