Document Understanding Activities
Last updated Jul 15, 2024

Machine Learning Classifier Trainer


Enables the collection of data that has been processed through Classification Station so that it can be imported into a user-specified AI Center dataset. This activity can be used only within the Train Classifiers Scope activity.


  • DisplayName - The display name of the activity.
Local Storage
  • Output Folder - The directory where the collected data is stored. Once the data is stored, it can be imported into machine learning training tools.
  • Private - If selected, the values of variables and arguments are no longer logged at Verbose level.
Provide Public Dataset Endpoint
  • Dataset ApiKey - The authentication key of the dataset.
  • Dataset Endpoint - The endpoint of the dataset where training data can be uploaded.
  • RetryOnFailure - Automatically retries the machine learning model execution, to eliminate transient network errors. If checked, the activity retries the execution. This field only supports Boolean values (True, False). The default value is True.
  • Timeout (milliseconds) - Specifies the amount of time (in milliseconds) to wait for a response from the server before an error is thrown. The default value is 100000 milliseconds (100 seconds).
Select Private Dataset for Project
  • Dataset - The AI Center dataset to which the collected data is stored. Mandatory.
  • Project - The AI Center project under which the storage dataset has been created. Mandatory.
    Note: Project and dataset selection are enabled only when connected to Orchestrator. More information about Public/Private Datasets can be found here.

Learn More

To learn more about Machine Learning Classifier Trainer, please visit the Document Understanding Guide here.

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