[MADLIB-1359] Support DL predict without training on MADlib

• Type: New Feature
• Status: Closed
• Priority: Major
• Resolution: Fixed
• Fix Version/s: v1.17
• Component/s: Module: Neural Networks
• Assignee: Unassigned
• Reporter: Frank McQuillan
• Created: 13/Jun/19 19:31
• Updated: 15/Aug/19 17:10
• Resolved: 06/Aug/19 20:54

Description

Story

As a data scientist,
I want to download a model architecture and weights from an external source and run predict with MADlib (without training on MADlib)
so that
I can use models designed trained elsewhere without having to do all that work myself

Acceptance

1. Download a simple model for MNIST and load into model arch table using helper functions. Run predict on test examples and get predictions.
2. Same as #1 with Places 10 using VGG16 weights.