Machine Learning Classifier

Machine Learning Classifier uses a machine learning model deployed as an ML Skill in AI Center to perform document classification tasks.

How to Configure at Design-Time

Perform the following steps to use the Machine Learning Classifier:

Create a classifier model on AI Center.
Note: Use the DocumentClassifier package available under Out-of-Box Document Understanding packages on AI Center. The data required for model training is collected through Machine Learning Classifier Trainer.
Use the Taxonomy Manager Wizard to define your document type, with the fields you are targeting for data extraction.
Drag and drop the Machine Learning Classifier activity in the Classify Document Scope activity. Review the message and click OK.
In the Machine Learning Classifier wizard that automatically opens, provide the ML Skill and the ApiKey information.

Note: Machine Learning Classifier only works with Machine Learning Classifier Skills. Using any other Skills (receipts, invoices, etc.) with it, will result in an error.
Select the checkbox for the Update activity arguments if you wish to also use the entered values as input arguments for the activity, more precisely for the ML Skill.
Click the Get Capabilities button. The wizard closes after this operation.
Select the Configure Extractors option of the Data Extraction Scope. A wizard is displayed.
Match Document Type names used in Taxonomy to classification classes used by the ML Skill. The latter can be obtained very easily by using Get Capabilities either configuring it when you first dropped the activity or clicking on the gear icon and then simply selecting the class names from the drop-down. Selecting one of the options from a drop-down list automatically confirms that field.
Select the Save button once all fields are configured properly.
Important: You cannot choose the same option for two distinct fields.