Microsoft.Azure.CognitiveServices.AnomalyDetector
0.8.0-preview
Prefix Reserved
See the version list below for details.
dotnet add package Microsoft.Azure.CognitiveServices.AnomalyDetector --version 0.8.0-preview
NuGet\Install-Package Microsoft.Azure.CognitiveServices.AnomalyDetector -Version 0.8.0-preview
<PackageReference Include="Microsoft.Azure.CognitiveServices.AnomalyDetector" Version="0.8.0-preview" />
paket add Microsoft.Azure.CognitiveServices.AnomalyDetector --version 0.8.0-preview
#r "nuget: Microsoft.Azure.CognitiveServices.AnomalyDetector, 0.8.0-preview"
// Install Microsoft.Azure.CognitiveServices.AnomalyDetector as a Cake Addin #addin nuget:?package=Microsoft.Azure.CognitiveServices.AnomalyDetector&version=0.8.0-preview&prerelease // Install Microsoft.Azure.CognitiveServices.AnomalyDetector as a Cake Tool #tool nuget:?package=Microsoft.Azure.CognitiveServices.AnomalyDetector&version=0.8.0-preview&prerelease
Package Description
Product | Versions Compatible and additional computed target framework versions. |
---|---|
.NET | net5.0 was computed. net5.0-windows was computed. net6.0 was computed. net6.0-android was computed. net6.0-ios was computed. net6.0-maccatalyst was computed. net6.0-macos was computed. net6.0-tvos was computed. net6.0-windows was computed. net7.0 was computed. net7.0-android was computed. net7.0-ios was computed. net7.0-maccatalyst was computed. net7.0-macos was computed. net7.0-tvos was computed. net7.0-windows was computed. net8.0 was computed. net8.0-android was computed. net8.0-browser was computed. net8.0-ios was computed. net8.0-maccatalyst was computed. net8.0-macos was computed. net8.0-tvos was computed. net8.0-windows was computed. |
.NET Core | netcoreapp1.0 was computed. netcoreapp1.1 was computed. netcoreapp2.0 was computed. netcoreapp2.1 was computed. netcoreapp2.2 was computed. netcoreapp3.0 was computed. netcoreapp3.1 was computed. |
.NET Standard | netstandard1.4 is compatible. netstandard1.5 was computed. netstandard1.6 was computed. netstandard2.0 is compatible. netstandard2.1 was computed. |
.NET Framework | net452 is compatible. net46 was computed. net461 is compatible. net462 was computed. net463 was computed. net47 was computed. net471 was computed. net472 was computed. net48 was computed. net481 was computed. |
MonoAndroid | monoandroid was computed. |
MonoMac | monomac was computed. |
MonoTouch | monotouch was computed. |
Tizen | tizen30 was computed. tizen40 was computed. tizen60 was computed. |
Universal Windows Platform | uap was computed. uap10.0 was computed. |
Xamarin.iOS | xamarinios was computed. |
Xamarin.Mac | xamarinmac was computed. |
Xamarin.TVOS | xamarintvos was computed. |
Xamarin.WatchOS | xamarinwatchos was computed. |
-
.NETFramework 4.5.2
- Microsoft.Rest.ClientRuntime (>= 2.3.19 && < 3.0.0)
- Microsoft.Rest.ClientRuntime.Azure (>= 3.3.19 && < 4.0.0)
- Newtonsoft.Json (>= 6.0.8)
- System.Net.Http (>= 4.3.0)
-
.NETFramework 4.6.1
- Microsoft.Rest.ClientRuntime (>= 2.3.19 && < 3.0.0)
- Microsoft.Rest.ClientRuntime.Azure (>= 3.3.19 && < 4.0.0)
- Newtonsoft.Json (>= 10.0.3)
-
.NETStandard 1.4
- Microsoft.Rest.ClientRuntime (>= 2.3.19 && < 3.0.0)
- Microsoft.Rest.ClientRuntime.Azure (>= 3.3.19 && < 4.0.0)
- NETStandard.Library (>= 1.6.1)
- Newtonsoft.Json (>= 10.0.3)
- System.Net.Http (>= 4.3.0)
-
.NETStandard 2.0
- Microsoft.Rest.ClientRuntime (>= 2.3.19 && < 3.0.0)
- Microsoft.Rest.ClientRuntime.Azure (>= 3.3.19 && < 4.0.0)
- Newtonsoft.Json (>= 10.0.3)
- System.Net.Http (>= 4.3.0)
NuGet packages
This package is not used by any NuGet packages.
GitHub repositories (1)
Showing the top 1 popular GitHub repositories that depend on Microsoft.Azure.CognitiveServices.AnomalyDetector:
Repository | Stars |
---|---|
Azure-Samples/cognitive-services-dotnet-sdk-samples
Learn how to use the Cognitive Services SDKs with these samples
|
Version | Downloads | Last updated |
---|---|---|
1.0.0 | 129,513 | 8/13/2020 |
1.0.0-preview.1 | 334 | 7/7/2020 |
0.8.0-preview | 11,073 | 3/16/2019 |
The Cognitive Service Anomaly Detector Client SDK helps users detect anomalies automatically in time series data. It supports two functionalities:
1) Detect anomalies for the entire series in batch. This operation generates a model using an entire series, each point is detected with the same model. With this method, points before and after a certain point are used to determine whether it is an anomaly. The entire detection can give the user an overall status of the time series.
2) Detect anomaly status of the latest point in time series. This operation generates a model using points before the latest one. With this method, only historical points are used to determine whether the target point is an anomaly. The latest point detecting operation matches the scenario of real-time monitoring of business metrics.