Release Notes > Version 9.2 Release Notes > Analytics Server 9.2.9 Release Notes
Analytics Server 9.2.9 Release Notes
The following sections describe the enhancements, bug fixes, and known issues in Analytics Server 9.2.9.
Enhancements
Enhancement Description
Reference #
No Enhancements were reported on the 9.2.x versions.
Bug Fixes
Bug Fix Description
Reference #
Analytics Manager: Integer field in dataset are published as NUMBER in Analytics Manager
When publishing a model based on a dataset with Integer fields, those fields appear as NUMBER in the datashape created in Analytics Manager. The datashape field for input and result are converted to Integer.
TA-8567
Known Issues
Known Issue Description
Reference #
Analytics Builder: Signal job results not cleared in Chrome browser
When a filter is applied to the Signals list page and results in no matching jobs, the list is not cleared properly in a Chrome browser and previous results are displayed. This issue will be resolved in a future release.
TA-4972
Analytics Manager: Empty analysis replay instance created
When an analysis replay is created and it does not include data for the specified time frame, an error is generated. However, an empty analysis replay instance is still created containing no records. The empty instance must be deleted before another replay can be created for the same time frame. This issue will be resolved in a future release.
TA-7619
Deprecation of Functionality
Confidence Model Scoring for Boolean and Categorical Goals
In ThingWorx Analytics Server 8.5, confidence models for Boolean and categorical goals could be created during training. When these confidence models are scored, the scoring output includes confidence interval information along with the prediction results. In a future release, the confidence interval information will no longer be returned as part of the scoring results for confidence models created in Analytics Server 8.5 with Boolean or categorical goals. In preparation for future upgrades, you should update any application code that is related to scoring these types of models. Ensure that your application code does not rely on the confidence interval results.
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