Class PredictionServiceClient (0.7.1)

PredictionServiceClient(
    transport=None,
    channel=None,
    credentials=None,
    client_config=None,
    client_info=None,
    client_options=None,
)

AutoML Prediction API.

On any input that is documented to expect a string parameter in snake_case or kebab-case, either of those cases is accepted.

Methods

PredictionServiceClient

PredictionServiceClient(
    transport=None,
    channel=None,
    credentials=None,
    client_config=None,
    client_info=None,
    client_options=None,
)

Constructor.

Parameters

Name	Description
`channel`	`grpc.Channel` DEPRECATED. A `Channel` instance through which to make calls. This argument is mutually exclusive with `credentials`; providing both will raise an exception.
`credentials`	`google.auth.credentials.Credentials` The authorization credentials to attach to requests. These credentials identify this application to the service. If none are specified, the client will attempt to ascertain the credentials from the environment. This argument is mutually exclusive with providing a transport instance to `transport`; doing so will raise an exception.
`client_config`	`dict` DEPRECATED. A dictionary of call options for each method. If not specified, the default configuration is used.
`client_info`	`google.api_core.gapic_v1.client_info.ClientInfo` The client info used to send a user-agent string along with API requests. If `None`, then default info will be used. Generally, you only need to set this if you're developing your own client library.
`client_options`	`Union[dict, google.api_core.client_options.ClientOptions]` Client options used to set user options on the client. API Endpoint should be set through client_options.

from_service_account_file

from_service_account_file(filename, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

Parameter

Name	Description
`filename`	`str` The path to the service account private key json file.

Returns

Type	Description
`PredictionServiceClient`	The constructed client.

from_service_account_json

from_service_account_json(filename, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

Parameter

Name	Description
`filename`	`str` The path to the service account private key json file.

Returns

Type	Description
`PredictionServiceClient`	The constructed client.

model_path

model_path(project, location, model)

Return a fully-qualified model string.

predict

predict(name, payload, params=None, retry=<_MethodDefault._DEFAULT_VALUE: <object object>>, timeout=<_MethodDefault._DEFAULT_VALUE: <object object>>, metadata=None)

Perform an online prediction. The prediction result will be directly returned in the response. Available for following ML problems, and their expected request payloads:

Translation - TextSnippet, content up to 25,000 characters, UTF-8 encoded.

.. rubric:: Example

from google.cloud import automl_v1

client = automl_v1.PredictionServiceClient()

name = client.model_path('[PROJECT]', '[LOCATION]', '[MODEL]')

TODO: Initialize payload:

payload = {}

response = client.predict(name, payload)