[SPARK-1546] Add AdaBoost algorithm to Spark MLlib

• Type: New Feature
• Status: Resolved
• Priority: Major
• Resolution: Auto Closed
• Affects Version/s: 1.1.0
• Component/s: MLlib
• Labels: bulk-closed
• Assignee: Manish Amde
• Reporter: Manish Amde
• Created: 21/Apr/14 00:18
• Updated: 06/Jun/19 13:57
• Resolved: 06/Jun/19 13:57

Description

This task requires adding the AdaBoost algorithm to Spark MLlib. The implementation needs to adapt the classic AdaBoost algorithm to the scalable tree implementation.

The tasks involves:

• Comparing the various tradeoffs and finalizing the algorithm before implementation
• Code implementation
• Unit tests
• Functional tests
• Performance tests
• Documentation

Issue Links

• is duplicated by: SPARK-2401 AdaBoost.MH, a multi-class multi-label classifier
• is required by: SPARK-3703 Ensemble learning methods