[MADLIB-1206] Add mini batch based gradient descent support to MLP

• Type: New Feature
• Status: Closed
• Priority: Major
• Resolution: Fixed
• Fix Version/s: v1.14
• Component/s: Module: Neural Networks
• Assignee: Rahul Iyer
• Reporter: Nandish Jayaram
• Created: 15/Feb/18 23:38
• Updated: 17/Apr/18 18:37
• Resolved: 17/Apr/18 18:37

Description

Mini-batch gradient descent is typically the algorithm of choice when training a neural network.

MADlib currently supports IGD, we may have to add extensions to include mini-batch as a solver for MLP. Other modules will continue to use the existing IGD that does not support mini-batching. Later JIRAs will move other modules over one at a time to use the new mini-batch GD.

Related JIRA that will pre-process the input data to be consumed by mini-batch is https://issues.apache.org/jira/browse/MADLIB-1200

Issue Links

• links to: GitHub Pull Request #243