THIS REPOSITORY IS DEPRECATED. ALL OF ITS CONTENT AND HISTORY HAS BEEN MOVED TO GOOGLE-CLOUD-NODE
Google Cloud Vertex AI 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.
A comprehensive list of changes in each version may be found in the CHANGELOG.
- Vertex AI Node.js Client API Reference
- Vertex AI Documentation
- github.com/googleapis/nodejs-ai-platform
Read more about the client libraries for Cloud APIs, including the older Google APIs Client Libraries, in Client Libraries Explained.
Table of contents:
- Select or create a Cloud Platform project.
- Enable billing for your project.
- Enable the Vertex AI API.
- Set up authentication with a service account so you can access the API from your local workstation.
npm install @google-cloud/aiplatform
/**
* TODO(developer): Uncomment these variables before running the sample.
*/
// const projectId = 'YOUR_PROJECT_ID';
// const location = 'YOUR_PROJECT_LOCATION';
const {EndpointServiceClient} = require('@google-cloud/aiplatform');
// Specifies the location of the api endpoint
const clientOptions = {
apiEndpoint: 'us-central1-aiplatform.googleapis.com',
};
const client = new EndpointServiceClient(clientOptions);
async function listEndpoints() {
// Configure the parent resource
const parent = `projects/${projectId}/locations/${location}`;
const request = {
parent,
};
// Get and print out a list of all the endpoints for this resource
const [result] = await client.listEndpoints(request);
for (const endpoint of result) {
console.log(`
Endpoint name: ${endpoint.name}`);
console.log(`Display name: ${endpoint.displayName}`);
if (endpoint.deployedModels[0]) {
console.log(
`First deployed model: ${endpoint.deployedModels[0].model}`
);
}
}
}
listEndpoints();
Samples are in the samples/
directory. Each sample's README.md
has instructions for running its sample.
Sample | Source Code | Try it |
---|---|---|
Quickstart | source code |
The Vertex AI Node.js Client API Reference documentation also contains samples.
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/aiplatform@legacy-8
installs client libraries
for versions compatible with Node.js 8.
This library follows Semantic Versioning.
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.
More Information: Google Cloud Platform Launch Stages
Contributions welcome! See the Contributing Guide.
Please note that this README.md
, the samples/README.md
,
and a variety of configuration files in this repository (including .nycrc
and tsconfig.json
)
are generated from a central template. To edit one of these files, make an edit
to its templates in
directory.
Apache Version 2.0
See LICENSE