Python Client for Cloud AutoML API¶
The Cloud AutoML API is a suite of machine learning products that enables developers with limited machine learning expertise to train high-quality models specific to their business needs, by leveraging Google’s state-of-the-art transfer learning, and Neural Architecture Search technology.
In order to use this library, you first need to go through the following steps:
Install this library in a virtualenv using pip. virtualenv is a tool to create isolated Python environments. The basic problem it addresses is one of dependencies and versions, and indirectly permissions.
With virtualenv, it’s possible to install this library without needing system install permissions, and without clashing with the installed system dependencies.
Supported Python Versions¶
Python >= 3.6
Unsupported Python Versions¶
Python == 2.7.
The last version of this library compatible with Python 2.7 is google-cloud-automl==1.0.1.
pip install virtualenv virtualenv <your-env> source <your-env>/bin/activate <your-env>/bin/pip install google-cloud-automl
pip install virtualenv virtualenv <your-env> <your-env>\Scripts\activate <your-env>\Scripts\pip.exe install google-cloud-automl
Read the Client Library Documentation for Cloud AutoML API API to see other available methods on the client.
Read the Product documentation to learn more about the product and see How-to Guides.
Because this client uses
grpcio library, it is safe to
share instances across threads. In multiprocessing scenarios, the best
practice is to create client instances after the invocation of
This package includes clients for multiple versions of the Cloud AutoML API.
By default, you will get
v1, the latest stable version.
v1 API Reference¶
Previous beta release v1beta1 is provided as well.
An API and type reference is provided for
v1beta1 API Reference¶
See the guide below for instructions on migrating to the 2.x release of this library.