gcloud ai-platform local predict

gcloud ai-platform local predict - run prediction locally

gcloud 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 …]

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.

Run $ gcloud help for details.