H2O World 2015 - Spencer Aiello

1. To Production and Beyond
Spencer Aiello

2. The Problem
• Goal:
o Move from prototype to production
• Road block:
o Prototyping Environment Cages Your:
• Feature preprocessing
• Models
• Ideas

3. The Problem
• Even if your code is beautiful:

4. The Problem
• You cannot drag-n-drop into a new
environment.
• Translation may be difficult; humans make
mistakes

5. A Solution
H2O gives you wings:
• Export Preprocessing
• Export Models

6. H2OAssembly
o Build Rich Feature Preprocessing Assembly Lines
• Clean, reduce, and expand datasets by composing any
of the 100s of primitives available in H2O
• Build hygenic processing assembly lines that can be
applied to new batches of data
• Export your feature preprocessing steps as a plain old
java object and apply to streaming tuples

7. H2OAssembly

8. H2OAssembly
Python
Java

9. Live Demo
• Lending Club Data: Predict Interest Rate
o Four-part dataset of loan data
o 500K rows, 52 columns
o Preprocess 5 columns within a 16 step assembly
o Build a simple GBM to predict interest rate
o Export everything into a Storm topology

10. Live Demo
Storm Topology