Argument | Category | Description |
---|---|---|
InputTokenColumn | Required | Specifies the name of the input_table column that contains the tokens. |
ModelType | Optional | Specifies the model type of the text classifier. The default value is 'Multinomial'. |
DocIDColumn | Required | Specifies the names of the input_table columns that contain the document identifier. |
ModelTokenColumn | Optional | Specifies the name of the model_table column that contains the tokens. The default value is the first column of model_table. |
ModelCategoryColumn | Optional | Specifies the name of the model_table column that contains the prediction categories. The default value is the second column of model_table. |
ModelProbColumn | Optional | Specifies the name of the model_table column that contains the token counts. The default value is the third column of model_table. |
TopK | Optional | Specifies the number of most likely prediction categories to output with their loglikelihood values (for example, the top 10 most likely prediction categories). The default is all prediction categories. |
Specify either all or none of the arguments ModelTokenColumn, ModelCategoryColumn, and ModelProbColumn.