NAME
    gcloud ml-engine predict - run AI Platform online prediction

SYNOPSIS
    gcloud ml-engine predict --model=MODEL
        (--json-instances=JSON_INSTANCES | --json-request=JSON_REQUEST
          | --text-instances=TEXT_INSTANCES) [--region=REGION]
        [--signature-name=SIGNATURE_NAME] [--version=VERSION]
        [GCLOUD_WIDE_FLAG ...]

DESCRIPTION
    gcloud ml-engine predict sends a prediction request to AI Platform for the
    given instances. This command will read up to 100 instances, though the
    service itself will accept instances up to the payload limit size
    (currently, 1.5MB). If you are predicting on more instances, you should use
    batch prediction via

        $ gcloud ml-engine jobs submit prediction.

REQUIRED FLAGS
     --model=MODEL
        Name of the model.

     Exactly one of these must be specified:

       --json-instances=JSON_INSTANCES
          Path to a local file from which instances are read. Instances are in
          JSON format; newline delimited.

          An example of the JSON instances file:

              {"images": [0.0, ..., 0.1], "key": 3}
              {"images": [0.0, ..., 0.1], "key": 2}
              ...

          This flag accepts "-" for stdin.

       --json-request=JSON_REQUEST
          Path to a local file containing the body of JSON request.

          An example of a JSON request:

              {
                "instances": [
                  {"x": [1, 2], "y": [3, 4]},
                  {"x": [-1, -2], "y": [-3, -4]}
                ]
              }

          This flag accepts "-" for stdin.

       --text-instances=TEXT_INSTANCES
          Path to a local file from which instances are read. Instances are in
          UTF-8 encoded text format; newline delimited.

          An example of the text instances file:

              107,4.9,2.5,4.5,1.7
              100,5.7,2.8,4.1,1.3
              ...

          This flag accepts "-" for stdin.

OPTIONAL FLAGS
     --region=REGION
        Google Cloud region of the regional endpoint to use for this command.
        For the global endpoint, the region needs to be specified as global.

        Learn more about regional endpoints and see a list of available
        regions:
        https://cloud.google.com/ai-platform/prediction/docs/regional-endpoints

        REGION must be one of: global, asia-east1, asia-northeast1,
        asia-southeast1, australia-southeast1, europe-west1, europe-west2,
        europe-west3, europe-west4, northamerica-northeast1, us-central1,
        us-east1, us-east4, us-west1.

     --signature-name=SIGNATURE_NAME
        Name of the signature defined in the SavedModel to use for this job.
        Defaults to DEFAULT_SERVING_SIGNATURE_DEF_KEY in
        https://www.tensorflow.org/api_docs/python/tf/compat/v1/saved_model/signature_constants,
        which is "serving_default". Only applies to TensorFlow models.

     --version=VERSION
        Model version to be used.

        If unspecified, the default version of the model will be used. To list
        model versions run

            $ gcloud ml-engine versions list

GCLOUD WIDE FLAGS
    These flags are available to all commands: --access-token-file, --account,
    --billing-project, --configuration, --flags-file, --flatten, --format,
    --help, --impersonate-service-account, --log-http, --project, --quiet,
    --trace-token, --user-output-enabled, --verbosity.

    Run $ gcloud help for details.

NOTES
    These variants are also available:

        $ gcloud alpha ml-engine predict

        $ gcloud beta ml-engine predict