Depending on the Configuration of A2ML, authentication will be with the A2ML Cloud or directly to providers.

A2ML Cloud

Authenticating with A2ML Cloud will soon allow you to have one account which manages all provider credentials. All providers can then be run without individual configuration.

CLI Login

You can login to the A2ML Cloud with the a2ml auth login command.

$ a2ml auth login

You will be prompted for your A2ML service user and password.

Download Credentials

A2ML credentials can be downloaded as an auger.json file from your organization's<project_name>/settings.

$ export AUGER_CREDENTIALS=~/auger.json


This would be a JSON string of your credentials.

The auger.json file can also be referred to by:

  • An environment variable called AUGER_CREDENTIALS_PATH

  • An attribute path_to_credentials inside config.yaml

Individual Providers

A2ML Cloud can manage the usage of Google Cloud AutoML or Azure AutoML for you. If set up on your own you must configure the underlying AutoML service corrrectly to be accessed from the server you are running.

To connect directly to any or all providers configure each individually.

Azure Provider

CLI Login

The Azure AutoML service allows browser login. Run any a2ml command and a login URL will open in the default browser.

To explicitly login to azure run.

$ a2ml auth login -p azure


To login programmatically without the browser use the service principal credentials.


Follow the above directions to create an azure.json file with values specific to your account.

$ export AZURE_CREDENTIALS=~/azure.json


This would be a JSON string of your azure credentials.

The azure.json file can also be referred to by:

  • An environment variable called AZURE_CREDENTIALS_PATH - should contain a full path to the file

  • An attribute path_to_credentials inside config.yaml

Google Cloud Provider

If you haven't run Google Cloud AutoML, set up a service account and save the credentials to a JSON file which you store in your project directory. Then set up the GOOGLE_APPLICATION CREDENTIALS environment variable to point to the saved file. For example:

$ export GOOGLE_APPLICATION_CREDENTIALS="/Users/user/a2ml/automl.json"

For ease of use you can set up a default project ID to use with your project with the PROJECT_ID environment variable. For example:

$ export PROJECT_ID="automl-test-237311"

Detailed instructions for setting up Google Cloud AutoML.