AnomalyDetectorClient.GetMultivariateModelsAsync Method
Definition
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Overloads
| GetMultivariateModelsAsync(Nullable<Int32>, Nullable<Int32>, RequestContext) |
[Protocol Method] List Multivariate Models
|
| GetMultivariateModelsAsync(Nullable<Int32>, Nullable<Int32>, CancellationToken) |
List Multivariate Models. |
GetMultivariateModelsAsync(Nullable<Int32>, Nullable<Int32>, RequestContext)
- Source:
- AnomalyDetectorClient.cs
[Protocol Method] List Multivariate Models
- This protocol method allows explicit creation of the request and processing of the response for advanced scenarios.
- Please try the simpler GetMultivariateModelsAsync(Nullable<Int32>, Nullable<Int32>, CancellationToken) convenience overload with strongly typed models first.
public virtual Azure.AsyncPageable<BinaryData> GetMultivariateModelsAsync (int? skip, int? maxCount, Azure.RequestContext context);abstract member GetMultivariateModelsAsync : Nullable<int> * Nullable<int> * Azure.RequestContext -> Azure.AsyncPageable<BinaryData>
override this.GetMultivariateModelsAsync : Nullable<int> * Nullable<int> * Azure.RequestContext -> Azure.AsyncPageable<BinaryData>Public Overridable Function GetMultivariateModelsAsync (skip As Nullable(Of Integer), maxCount As Nullable(Of Integer), context As RequestContext) As AsyncPageable(Of BinaryData)Parameters
- context
- RequestContext
The request context, which can override default behaviors of the client pipeline on a per-call basis.
Returns
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
Service returned a non-success status code.
Examples
This sample shows how to call GetMultivariateModelsAsync with required parameters and parse the result.
var credential = new AzureKeyCredential("<key>");
var endpoint = new Uri("<https://my-service.azure.com>");
var client = new AnomalyDetectorClient(endpoint, credential);
await foreach (var item in client.GetMultivariateModelsAsync(1234, 1234, new RequestContext()))
{
JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
Console.WriteLine(result.GetProperty("modelId").ToString());
Console.WriteLine(result.GetProperty("createdTime").ToString());
Console.WriteLine(result.GetProperty("lastUpdatedTime").ToString());
Console.WriteLine(result.GetProperty("modelInfo").GetProperty("dataSource").ToString());
Console.WriteLine(result.GetProperty("modelInfo").GetProperty("dataSchema").ToString());
Console.WriteLine(result.GetProperty("modelInfo").GetProperty("startTime").ToString());
Console.WriteLine(result.GetProperty("modelInfo").GetProperty("endTime").ToString());
Console.WriteLine(result.GetProperty("modelInfo").GetProperty("displayName").ToString());
Console.WriteLine(result.GetProperty("modelInfo").GetProperty("slidingWindow").ToString());
Console.WriteLine(result.GetProperty("modelInfo").GetProperty("alignPolicy").GetProperty("alignMode").ToString());
Console.WriteLine(result.GetProperty("modelInfo").GetProperty("alignPolicy").GetProperty("fillNAMethod").ToString());
Console.WriteLine(result.GetProperty("modelInfo").GetProperty("alignPolicy").GetProperty("paddingValue").ToString());
Console.WriteLine(result.GetProperty("modelInfo").GetProperty("status").ToString());
Console.WriteLine(result.GetProperty("modelInfo").GetProperty("errors")[0].GetProperty("code").ToString());
Console.WriteLine(result.GetProperty("modelInfo").GetProperty("errors")[0].GetProperty("message").ToString());
Console.WriteLine(result.GetProperty("modelInfo").GetProperty("diagnosticsInfo").GetProperty("modelState").GetProperty("epochIds")[0].ToString());
Console.WriteLine(result.GetProperty("modelInfo").GetProperty("diagnosticsInfo").GetProperty("modelState").GetProperty("trainLosses")[0].ToString());
Console.WriteLine(result.GetProperty("modelInfo").GetProperty("diagnosticsInfo").GetProperty("modelState").GetProperty("validationLosses")[0].ToString());
Console.WriteLine(result.GetProperty("modelInfo").GetProperty("diagnosticsInfo").GetProperty("modelState").GetProperty("latenciesInSeconds")[0].ToString());
Console.WriteLine(result.GetProperty("modelInfo").GetProperty("diagnosticsInfo").GetProperty("variableStates")[0].GetProperty("variable").ToString());
Console.WriteLine(result.GetProperty("modelInfo").GetProperty("diagnosticsInfo").GetProperty("variableStates")[0].GetProperty("filledNARatio").ToString());
Console.WriteLine(result.GetProperty("modelInfo").GetProperty("diagnosticsInfo").GetProperty("variableStates")[0].GetProperty("effectiveCount").ToString());
Console.WriteLine(result.GetProperty("modelInfo").GetProperty("diagnosticsInfo").GetProperty("variableStates")[0].GetProperty("firstTimestamp").ToString());
Console.WriteLine(result.GetProperty("modelInfo").GetProperty("diagnosticsInfo").GetProperty("variableStates")[0].GetProperty("lastTimestamp").ToString());
}
Remarks
List models of a resource.
Below is the JSON schema for one item in the pageable response.
Response Body:
Schema for Array:
{
modelId: string, # Required.
createdTime: string (date & time), # Required.
lastUpdatedTime: string (date & time), # Required.
modelInfo: {
dataSource: string, # Required.
dataSchema: "OneTable" | "MultiTable", # Optional.
startTime: string (date & time), # Required.
endTime: string (date & time), # Required.
displayName: string, # Optional.
slidingWindow: number, # Optional.
alignPolicy: {
alignMode: "Inner" | "Outer", # Optional.
fillNAMethod: "Previous" | "Subsequent" | "Linear" | "Zero" | "Fixed", # Optional.
paddingValue: number, # Optional.
}, # Optional.
status: "CREATED" | "RUNNING" | "READY" | "FAILED", # Optional.
errors: [ErrorResponse], # Optional.
diagnosticsInfo: {
modelState: {
epochIds: [number], # Optional.
trainLosses: [number], # Optional.
validationLosses: [number], # Optional.
latenciesInSeconds: [number], # Optional.
}, # Optional.
variableStates: [VariableState], # Optional.
}, # Optional.
}, # Optional.
}
Applies to
GetMultivariateModelsAsync(Nullable<Int32>, Nullable<Int32>, CancellationToken)
- Source:
- AnomalyDetectorClient.cs
List Multivariate Models.
public virtual Azure.AsyncPageable<Azure.AI.AnomalyDetector.AnomalyDetectionModel> GetMultivariateModelsAsync (int? skip = default, int? maxCount = default, System.Threading.CancellationToken cancellationToken = default);abstract member GetMultivariateModelsAsync : Nullable<int> * Nullable<int> * System.Threading.CancellationToken -> Azure.AsyncPageable<Azure.AI.AnomalyDetector.AnomalyDetectionModel>
override this.GetMultivariateModelsAsync : Nullable<int> * Nullable<int> * System.Threading.CancellationToken -> Azure.AsyncPageable<Azure.AI.AnomalyDetector.AnomalyDetectionModel>Public Overridable Function GetMultivariateModelsAsync (Optional skip As Nullable(Of Integer) = Nothing, Optional maxCount As Nullable(Of Integer) = Nothing, Optional cancellationToken As CancellationToken = Nothing) As AsyncPageable(Of AnomalyDetectionModel)Parameters
- cancellationToken
- CancellationToken
The cancellation token to use.
Returns
Examples
This sample shows how to call GetMultivariateModelsAsync with required parameters.
var credential = new AzureKeyCredential("<key>");
var endpoint = new Uri("<https://my-service.azure.com>");
var client = new AnomalyDetectorClient(endpoint, credential);
await foreach (var item in client.GetMultivariateModelsAsync(1234, 1234))
{
}
Remarks
List models of a resource.
Applies to
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