Invoke the web service with the provided input and to receive
predictions from the deployed model. The structure of the
provided input data needs to match what the service's scoring
script and model expect. See the "Details" section of
inference_config().
invoke_webservice(webservice, input_data)
| webservice | The |
|---|---|
| input_data | The input data to invoke the web service with. This is the data your model expects as an input to run predictions. |
A named list of the result of calling the web service. This will return the predictions run from your model.
Instead of invoking the web service using invoke_webservice(), you can
also consume the web service using the service's REST API. If you've
enabled key-based authentication for your service, you will need to provide
a service key as a token in your request header
(see get_webservice_keys()). If you've enabled token-based
authentication, you will need to provide an JWT token as a bearer
token in your request header (see get_webservice_token()).
To get the REST API address for the service's scoring endpoint, you can
access the following property from the Webservice object:
service$scoring_uri