Once your model is trained, you must deploy the model on Abacus.AI platform to generate predictions. You can use the prediction dashboard to generate the predictions from the trained model. In this section the underlying prediction API and all other additional prediction API methods are discussed for the use case in consideration:
Returns a list of scored labels for a document.
REQUIRED | KEY | TYPE | DESCRIPTION |
---|---|---|---|
Yes | deploymentToken | str | The deployment token to authenticate access to created deployments. This token is only authorized to predict on deployments in this project, so it is safe to embed this model inside of an application or website. |
Yes | deploymentId | str | The unique identifier to a deployment created under the project. |
Yes | queryData | dict | Dictionary where key is "Content" and value is the text from which entities are to be extracted. |
No | returnExtractedEntities | bool | (Optional) If True, will return the extracted entities in simpler format |
KEY | TYPE | DESCRIPTION |
---|---|---|
success | Boolean | true if the call succeeded, false if there was an error |
List[EntityRecognitionPrediction] |
TYPE | WHEN |
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DataNotFoundError |
|