Label | Explanation | Data Type |
Input Table | The input point, line, or polygon feature class, or table, containing the text that will be classified and labelled. | Feature Layer; Table View |
Text Field | A text field in the input feature class or table that contains the text that will be classified. | Field |
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). | File |
Class Label Field (Optional) | The name of the field that will contain the class or category label assigned by the model. The default field name is ClassLabel. | String |
Model Arguments (Optional) | 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. Note:The model argument confidence_threshold is only applicable for multilabel text classification. | Value Table |
Get explanation for every prediction
(Optional) | Specifies whether SHAP explanations will be generated. The time to generate an explanation will depend on the length of the input.
| Boolean |
Batch Size
(Optional) | 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. | Double |
Derived Output
Label | Explanation | Data Type |
Updated Table | 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 |