ConversationAuthoringClient.GetTrainedModelsAsync 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] Lists the trained models belonging to a project.

This protocol method allows explicit creation of the request and processing of the response for advanced scenarios.

public virtual Azure.AsyncPageable<BinaryData> GetTrainedModelsAsync (string projectName, Azure.RequestContext context = default);

abstract member GetTrainedModelsAsync : string * Azure.RequestContext -> Azure.AsyncPageable<BinaryData>
override this.GetTrainedModelsAsync : string * Azure.RequestContext -> Azure.AsyncPageable<BinaryData>

Public Overridable Function GetTrainedModelsAsync (projectName As String, Optional context As RequestContext = Nothing) As AsyncPageable(Of BinaryData)

Parameters

projectName: String

The name of the project to use.

context: RequestContext

The request context, which can override default behaviors of the client pipeline on a per-call basis.

Returns

AsyncPageable<BinaryData>

The AsyncPageable<T> from the service containing a list of BinaryData objects. Details of the body schema for each item in the collection are in the Remarks section below.

Exceptions

ArgumentNullException

projectName is null.

ArgumentException

projectName 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 GetTrainedModelsAsync 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);

await foreach (var item in client.GetTrainedModelsAsync("<projectName>"))
{
    JsonElement result = JsonDocument.Parse(item.ToStream()).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/list-trained-models

Applies to

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