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.

--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

The 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

The name of the signature defined in the SavedModel to use for this job. Defaults to DEFAULT_SERVING_SIGNATURE_DEF_KEY in www.tensorflow.org/api_docs/python/tf/saved_model/signature_constants which is "serving_default". Only applies to TensorFlow models.

GCLOUD WIDE FLAGS

NOTES

$ gcloud ml-engine local predict $ gcloud alpha ml-engine local predict