name : classify-document.rst **To classify document with model-specific endpoint** The following ``classify-document`` example classifies a document with an endpoint of a custom model. The model in this example was trained on a dataset containing sms messages labeled as spam or non-spam, or, "ham". :: aws comprehend classify-document \ --endpoint-arn arn:aws:comprehend:us-west-2:111122223333:document-classifier-endpoint/example-classifier-endpoint \ --text "CONGRATULATIONS! TXT 1235550100 to win $5000" Output:: { "Classes": [ { "Name": "spam", "Score": 0.9998599290847778 }, { "Name": "ham", "Score": 0.00014001205272506922 } ] } For more information, see `Custom Classification <https://docs.aws.amazon.com/comprehend/latest/dg/how-document-classification.html>`__ in the *Amazon Comprehend Developer Guide*.