When you first launch the ADAPA Predictive Analytics demo, we will see a single tab entitled "New Model" ... this is where you upload your PMML 3.2 model. You can browse for your model file and once you locate it, click on "Upload".
In the example below, the model named "Audit_NN" was uploaded successfully into ADAPA. This model can be found among the PMML examples supplied in the Zementis website.
You then need to click on the model tab, which in this case is "Audit_NN" to be able to upload a data file for verification or scoring. Note that the tab will contain the model description together with a link to a file containing possible warnings that were generated by ADAPA during model uploading.
Note that the ADAPA Predictive Analytics demo will only accept files for uploading up to 1MB.
You can now browse for the data validation file, in this case "Audit_NN.csv" which contains 2000 records with inputs as well as the expected output value for the "Audit_NN" model. This file is also available in the PMML examples page of the Zementis website.
Once the data file is uploaded and results are generated, the ADAPA Predictive Analytics demo will display the first five records as shown below.
Note that in this case, there is a perfect match between computed and expected values for the predicted field. If, for any reason, the results do not match, the first five mismatched records will be displayed instead. All values under the "Computed Value" column are hyperlinks. By clicking on one of these values, you will have access to debugging information which can be very useful in case you do get a mismatch.
Once you are able to validate that the model is working as expected, you can browse and upload a file for scoring.
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