The input point, line, or polygon feature class, or table, containing the text that will be classified and labelled.
|Feature Layer; Table View|
A text field in the input feature class or table that contains the text that will be classified.
Input Model Definition File
The trained model that will be used for classification. The model definition file can be an Esri model definition JSON file (.emd) or a deep learning model package (.dlpk) that is stored locally or hosted on ArcGIS Living Atlas (.dlpk_remote).
Class Label Field
The name of the field that will contain the class or category label assigned by the model. The default field name is ClassLabel.
Additional arguments, such as sequence_length or confidence_threshold, that will be used to adjust the model's output.
The names of the arguments will be populated by the tool.
The model argument confidence_threshold is only applicable for multilabel text classification.
Get explanation for every prediction
Specifies whether SHAP explanations will be generated. The time to generate an explanation will depend on the length of the input.
The number of training samples that will be processed at one time. The default value is 4.
Increasing the batch size can improve tool performance; however, as the batch size increases, more memory is used. If an out of memory error occurs, use a smaller batch size.
The output point, line, or polygon feature class, or table, containing the classified and labelled text derived from the input data along with the confidence value for each class.
|Table View; Feature Layer|