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| **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*. | |