[HAMA-760] Add new features to existing Multi Layer Perceptron

• Type: New Feature
• Status: Resolved
• Priority: Major
• Resolution: Fixed
• Fix Version/s: 0.6.2
• Labels: features machine_learning mlp
• Assignee: Yexi Jiang
• Reporter: Yexi Jiang
• Created: 08/Jun/13 03:37
• Updated: 10/Jun/13 23:08
• Resolved: 10/Jun/13 22:12

Description

Current MultiLayerPerceptron has only implemented the basic features of a Multi Layer Perceptron.

There are still several features need to be implemented.
In the next step the following features should be added:
1) add more cost functions such as cross entropy.
2) add momentum and regularization.
3) make the training method in MLP be public to allow user to use MLP in a standalone algorithm.
4) add more test cases on other applications, at least one with regression and one with classification.