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The Anomaly Detector API detects anomalies automatically in time series data. It supports two kinds of mode, one is for stateless using, another is for stateful using. In stateless mode, there are three functionalities. Entire Detect is for detecting the whole series with model trained by the time s

SDKs by language (9 total)

Python (1) TypeScript (1) JavaScript (1) Go (1) Java (1) C# (2) C++ (1) Jupyter Notebook (1)

azure-sdk-for-python ✓ Official

pip install azure-sdk-for-python Copy

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azure-sdk-for-js ✓ Official

npm install azure-sdk-for-js Copy

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azure-sdk-for-node ✓ Official

npm install azure-sdk-for-node Copy

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azure-sdk-for-go ✓ Official

go get github.com/Azure/azure-sdk-for-go Copy

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azure-sdk-for-java ✓ Official

# Maven: see https://github.com/Azure/azure-sdk-for-java Copy

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cognitive-services-speech-sdk ✓ Official

dotnet add package cognitive-services-speech-sdk Copy

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azure-sdk-for-net ✓ Official

dotnet add package azure-sdk-for-net Copy

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Azure-Kinect-Sensor-SDK

# See https://github.com/microsoft/Azure-Kinect-Sensor-SDK Copy

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MachineLearningNotebooks ✓ Official

# See https://github.com/Azure/MachineLearningNotebooks Copy

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curl \
  -H "Ocp-Apim-Subscription-Key: $API_KEY" \
  /timeseries/last/detect

curl \
  -H "Ocp-Apim-Subscription-Key: $API_KEY" \
  /timeseries/entire/detect