Python Client for Cloud AutoML¶
Cloud AutoML: AutoML API Python Client is now available in Vertex AI. Please visit Vertex SDK for Python for the new Python Vertex AI client. Vertex AI is our next generation AI Platform, with many new features that are unavailable in the current platform. Migrate your resources to Vertex AI to get the latest machine learning features, simplify end-to-end journeys, and productionize models with MLOps. 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.
Quick Start¶
In order to use this library, you first need to go through the following steps:
Installation¶
Install this library in a virtual environment using venv. venv is a tool that creates isolated Python environments. These isolated environments can have separate versions of Python packages, which allows you to isolate one project’s dependencies from the dependencies of other projects.
With venv, it’s possible to install this library without needing system install permissions, and without clashing with the installed system dependencies.
Code samples and snippets¶
Code samples and snippets live in the samples/ folder.
Supported Python Versions¶
Our client libraries are compatible with all current active and maintenance versions of Python.
Python >= 3.7
Unsupported Python Versions¶
Python <= 3.6
If you are using an end-of-life version of Python, we recommend that you update as soon as possible to an actively supported version.
Mac/Linux¶
python3 -m venv <your-env>
source <your-env>/bin/activate
pip install google-cloud-automl
Windows¶
py -m venv <your-env>
.\<your-env>\Scripts\activate
pip install google-cloud-automl
Next Steps¶
Read the Client Library Documentation for Cloud AutoML to see other available methods on the client.
Read the Cloud AutoML Product documentation to learn more about the product and see How-to Guides.
View this README to see the full list of Cloud APIs that we cover.
Note
Because this client uses grpc
library, it is safe to
share instances across threads. In multiprocessing scenarios, the best
practice is to create client instances after the invocation of
os.fork()
by multiprocessing.pool.Pool
or
multiprocessing.Process
.
This package includes clients for multiple versions of Cloud AutoML.
By default, you will get version automl_v1
.
API Reference¶
API Reference¶
Changelog¶
For a list of all google-cloud-automl
releases:
- Changelog
- 2.14.1 (2024-10-31)
- 2.14.0 (2024-10-24)
- 2.13.5 (2024-07-30)
- 2.13.4 (2024-07-08)
- 2.13.3 (2024-03-05)
- 2.13.2 (2024-02-22)
- 2.13.1 (2024-02-06)
- 2.13.0 (2024-02-01)
- 2.12.0 (2023-12-07)
- 2.11.4 (2023-11-15)
- 2.11.3 (2023-10-09)
- 2.11.2 (2023-07-04)
- 2.11.1 (2023-03-23)
- 2.11.0 (2023-02-28)
- 2.10.1 (2023-01-20)
- 2.10.0 (2023-01-10)
- 2.9.0 (2022-12-15)
- 2.8.3 (2022-10-07)
- 2.8.2 (2022-10-03)
- 2.8.1 (2022-08-11)
- 2.8.0 (2022-07-19)
- 2.7.3 (2022-06-07)
- 2.7.2 (2022-03-06)
- 2.7.1 (2022-02-26)
- 2.7.0 (2022-02-11)
- 2.6.0 (2022-01-15)
- 2.5.2 (2021-11-01)
- 2.5.1 (2021-10-20)
- 2.5.0 (2021-10-08)
- 2.4.2 (2021-07-27)
- 2.4.1 (2021-07-21)
- 2.4.0 (2021-07-12)
- 2.3.0 (2021-04-14)
- 2.2.0 (2021-02-16)
- 2.1.0 (2020-10-27)
- 2.0.0 (2020-09-16)
- 1.0.1 (2020-06-18)
- 1.0.0 (2020-06-18)
- 0.10.0 (2020-01-31)
- 0.9.0
- 0.8.0
- 0.7.1
- 0.7.0
- 0.6.0
- 0.5.0
- 0.4.0
- 0.3.0
- 0.2.0
- 0.1.2
- 0.1.1
- 0.1.0