SAP Predictive Analytics can be deployed in the following configurations:
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If in the PAi Fiori application, a predictive model is shown in status error, more information
about the cause may be found in the associated application log. If the PAi configuration is incorrect, which following messages may appear in the application log:
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Once the PAi application is installed correctly, the most common expected error to be encountered is that the system does not have succulent rows of data to successfully build a predictive model. For the PAi
application to work correctly, you need a minimum number of rows of data to train your predictive model. The number of required rows will vary from scenario to scenario and is dependent on the model type and the data.
There are two main ways to handle this issue:
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Operation of Automated Analytic:
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The different types of variables: continuous, ordinal and nominal are next encoded by the data encoding feature of Modeler, or by the Event Logging and Sequence Coding features in the case of dynamic dat
a. Before generating the model, you must:
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