[SPARK-11439] Optimization of creating sparse feature without dense one

• Type: Improvement
• Status: Resolved
• Priority: Minor
• Resolution: Fixed
• Fix Version/s: 2.0.0
• Component/s: ML
• Assignee: Nakul Jindal
• Reporter: Kai
• Created: 01/Nov/15 01:05
• Updated: 10/Dec/15 03:06
• Resolved: 08/Dec/15 11:08

Description

Currently, sparse feature generated in LinearDataGenerator needs to create dense vectors once. It is cost efficient to prevent from generating dense feature when creating sparse features.

Issue Links

• relates to: SPARK-11207 Add test cases for solver selection of LinearRegression as followup.
• links to: [Github] Pull Request #9745 (nakul02)
• links to: [Github] Pull Request #9756 (nakul02)