Data Labeling API client library
Data Labeling API: Public API for Google Cloud AI Data Labeling Service.
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 >= 3.5
Deprecated Python Versions
Python == 2.7. Python 2.7 support will be removed on January 1, 2020.
pip install virtualenv virtualenv <your-env> source <your-env>/bin/activate <your-env>/bin/pip install google-cloud-datalabeling
pip install virtualenv virtualenv <your-env> <your-env>\Scripts\activate <your-env>\Scripts\pip.exe install google-cloud-datalabeling
Read the Client Library Documentation for Data Labeling API API to see other available methods on the client.
Read the Data Labeling API Product documentation to learn more about the product and see How-to Guides.
View this repository’s main README to see the full list of Cloud APIs that we cover.
Release history Release notifications | RSS feed
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Hashes for google-cloud-datalabeling-0.2.1.tar.gz
Hashes for google_cloud_datalabeling-0.2.1-py2.py3-none-any.whl