Add date features
If your dataset lacks exogenous variables, add date features to inform
the model for historical anomaly detection. Use the date_features
argument. Set it to True
to extract all possible features, or pass a
list of specific features to include.
👍 Use an Azure AI endpoint
To use an Azure AI endpoint, set the
base_url
argument:
nixtla_client = NixtlaClient(base_url="you azure ai endpoint", api_key="your api_key")
📘 Available models in Azure AI
If you use an Azure AI endpoint, set
model="azureai"
nixtla_client.detect_anomalies(..., model="azureai")
For the public API, two models are supported:
timegpt-1
andtimegpt-1-long-horizon
.By default,
timegpt-1
is used. See this tutorial for details on usingtimegpt-1-long-horizon
.
For more details, check out our in-depth tutorial on anomaly detection.
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