PredictionServiceClient

Example

  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Required. Name of the model requested to serve the batch prediction.
   */
  // const name = 'abc123'
  /**
   *  Required. The input configuration for batch prediction.
   */
  // const inputConfig = {}
  /**
   *  Required. The Configuration specifying where output predictions should
   *  be written.
   */
  // const outputConfig = {}
  /**
   *  Required. Additional domain-specific parameters for the predictions, any string must
   *  be up to 25000 characters long.
   *  *  For Text Classification:
   *     `score_threshold` - (float) A value from 0.0 to 1.0. When the model
   *          makes predictions for a text snippet, it will only produce results
   *          that have at least this confidence score. The default is 0.5.
   *  *  For Image Classification:
   *     `score_threshold` - (float) A value from 0.0 to 1.0. When the model
   *          makes predictions for an image, it will only produce results that
   *          have at least this confidence score. The default is 0.5.
   *  *  For Image Object Detection:
   *     `score_threshold` - (float) When Model detects objects on the image,
   *         it will only produce bounding boxes which have at least this
   *         confidence score. Value in 0 to 1 range, default is 0.5.
   *     `max_bounding_box_count` - (int64) No more than this number of bounding
   *         boxes will be produced per image. Default is 100, the
   *         requested value may be limited by server.
   *  *  For Video Classification :
   *     `score_threshold` - (float) A value from 0.0 to 1.0. When the model
   *         makes predictions for a video, it will only produce results that
   *         have at least this confidence score. The default is 0.5.
   *     `segment_classification` - (boolean) Set to true to request
   *         segment-level classification. AutoML Video Intelligence returns
   *         labels and their confidence scores for the entire segment of the
   *         video that user specified in the request configuration.
   *         The default is "true".
   *     `shot_classification` - (boolean) Set to true to request shot-level
   *         classification. AutoML Video Intelligence determines the boundaries
   *         for each camera shot in the entire segment of the video that user
   *         specified in the request configuration. AutoML Video Intelligence
   *         then returns labels and their confidence scores for each detected
   *         shot, along with the start and end time of the shot.
   *         WARNING: Model evaluation is not done for this classification type,
   *         the quality of it depends on training data, but there are no metrics
   *         provided to describe that quality. The default is "false".
   *     `1s_interval_classification` - (boolean) Set to true to request
   *         classification for a video at one-second intervals. AutoML Video
   *         Intelligence returns labels and their confidence scores for each
   *         second of the entire segment of the video that user specified in the
   *         request configuration.
   *         WARNING: Model evaluation is not done for this classification
   *         type, the quality of it depends on training data, but there are no
   *         metrics provided to describe that quality. The default is
   *         "false".
   *  *  For Tables:
   *     feature_imp<span>ortan</span>ce - (boolean) Whether feature importance
   *         should be populated in the returned TablesAnnotations. The
   *         default is false.
   *  *  For Video Object Tracking:
   *     `score_threshold` - (float) When Model detects objects on video frames,
   *         it will only produce bounding boxes which have at least this
   *         confidence score. Value in 0 to 1 range, default is 0.5.
   *     `max_bounding_box_count` - (int64) No more than this number of bounding
   *         boxes will be returned per frame. Default is 100, the requested
   *         value may be limited by server.
   *     `min_bounding_box_size` - (float) Only bounding boxes with shortest edge
   *       at least that long as a relative value of video frame size will be
   *       returned. Value in 0 to 1 range. Default is 0.
   */
  // const params = [1,2,3,4]

  // Imports the Automl library
  const {PredictionServiceClient} = require('@google-cloud/automl').v1beta1;

  // Instantiates a client
  const automlClient = new PredictionServiceClient();

  async function callBatchPredict() {
    // Construct request
    const request = {
      name,
      inputConfig,
      outputConfig,
      params,
    };

    // Run request
    const [operation] = await automlClient.batchPredict(request);
    const [response] = await operation.promise();
    console.log(response);
  }

  callBatchPredict();