ConversationAuthoringClient.DeleteTrainedModelAsync Method
Definition
Important
Some information relates to prerelease product that may be substantially modified before it’s released. Microsoft makes no warranties, express or implied, with respect to the information provided here.
[Protocol Method] Deletes an existing trained model.
- This protocol method allows explicit creation of the request and processing of the response for advanced scenarios.
public virtual System.Threading.Tasks.Task<Azure.Response> DeleteTrainedModelAsync (string projectName, string trainedModelLabel, Azure.RequestContext context = default);abstract member DeleteTrainedModelAsync : string * string * Azure.RequestContext -> System.Threading.Tasks.Task<Azure.Response>
override this.DeleteTrainedModelAsync : string * string * Azure.RequestContext -> System.Threading.Tasks.Task<Azure.Response>Public Overridable Function DeleteTrainedModelAsync (projectName As String, trainedModelLabel As String, Optional context As RequestContext = Nothing) As Task(Of Response)Parameters
- projectName
- String
The name of the project to use.
- trainedModelLabel
- String
The trained model label.
- context
- RequestContext
The request context, which can override default behaviors of the client pipeline on a per-call basis.
Returns
The response returned from the service.
Exceptions
projectName or trainedModelLabel is null.
projectName or trainedModelLabel is an empty string, and was expected to be non-empty.
Service returned a non-success status code.
Examples
This sample shows how to call DeleteTrainedModelAsync with required parameters.
var credential = new AzureKeyCredential("<key>");
var endpoint = new Uri("<https://my-service.azure.com>");
var client = new ConversationAuthoringClient(endpoint, credential);
Response response = await client.DeleteTrainedModelAsync("<projectName>", "<trainedModelLabel>");
Console.WriteLine(response.Status);
Remarks
Additional information can be found in the service REST API documentation: https://learn.microsoft.com/rest/api/language/2023-04-01/conversational-analysis-authoring/delete-trained-model
