NAME
    gcloud ml-engine local predict - run prediction locally

SYNOPSIS
    gcloud ml-engine local predict --model-dir=MODEL_DIR
        (--json-instances=JSON_INSTANCES | --json-request=JSON_REQUEST
          | --text-instances=TEXT_INSTANCES) [--framework=FRAMEWORK]
        [--signature-name=SIGNATURE_NAME] [GCLOUD_WIDE_FLAG ...]

DESCRIPTION
    gcloud ml-engine local predict performs prediction locally with the given
    instances. It requires the TensorFlow SDK
    (https://www.tensorflow.org/install) be installed locally. The output
    format mirrors gcloud ai-platform predict (online prediction).

    You cannot use this command with custom prediction routines.

REQUIRED FLAGS
     --model-dir=MODEL_DIR
        Path to 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
     --framework=FRAMEWORK
        ML framework used to train this version of the model. If not specified,
        defaults to 'tensorflow'. FRAMEWORK must be one of: scikit-learn,
        tensorflow, xgboost.

     --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.

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 local predict

        $ gcloud beta ml-engine local predict