Google Cloud Automl API client library
Project description
🔔 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 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-automlWindows
pip install virtualenv
virtualenv <your-env>
<your-env>\Scripts\activate
<your-env>\Scripts\pip.exe install google-cloud-automlNext Steps
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.
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