The Anomaly Detection API can help identify anomalous data points in time series data (more details here). This repository contains an ARM template that will deploy the API to your Azure subscription as an Azure Machine Learning Web Service.

1. Click the "Deploy to Azure" button above
2. You will be required to choose a resource group name and a region where the API resources will be deployed. You will also be able to choose a billing plan for the AzureML web services that will be deployed. Note that you are only allowed one DevTest plan per Azure subscription. If you already have a DevTest plan, you must choose a higher tier.
3. Once the deployment completes, you will be able to find the Resource Group in the Azure Portal. The names of the resources will be based on the resource group name provided in step 2.
4. You can manage the web services from the Azure ML Web Services page. From here you can test the endpoints, find the API keys, read documentation, etc. Detailed instructions are availabe here

This template will deploy a free Dev/Test billing plan which includes 1,000 transactions/month and 2 compute hours/month. You can upgrade to another plan as per your needs. Details on the pricing of different plans are available here under "Production Web API pricing".

You can manage your billing plan here. The plan name will be based on the resource group name you chose when deploying the API, plus a string that is unique to your subscription. Instructions on how to upgrade your plan are available here under the "Managing billing plans" section.

If you have any further issues or questions, please email us.