PMML Powered
Company / Project
Software
PMML Producer
PMML Consumer
Supported
Model Type
KnowledgeSTUDIO
PMML 3.2 Decision Trees
Regression Models (Linear and Logistic)
Neural Networks
Clustering Models
Rule Set Models (Scorecards)
KnowledgeSEEKER
PMML 3.2 Decision Trees
StrategyBUILDER
PMML 3.2 Decision Trees (Strategy Trees)
Augustus / Open Data Group
Augustus
PMML 4.0
PMML 4.0
Decision Trees
(With Segmentation RFC)
Regression
(With Segmentation RFC)
Naive Bayes
(With Segmentation RFC)
(RFC) Baseline
(With Segmentation RFC)
InfoSphere Warehouse V9.5,
DB2 Data Warehouse Edition V9.1
PMML 3.1
PMML 2.0 through 3.1
Sequence Models
Naive Bayes Models
Logistic Regression Models
PMML 3.0
Association Rules
Clustering Models (center-based and distribution-based)
Regression Models
Decision Trees
PMML 2.0 through 3.0
Association Rules
Clustering Models (center-based and distribution-based)
Regression Models
Decision Trees
Neural Networks
InfoSphere Warehouse V9.7 PMML 3.2 PMML 2.0 through 3.2 Association Rule Models, Sequence Models, Naive Bayes Models, Logistic Regression Models
PMML 3.0 Clustering Models (center and distribution based), Regression Models, Decision Trees
PMML 2.0 through 3.0 Clustering Models (center and distribution based), Regression Models, Decision Trees, Neural Networks
KNIME 2.4
PMML 4.0
PMML 4.0
Neural Networks
Regression and General Regression Models
Clustering Models
Decision Trees
Support Vector Machines (including support for Transformation elements
KNIME 2.4 with R extension
PMML 4.0
All R PMML produced models (see R/Rattle entry below) that are compatible to PMML 4.0
KXEN Analytic Framework 4.0.10, 5.0.7 and 5.1.2 PMML 3.2 Regression Models, Clustering Models, Mining Models
Microsoft SQL Server PMML 2.1 Decision Trees (Classification), Clustering Models (Distribution-based)
MicroStrategy
Data Mining Services
Versions 8.0 and above
PMML 3.0, 3.1, 4.0
PMML 2.0, 2.1, 3.0,3.1, 3.2, 4.0
Regression Models (Consumer & Producer)
Decision Trees (Consumer & Producer)
Mining Models (Consumer & Producer)
Clustering Models (Consumer & Producer)
Neural Network Models (Consumer Only)
General Regression Models (Consumer Only)
Support Vector Machine Models (Consumer Only)
Rule Set Models (Consumer Only)
Association Rules (Consumer & Producer)
Time Series Models (Consumer & Producer)
Pervasive DataRush
Pervasive DataRush V5.0
PMML 3.2
PMML 3.2
Decision Trees (Consumer & Producer)
Regression Models (Consumer & Producer)
Clustering Models (kmeans Center-Based)
Association Rules (Producer)
Naive Bayes (Consumer & Producer)
PMML 2.0 through 4.0
Decision Trees
Support Vector Machines
Neural Networks
Regression and General Regression
Clustering Models
Naiive Bayes
RapidMiner with PMML Extension
PMML 3.2, 4.0
Linear Regression
Logistic Regression Models
Decision Trees
Rules
K-Medoids
K-Means
Naive Bayes
R / Rattle
PMML package
PMML 3.2
Support Vector Machines
Linear Regression Models
Binary Logistic Regression Models
Neural Networks
Decision Trees
Cluster Models
Association Rules
Salford Systems
CART 6.0
PMML 3.1
Decision Trees
Composition
TreeNet 2.0 Pro
3.1
Composition
Mars 3.0
3.2
Simple Regression (uses transformations and user-defined functions to implement basis functions)
SAND CDBMS V6.1 PMML extension
PMML 3.1, 3.2
Association Rules
Clustering Models
Regression Models
Neural Networks
Naive Bayes
Support Vector Machines
Ruleset Model
Decision Trees
SAS
SAS Enterprise Miner (versions 5.1, 5.2, 5.3)
PMML 2.1
(EM 5.1, 5.2),
PMML 3.1 (EM 5.3)
Linear Regression Models
Logistic regression Models
Decision Trees
Neural Networks
Clustering Models
Association Rules
Clementine 12.0
PMML 3.1
PMML 3.1
Produces:
Association Rules
Clustering Models
Decision Trees
Neural Networks
Regression & General Regression Models
Rule Set Models
Sequence Models
Support Vector Machines
Naive Bayes
Consumes (scores) all of the above except Regression and Sequence Models.
Clementine 11.0
PMML 3.1
PMML 3.1
Produces:
Association Rules
Clustering Models
Decision Trees
Neural Networks
Regression & General Regression
Rule Set Models
Sequence Models
Consumes (scores) all of the above except Regression and Sequence Models.
PASW Modeler 13.0 3.2 3.2
Produces:
Association Rules
Clustering Models
Decision Trees
Mining Model
Naive Bayes
Neural Networks
Regression & General Regression Models
Rule Set Models
Sequence Models
Support Vector Machines
Consumes (scores): all of the above except Regression and Sequence Models.
PASW Statistics 18.0 3.2 2.0-3.2 (available only in server version)
Clustering Models
Decision Trees
General Regression
Neural Networks
Naive Bayes (produced only by SPSS Statistics Server)
Also consumes Rule Set and Support Vector Machine Models
SPSS Version 16.0
PMML 3.1
PMML 2.0-3.1available only in the Server version
Clustering Models
Decision Trees
General Regression
Neural Networks
Naive Bayes (produced only by SPSS Server)
Also consumes Rule Set models
SPSS Statistics 17.0
PMML 3.2
PMML 2.0-3.2available only in the Server version
Clustering Models
Decision Trees
General Regression
Neural Networks
Naive Bayes (produced only by SPSS Statistics Server)
Also consumes Rule Set and Support Vector Machine Models
Teradata Warehouse Miner v5.3.1 PMML 2.1 through 3.2 Regression Models,
Decision Trees,
Neural Networks,
Clustering Models (center-based),
Mining Models (regression types only)
TIBCO Software
TIBCO Spotfire Miner 8.1
PMML 2.0
PMML 2.0
Regression Models
Decision Trees
Clustering Models (K-means)
Naive Bayes
Neural Networks
Weka (Pentaho)
Weka
PMML 3.2
Regression and General Regression
Neural Networks
Rule Set Models
Decision Trees
Zementis
PMML 4.0
PMML 2.0 through 4.0
Decision Trees
Support Vector Machines
Neural Networks
Regression & General Regression
Clustering Models
Association Rules
Mining Models
Naïve Bayes
Ruleset Models
PMML 2.0 through 4.0
Decision Trees
Support Vector Machines
Mining Models
Neural Networks
Regression & General Regression
Clustering Models
Naïve Bayes
Ruleset Models
Association Rules
PMML 2.0 through 4.0
Decision Trees
Support Vector Machines
Mining Models
Neural Networks
Regression & General Regression
Clustering Models
Naïve Bayes
Ruleset Models
Association Rules
PMML 2.0 through 4.0
Decision Trees
Support Vector Machines
Mining Models
Neural Networks
Regression & General Regression
Clustering Models
Naïve Bayes
Ruleset Models
Association Rules
PMML 4.0
PMML Transformations
Built-in Functions
e-mail info at dmg.org