1. Visualizing Data and Building Reports in Oracle Analytics Cloud
  2. Visualize Data
  3. Use Oracle Analytics Predictive Models and Oracle Machine Learning Models
  4. Use OCI Data Science Models in Oracle Analytics
  5. Apply an OCI Data Science Model to a Dataset

Apply an OCI Data Science Model to a Dataset

Apply an OCI Data Science model to a dataset in Oracle Analytics to analyze your data and store the results in another dataset. For example, with healthcare data, a predictive model can help you identify risk factors and predict the risk of patient readmission after discharge.

Prerequisites:
  1. On the Oracle Analytics Home page, click Create, and then click Data Flow.
  2. Select the dataset that you want to analyze, then click Add.
  3. In the Data Flow editor, click Add a step (+).
  4. From the Data Flow Steps pane, double-click Apply Model to display the Select Model dialog.
  5. Select a model, then click OK.
  6. In the Apply Model dialog, configure the settings under Outputs and Inputs.
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  7. In the data flow editor, click Add a step (+) and select Save Data.
  8. Enter the name of the dataset in which to store the output results.
    For example, you might call the dataset 'Employee Attrition Results'.
  9. In the Save data to field, specify the location for saving the output data.
  10. Click Save, enter a name and description for the data flow, and click OK to save the data flow.
  11. Click Run Data Flow to apply the Data Science model and save the results in the output dataset for further analysis.
  12. When the data flow run completes, click Navigator, click Data, and then open the generated dataset from the Datasets page.

You can now visualize the data in a workbook.
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