Cloud AutoML: Node.js Client

Cloud AutoML API client for Node.js

• Cloud AutoML Node.js Client API Reference
• Cloud AutoML Documentation
• github.com/googleapis/nodejs-automl

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
  • Installing the client library
  • Using the client library
• Samples
• Versioning
• Contributing
• License

Quickstart

Before you begin

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

Installing the client library

npm install @google-cloud/automl

Using the client library

  const automl = require('@google-cloud/automl');
  const fs = require('fs');

  // Create client for prediction service.
  const client = new automl.PredictionServiceClient();

  /**
   * TODO(developer): Uncomment the following line before running the sample.
   */
  // const projectId = `The GCLOUD_PROJECT string, e.g. "my-gcloud-project"`;
  // const computeRegion = `region-name, e.g. "us-central1"`;
  // const modelId = `id of the model, e.g. “ICN723541179344731436”`;
  // const filePath = `local text file path of content to be classified, e.g. "./resources/flower.png"`;
  // const scoreThreshold = `value between 0.0 and 1.0, e.g. "0.5"`;

  // Get the full path of the model.
  const modelFullId = client.modelPath(projectId, computeRegion, modelId);

  // Read the file content for prediction.
  const content = fs.readFileSync(filePath, 'base64');

  const params = {};

  if (scoreThreshold) {
    params.score_threshold = scoreThreshold;
  }

  // Set the payload by giving the content and type of the file.
  const payload = {};
  payload.image = {imageBytes: content};

  // params is additional domain-specific parameters.
  // currently there is no additional parameters supported.
  const [response] = await client.predict({
    name: modelFullId,
    payload: payload,
    params: params,
  });
  console.log(`Prediction results:`);
  response.payload.forEach(result => {
    console.log(`Predicted class name: ${result.displayName}`);
    console.log(`Predicted class score: ${result.classification.score}`);
  });

Samples

Samples are in the samples/ directory. The samples' README.md has instructions for running the samples.

Sample	Source Code	Try it
Quickstart	source code

The Cloud AutoML Node.js Client API Reference documentation also contains samples.

Versioning

This library follows Semantic Versioning.

This library is considered to be General Availability (GA). This means it is 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 GA libraries are addressed with the highest priority.

More Information: Google Cloud Platform Launch Stages

Contributing

Contributions welcome! See the Contributing Guide.

License

Apache Version 2.0

See LICENSE