TheCloud AutoML API is a suite of machine learning products that enablesdevelopers with limited machine learning expertise to train high-quality modelsspecific to their business needs, by leveraging Google’s state-of-the-arttransfer learning, and Neural Architecture Search technology.

• Client Library Documentation

• Product Documentation

Quick Start

In order to use this library, you first need to go through the following steps:

1. Select or create a Cloud Platform project.

2. Enable billing for your project.

3. Enable the Cloud AutoML API.

4. Setup Authentication.

Installation

Install this library in avirtualenv using pip.virtualenv is a tool tocreate isolated Python environments. The basic problem it addresses is one ofdependencies and versions, and indirectly permissions.

Withvirtualenv, it’s possible to install this library without needing systeminstall permissions, and without clashing with the installed systemdependencies.

Supported Python Versions

Python >= 3.5

Deprecated Python Versions

Python == 2.7. Python 2.7 support will be removed on January 1, 2020.

Mac/Linux

pip install virtualenvvirtualenv <your-env>source <your-env>/bin/activate<your-env>/bin/pip install google-cloud-automl

Windows

pip install virtualenvvirtualenv <your-env><your-env>\Scripts\activate<your-env>\Scripts\pip.exe install google-cloud-automl

Example Usage

from google.cloud.automl_v1beta1 importPredictionServiceClientclient = PredictionServiceClient()model_path = client.model_path('my-project-123', 'us-central', 'model-name')payload = {...}params = {'foo': 1}response = client.predict(model_path, payload, params=params)

Next Steps

• Read theClient Library Documentation for Cloud AutoML APIAPI to see other available methods on the client.

• Read theProduct documentation to learnmore about the product and see How-to Guides.

Making & Testing Local Changes

If you want to make changes to this library, here is how to set up yourdevelopment environment:

1. Make sure you havevirtualenv installed and activated as shown above.

2. Run the following one-time setup (it will be persisted in your virtualenv):

pip install -r ../docs/requirements.txtpip install -U nox mock pytest

1. If you want to run all tests, you will need a billing-enabledGCP project, and aservice account with access to the AutoML APIs.Note: the first time the tests run in a new project it will take alongtime, on the order of 2-3 hours. This is one-time setup that will be skippedin future runs.

export PROJECT_ID=<project-id> GOOGLE_APPLICATION_CREDENTIALS=</path/to/creds.json>nox