Viewing Machine Learning insights
When you want to use Machine Learning (ML) capabilities in HCL OneTest™ Server, you need to run Performance Tests or Schedules that conform to certain criteria. After the test run is completed, you can view the ML insights on the Insights page in your project.
Before you begin
- Ensured that you are assigned a role as a Viewer, Tester, or Project Owner in the project.
- Ran the Performance Test or Schedule that matches the minimum requirements for ML analysis in HCL OneTest™ Server. See Configuring a run of a Compound Test that contains performance tests or Configuring a run of a Rate Schedule or VU Schedule.
About this task
If the Performance Tests or Schedules match the requirements and criteria for ML analysis, HCL OneTest™ Server analyzes the test results after the run for the relevant parameter and presents its findings as insights into the parameter.
Procedure
-
Log in to HCL OneTest™ Server.
The team space that contains your project is displayed.
-
Click
to open the project that contains the test assets.
The Overview page of the project is displayed.
- Perform any of the following actions to view the insights:
-
Perform the following steps to view a specific insight from the
Overview page:
The Insights section on the Overview page displays a table of the insights for the supported parameters identified from the tests that were run in the project. The table lists the level of confidence with which the analysis of the specific parameter was done, the parameter analyzed, the name of the test asset, and the timestamp of the completed analysis.
-
Perform the following steps to view a specific insight from the
Insights page:
-
Perform the following steps when the details of the insight are
displayed.
Results
You viewed the details of the insights into the parameters that are analyzed by HCL OneTest™ Server.
What to do next
- Understand how to interpret the insights. See Interpretation of insights.
- Delete an insight. See Deleting Machine Learning insights.
- Rerun the analysis so that the deleted instance of the insight is redisplayed. See Rerunning Machine Learning (ML) analysis.