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 either 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). To use a .dlpk file that is trained using the Mistral backbone, it must be installed before using the model. To install the Mistral backbone, see ArcGIS Mistral Backbone The .dlpk file can also be a third-party language model. Caution:A third-party language model .dlpk file can potentially contain harmful code. Use these models only if you trust their source. | 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 that will be used by the model while performing inference. The supported model arguments include sequence_length and confidence_threshold, which will be used to adjust the model's output. The confidence_threshold model argument is only applicable to multilabel text classification. Note:When using a third party language model, the model arguments will be updated according to the parameters specified in the .dlpk file. To learn more about defining model arguments, see getParameterInfo section in Use third party language models with ArcGIS. | Value Table |
Get explanation for every prediction
(Optional) | Specifies whether SHAP explanations will be generated. The time it takes 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 |