AzureAI

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Deploying TimeGEN-1

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Using the model

Once your model is deployed and provided that you have the relevant permissions, consuming it will basically be the same process as for a Nixtla endpoint.

To run the examples below, you will need to define the following environment variables:

• AZURE_AI_NIXTLA_BASE_URL is your api URL, should be of the form https://your-endpoint.inference.ai.azure.com/.
• AZURE_AI_NIXTLA_API_KEY is your authentication key.

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How to use

Just import the library, set your credentials, and start forecasting in two lines of code!

pip install nixtla

import os
from nixtla import NixtlaClient

base_url = os.environ["AZURE_AI_NIXTLA_BASE_URL"]
api_key = os.environ["AZURE_AI_NIXTLA_API_KEY"]
model = "azureai"

nixtla_client = NixtlaClient(api_key=api_key, base_url=base_url)
nixtla_client.forecast(
    ...,
    model=model,
)