See PMML for more info on the Predictive Model Markup Language.
If your product is not represented in the list above, please speak up. Our intention is to have a comprehensive and updated list of products that support the PMML standard.
This list was compiled with the help of the Data Mining Group (DMG) and its participants. Thank you!
| Company / Project | Software | PMML Producer | PMML Consumer | Supported Model Type |
| IBM | Infosphere Warehouse V9.5, DB2 Data Warehouse Edition V9.1 | PMML 3.1 | PMML 2.0 through 3.1 | Sequence Models Naïve 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 | ||
| KNIME | 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). | |
| KXEN | PMML 3.2 | Regression Models Clustering Models Mining Models (Regression) | ||
| Microstrategy | MicroStrategy Versions 8.0 and above | PMML 3.0, 3.1 | PMML 2.0, 2.1, 3.0, 3.1, 3.2 | 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) To be released: Association Rules (Consumer & Producer) Time Series Models (Consumer & Producer) |
| Microsoft | SQL Server 2008 | PMML 2.1 | PMML 2.1 | Decision Trees (classification only) Clustering Models |
| R / Rattle | 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 | 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 |
| SPSS | Clementine 12.0 and PASW Modeler Version 13.0 | 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 Naïve 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. | |
| SPSS Version 16.0 | PMML 3.1 | PMML 2.0-3.1 - available 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 and PASW Statistics Version 18.0 | PMML 3.2 | PMML 2.0-3.2 - available 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 | |
| StatSoft | STATISTICA | PMML 3.1(?) | Decision Trees Support Vector Machines Neural Networks Regression Models | |
| Weka (Pentaho) | | PMML 3.2 | Regression and General Regression Neural Networks | |
| Zementis | Zementis PMML Converter | PMML 3.2 | PMML 2.1, 3.0, 3.1 | Decision Trees Support Vector Machines Neural Networks Regression & General Regression Clustering Models Association Rules |
| | PMML 3.2 | Decision Trees Support Vector Machines Neural Networks Regression & General Regression Clustering Models Coming soon: Naive Bayes Association Rules | ||
If your product is not represented in the list above, please speak up. Our intention is to have a comprehensive and updated list of products that support the PMML standard.
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