Predict API

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:

Method
getSentiment POST
Copy POST

Predicts sentiment on a document

Arguments:

REQUIRED KEY TYPE DESCRIPTION
Yes deploymentToken str A token used to authenticate access to deployments created in this project. 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 A unique string identifier for a deployment created under this project.
Yes document str The document to be analyzed for sentiment.
Note: The arguments for the API methods follow camelCase but for Python SDK underscore_case is followed.

Response:

KEY TYPE DESCRIPTION
success Boolean true if the call succeeded, false if there was an error
dict[str, NlpSentimentPrediction]

Exceptions:

TYPE WHEN
DataNotFoundError

deploymentId is not found.

Language: