Data Mining Group - PMML Powered

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 Connexion		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 Technology	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 Converter	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
	ADAPA Predictive Analytics Engine		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
	Universal PMML Plug-in for in-database scoring		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
	Universal PMML Plug-in for Hadoop		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
	Transformations Generator	PMML 4.0		PMML Transformations Built-in Functions

e-mail

info at dmg.org