google-cloud-aiplatform 0.7.1

Cloud AI Platform API client library

Experimental

This is an Experimental release. Experiments are focused on validating a prototype. They are not guaranteed to be released and might be subject to backward-incompatible changes. They are not intended for production use or covered by any SLA, support obligation, or deprecation policy. They are covered by the Pre-GA Offerings Terms of the Google Cloud Platform Terms of Services.

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Cloud AI Platform: Google Cloud AI Platform is an integrated suite of machine learning tools and services for building and using ML models with AutoML or custom code. It offers both novices and experts the best workbench for the entire machine learning development lifecycle.

• 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 AI Platform 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.

Mac/Linux

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

Windows

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

Next Steps

• Read the Client Library Documentation for Cloud AI Platform API to see other available methods on the client.

• Read the Cloud AI Platform API 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.