NAME
    gcloud alpha ai-platform local predict - run prediction locally

SYNOPSIS
    gcloud alpha ai-platform 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
    (ALPHA) gcloud alpha ai-platform 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
    This command is currently in alpha and might change without notice. If this
    command fails with API permission errors despite specifying the correct
    project, you might be trying to access an API with an invitation-only early
    access allowlist. These variants are also available:

        $ gcloud ai-platform local predict

        $ gcloud beta ai-platform local predict

