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
getSearchResultsPOST
CopyPOST
Return the most relevant search results to the search query from the uploaded documents.
Arguments:
REQUIRED
KEY
TYPE
DESCRIPTION
Yes
deploymentToken
str
A token used to authenticate access to created deployments. This token is only authorized to predict on deployments in this project, so it can be securely embedded in an application or website.
Yes
deploymentId
str
A unique identifier of a deployment created under the project.
Yes
queryData
dict
A dictionary where the key is "Content" and the value is the text from which entities are to be extracted.
No
num
int
Number of search results to return.
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