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packages/google-cloud-automl/README.md

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Cloud AutoML API: Nodejs Client

This library is considered to be stable. The code surface will not change in backwards-incompatible ways unless absolutely necessary (e.g. because of critical security issues) or with an extensive deprecation period. Issues and requests against stable libraries are addressed with the highest priority

Cloud AutoML API client for Node.js

šŸ”” AutoML API NodeJS Client is now available in Vertex AI. Please visit node-js-aiplatform for the new NodeJS 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.

Cloud AutoML API client for Node.js

A comprehensive list of changes in each version may be found in the CHANGELOG.

Read more about the client libraries for Cloud APIs, including the older Google APIs Client Libraries, in Client Libraries Explained.

Table of contents:

Quickstart

Before you begin

  1. Select or create a Cloud Platform project.
  2. Enable billing for your project.
  3. Enable the Cloud AutoML API API.
  4. Set up authentication so you can access the API from your local workstation.

Installing the client library

bash
npm install @google-cloud/automl

Samples

Samples are in the samples/ directory. Each sample's README.md has instructions for running its sample.

SampleSource Code
create datasetsource code
create modelsource code
delete datasetsource code
delete modelsource code
deploy modelsource code
export datasource code
export modelsource code
get annotation specsource code
get datasetsource code
get modelsource code
get model evaluationsource code
import datasource code
list datasetssource code
list model evaluationssource code
list modelssource code
undeploy modelsource code
update datasetsource code
update modelsource code
batch predictsource code
predictsource code
cloudsource code
create datasetsource code
create modelsource code
delete datasetsource code
delete modelsource code
deploy modelsource code
export datasource code
export evaluated examplessource code
export modelsource code
get annotation specsource code
get column specsource code
get datasetsource code
get modelsource code
get model evaluationsource code
get table specsource code
import datasource code
list column specssource code
list datasetssource code
list model evaluationssource code
list modelssource code
list table specssource code
undeploy modelsource code
update column specsource code
update datasetsource code
update table specsource code
batch predictsource code
predictsource code
cloudsource code

Supported Node.js Versions

Our client libraries follow the Node.js release schedule. Libraries are compatible with all current active and maintenance versions of Node.js. If you are using an end-of-life version of Node.js, we recommend that you update as soon as possible to an actively supported LTS version.

Google's client libraries support legacy versions of Node.js runtimes on a best-efforts basis with the following warnings:

  • Legacy versions are not tested in continuous integration.
  • Some security patches and features cannot be backported.
  • Dependencies cannot be kept up-to-date.

Client libraries targeting some end-of-life versions of Node.js are available, and can be installed through npm dist-tags. The dist-tags follow the naming convention legacy-(version). For example, npm install @google-cloud/automl@legacy-8 installs client libraries for versions compatible with Node.js 8.

Versioning

This library follows Semantic Versioning.

More Information: Google Cloud Platform Launch Stages

Contributing

Contributions welcome! See the Contributing Guide.

Please note that this README.md and a variety of configuration files in this repository (including .nycrc and tsconfig.json) are generated from a central template.

License

Apache Version 2.0

See LICENSE