|
Company / Project
|
Software
|
PMML Producer
|
PMML Consumer
|
Supported
Model Type
|
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Augustus / Open Data Group
|
Augustus
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PMML 3.2 (PMML 4.0 in Q3 2009)
|
PMML 3.2 (PMML 4.0 in Q3 2009)
|
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
2.0
|
PMML
3.1
|
PMML
3.0 through 3.2
|
Neural
Networks
Regression
Models
Clustering
Models
Decision
Trees
Support
Vector Machines
|
|
KNIME
2.0 with R extension
|
PMML
3.2
|
|
All
R PMML produced models (see R/Rattle entry below).
|
|
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)
|
|
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 (in development as of July 2008)
|
3.2
|
|
Simple
Regression (uses transformations and user-defined functions to implement
basis functions)
|
|
SAS
|
|
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
|
|
|
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
|
|
Weka (Pentaho)
|
Weka
|
|
PMML
3.2
|
Regression
and General Regression
Neural
Networks
|
|
|
PMML
3.2
|
PMML
2.1, 3.0, 3.1
|
Decision
Trees
Support
Vector Machines
Neural
Networks
Regression
& General Regression Clustering Models Association Rules
Naïve Bayes
|
|
ADAPA Predictive Analytics Engine
|
|
PMML
3.2
|
Decision
Trees
Support
Vector Machines
Neural
Networks
Regression
& General Regression
Clustering Models
Naïve Bayes
Coming soon: Association Rules
|