Managing complete text analytics models
Quickly and conveniently manage multiple models to accommodate them to ever-changing business requirements, through a wide range of the available types of actions requirements. You can test, update, or delete any completed categorization or text extraction model. You can also add a language to the model or save the model as a different rule instance.
- In the navigation pane of Prediction Studio, click Models.
- For the model that you want to manage, click the More icon, and
then select the action that you want to perform:
Choices Actions Test the performance of your model in real-time text analytics - Click Test.For more information, see Testing text analytics models.
Add a language to the model - Click Add language.
Improve model accuracy by adding feedback and training data, and editing the existing data - Click Update.For more information, see Updating training data for text analytics models.
Specify when you want the system to automatically retrain and deploy the model - Click Model settings.
- In the Prediction settings window, turn on the Auto update the model switch.
- In the Schedule list, select how you want to schedule
the automatic update.
You can retrain your model each time a specific number of feedback items has been collected or after a specified time interval. For more information, see the following Pega Community articles: Feedback loop for text analysis and Update text analytics models instantly through an API.
Save the model as a different instance of the Decision Data rule - Click Save as.
Switch between model versions - Click Manage versions.
- In the Manage versions window, click the version name, and then click Restore.
Export the model - Click Manage versions.
- In the Manage versions window, click
Export next to the model version that you want to
export.For more information, see Exporting text analytics models.
To import a text analytics model, see Importing text analytics models.
Delete a model language - Click Delete language.
Permanently remove obsolete models from Prediction Studio and Dev Studio - Click Delete.
For more information, see Clearing deleted models in Prediction Studio.
- Click Test.
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