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The case for (J)PMML
Villu Ruusmann
Openscoring OÜ
"Machines that learn"
https://twitter.com/chrisalbon/status/889987842675429376
Data science
● Business design
● All existing data records in batch mode
● Mathematical optimization problem
ML algorithms
DevOps
● Business implementation
● Single new data records in real-time mode, multiple new
data records in streaming and batch modes
● Ease-of-use and robustness typically preferable to raw
performance
Workflow
Data and Labels
● Unstructured data:
○ Low-level
○ Binary (video, images, voice)
● Structured data:
○ High-level
○ Conceptual, relational (SQL); possibly with sequential
and/or temporal dimensions
○ Metadata
Rules
● "Black box" (aka "Artificial Intelligence") models:
○ Deep and wide neural networks
● "Grey box" (aka "Machine Learning") models:
○ Shallow and narrow neural networks
○ Ensemble models
● "White box" (aka "Statistical") models:
○ Linear and logistic regression
○ Decision tree
Predictive Model Markup Language (PMML)
● A DMG.org effort since 1999
● Representing rules (functions) in terms of standardized
data structures:
○ "Conventions over configuration"
○ Backward- and forward-compatibility
○ Vendor extensions
● Platform-, language- and framework-agnostic
● Human- and machine readable, executable, writable
JPMML software stack (1/2)
● "The (Java-) API is the product"
○ PMML producer (aka model conversion) vertical
○ PMML consumer (aka model scoring) vertical
○ ML-framework vs. PMML integration testing suite
● Layered library approach
○ Lower layer(s): BSD 3-Clause License
○ Higher layers: Affero GPLv3
JPMML software stack (2/2)
Q&A
villu@openscoring.io
https://github.com/jpmml
https://github.com/openscoring
https://groups.google.com/forum/#!forum/jpmml

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The case for (J)PMML