ConversationAuthoringClient.GetTrainedModelAsync Method

Reference

Definition

Namespace:: Azure.AI.Language.Conversations.Authoring

Assembly:: Azure.AI.Language.Conversations.dll

Package:: Azure.AI.Language.Conversations v1.1.0

Package:: Azure.AI.Language.Conversations v2.0.0-beta.1

Source:: ConversationAuthoringClient.cs

Source:: ConversationAuthoringClient.cs

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] Gets the details of a 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> GetTrainedModelAsync (string projectName, string trainedModelLabel, Azure.RequestContext context = default);

abstract member GetTrainedModelAsync : string * string * Azure.RequestContext -> System.Threading.Tasks.Task<Azure.Response>
override this.GetTrainedModelAsync : string * string * Azure.RequestContext -> System.Threading.Tasks.Task<Azure.Response>

Public Overridable Function GetTrainedModelAsync (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

Task<Response>

The response returned from the service.

Exceptions

ArgumentNullException

projectName or trainedModelLabel is null.

ArgumentException

projectName or trainedModelLabel is an empty string, and was expected to be non-empty.

RequestFailedException

Service returned a non-success status code.

Examples

This sample shows how to call GetTrainedModelAsync with required parameters and parse the result.

var credential = new AzureKeyCredential("<key>");
var endpoint = new Uri("<https://my-service.azure.com>");
var client = new ConversationAuthoringClient(endpoint, credential);

Response response = await client.GetTrainedModelAsync("<projectName>", "<trainedModelLabel>");

JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
Console.WriteLine(result.GetProperty("label").ToString());
Console.WriteLine(result.GetProperty("modelId").ToString());
Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
Console.WriteLine(result.GetProperty("lastTrainingDurationInSeconds").ToString());
Console.WriteLine(result.GetProperty("modelExpirationDate").ToString());
Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
Console.WriteLine(result.GetProperty("hasSnapshot").ToString());

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/get-trained-model

Applies to

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