The ADAPA Console is somewhat equivalent to the ADAPA Predictive Analytics Demo which is available for free. However, the ADAPA Console expands in functionality quite a bit. For example, it allows for the execution of many models (not just one). In this way, a data file can be uploaded and processed against any existing models. In addition, there is no limit to the number of records that can be scored at any single time, i.e. a data file can be uploaded and processed in its entirety. The resulting file is then available for downloading with the ADAPA computed value for every record (with the exception of records with missing values for which there is no missing value handling strategy defined in the PMML file).
Model results can also be obtained in real-time by means of web-service calls. The help function in the console itself contains a link to documentation on how to have your web-services set-up. The help page also contains a link to a document describing all the data mining techniques supported by ADAPA with a description of their PMML representation. This is useful in case you want to learn how to represent your models in PMML (or find out how they are represented in case you are using an automatically exported PMML file).
Each running ADAPA instance executes its own ADAPA. Therefore, each instance executes its own version of the ADAPA Console. If you have, for example, three instances running, you will have access to three different consoles, one for each instance. So, if you want to execute the same model in all instances, you will need to upload the model in all three instances.
In order to access the ADAPA Console, you first need to purchase ADAPA through Amazon. Whenever your account is set up and you are able to access the ADAPA Control Center, you will then be able to use the provided URL (click on the console column of the ADAPA Control Center) to access the ADAPA Console for each running ADAPA instance.
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.
