forecast
method 2. Use future exogenous variables:
include these variables in the DataFrame you pass to the forecast
method and provide the future values of these exogenous features over
the forecast horizon using the X_df
parameter.
👍 Use an Azure AI endpoint To use an Azure AI endpoint, set thebase_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, setFor more details on using exogenous features with TimeGPT, read our in-depth tutorials on Exogenous variables and on Categorical variables.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
.