ADAPA® Web Service for Predictive Models Sample (for ADAPA® Enterprise Edition and Amazon EC2 users)

The ADAPA® Web Service for Predictive Models allows execution of PMML models through two distinct web service calls. The ADAPA® Models Web Service exposes each uploaded predictve model as a separate operation. The name of the model becomes the name of the operation, the input mining fields of the model becomes the operation’s input parameters and the predicted mining field of the models becomes the output value. The ADAPA® JDM Web Service follows the JDM standard.

A sample client has been prepared and demonstrates the use of ADAPA® Models Web Service and ADAPA® JDM Web Service. This sample is available for download here. The sample requires Java (version 5 or later) Development Kit and Apache Ant to execute. To execute the sample client, you need to have Java and Ant available in the system path.

Details regarding configuration and execution of the sample client can be found in the ADAPA® Models WS Guide that you can download from the ADAPA® help page or from here.

The ADAPA® Web Service for Predictive Models allows execution of PMML models through two distinct web service calls. The ADAPA® Models Web Service exposes each uploaded predictve model as a separate operation. The name of the model becomes the name of the operation, the input mining fields of the model becomes the operation’s input parameters and the predicted mining field of the models becomes the output value. The ADAPA® JDM Web Service follows the JDM standard.

A sample client has been prepared and demonstrates the use of ADAPA® Models Web Service and ADAPA® JDM Web Service. This sample is available for download here. The sample requires Java (version 5 or later) Development Kit and Apache Ant to execute. To execute the sample client, you need to have Java and Ant available in the system path.

Details regarding configuration and execution of the sample client can be found in the ADAPA® Models WS Guide that you can download from the ADAPA® help page or from here.

Comprehensive blog featuring topics related to predictive analytics with an emphasis on open standards, Predictive Model Markup Language (PMML), cloud computing, as well as the deployment and integration of predictive models in any business process.

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