[SPARK-3246] Support weighted SVMWithSGD for classification of unbalanced dataset

• Type: Improvement
• Status: Closed
• Priority: Major
• Resolution: Won't Fix
• Affects Version/s: 0.9.0, 1.0.2
• Component/s: MLlib
• Assignee: Unassigned
• Reporter: mahesh bhole
• Created: 27/Aug/14 06:47
• Updated: 24/Feb/17 07:16
• Resolved: 24/Feb/17 07:16

Description

Please support weighted SVMWithSGD for binary classification of unbalanced dataset.Though other options like undersampling or oversampling can be used,It will be good if we can have a way to assign weights to minority class.

Issue Links

• relates to: SPARK-9610 Class and instance weighting for ML