gcloud beta ml-engine local predict - run prediction locally
gcloud beta 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 ...]
(BETA) gcloud beta 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.
- --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.
- --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.
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.
This command is currently in beta and might change without notice. These variants are also available:
$ gcloud ml-engine local predict
$ gcloud alpha ml-engine local predict