Skip to main content

Google Cloud Automl API client library

Project description

ga pypi versions

🔔 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:

  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 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 >= 3.7

Unsupported Python Versions

Python <= 3.6.

The last version of this library compatible with Python 2.7 is google-cloud-automl==1.0.1. The last version of this library compatible with Python 3.6 is google-cloud-automl==2.7.3.

Mac/Linux

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

Windows

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

Next Steps

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

google-cloud-automl-2.11.3.tar.gz (325.2 kB view details)

Uploaded Source

Built Distribution

google_cloud_automl-2.11.3-py2.py3-none-any.whl (328.8 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file google-cloud-automl-2.11.3.tar.gz.

File metadata

  • Download URL: google-cloud-automl-2.11.3.tar.gz
  • Upload date:
  • Size: 325.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for google-cloud-automl-2.11.3.tar.gz
Algorithm Hash digest
SHA256 55ca909fbc36b13a431ca7e78b0930b045c36bc60857e1b58e56cf3aef0d565d
MD5 6844d2278f25e2c4f4418beabfae4a4a
BLAKE2b-256 e32a8fbff95f819d2b83c1c0cec2b2d43cf0e7778cfefc7bed97c5e5a44db9b4

See more details on using hashes here.

Provenance

File details

Details for the file google_cloud_automl-2.11.3-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for google_cloud_automl-2.11.3-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 9f92c4ca4b0e0f6f31fb0676a6a9e6afd5685fd484bdc9c67beba052bbab2352
MD5 9965f5a241304b26d8f696254ed0eb24
BLAKE2b-256 204b209801f4c4ac028dc9d971cbdde4908a3d96682f56b753e87630e3601ad4

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page