Cloud AutoML V1 Client - Class PredictionServiceClient (1.5.4)

Version 1.5.4

• 2.0.3 (latest)
• 2.0.2
• 1.6.5
• 1.5.4
• 1.4.17

Beta

This library is covered by the Pre-GA Offerings Terms of the Terms of Service. Pre-GA libraries might have limited support, and changes to pre-GA libraries might not be compatible with other pre-GA versions. For more information, see the launch stage descriptions.

Reference documentation and code samples for the Cloud AutoML V1 Client class PredictionServiceClient.

Service Description: AutoML Prediction API.

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

This class provides the ability to make remote calls to the backing service through method calls that map to API methods.

Many parameters require resource names to be formatted in a particular way. To assist with these names, this class includes a format method for each type of name, and additionally a parseName method to extract the individual identifiers contained within formatted names that are returned by the API.

This class is currently experimental and may be subject to changes. See Google\Cloud\AutoMl\V1\PredictionServiceClient for the stable implementation

Namespace

Google \ Cloud \ AutoMl \ V1 \ Client

Methods

__construct

Constructor.

Parameters
Name	Description
options	array Optional. Options for configuring the service API wrapper.
↳ apiEndpoint	string The address of the API remote host. May optionally include the port, formatted as "
↳ credentials	string|array|FetchAuthTokenInterface|CredentialsWrapper The credentials to be used by the client to authorize API calls. This option accepts either a path to a credentials file, or a decoded credentials file as a PHP array. Advanced usage: In addition, this option can also accept a pre-constructed Google\Auth\FetchAuthTokenInterface object or Google\ApiCore\CredentialsWrapper object. Note that when one of these objects are provided, any settings in $credentialsConfig will be ignored.
↳ credentialsConfig	array Options used to configure credentials, including auth token caching, for the client. For a full list of supporting configuration options, see Google\ApiCore\CredentialsWrapper::build() .
↳ disableRetries	bool Determines whether or not retries defined by the client configuration should be disabled. Defaults to false.
↳ clientConfig	string|array Client method configuration, including retry settings. This option can be either a path to a JSON file, or a PHP array containing the decoded JSON data. By default this settings points to the default client config file, which is provided in the resources folder.
↳ transport	string|TransportInterface The transport used for executing network requests. May be either the string rest or grpc. Defaults to grpc if gRPC support is detected on the system. Advanced usage: Additionally, it is possible to pass in an already instantiated Google\ApiCore\Transport\TransportInterface object. Note that when this object is provided, any settings in $transportConfig, and any $apiEndpoint setting, will be ignored.
↳ transportConfig	array Configuration options that will be used to construct the transport. Options for each supported transport type should be passed in a key for that transport. For example: $transportConfig = [ 'grpc' => [...], 'rest' => [...], ]; See the Google\ApiCore\Transport\GrpcTransport::build() and Google\ApiCore\Transport\RestTransport::build() methods for the supported options.
↳ clientCertSource	callable A callable which returns the client cert as a string. This can be used to provide a certificate and private key to the transport layer for mTLS.

batchPredict

Perform a batch prediction. Unlike the online Predict, batch prediction result won't be immediately available in the response. Instead, a long running operation object is returned. User can poll the operation result via GetOperation method. Once the operation is done, BatchPredictResult is returned in the response field.

Available for following ML scenarios:

• AutoML Vision Classification
• AutoML Vision Object Detection
• AutoML Video Intelligence Classification
• AutoML Video Intelligence Object Tracking * AutoML Natural Language Classification
• AutoML Natural Language Entity Extraction
• AutoML Natural Language Sentiment Analysis
• AutoML Tables

The async variant is Google\Cloud\AutoMl\V1\Client\PredictionServiceClient::batchPredictAsync() .

Parameters
Name	Description
request	Google\Cloud\AutoMl\V1\BatchPredictRequest A request to house fields associated with the call.
callOptions	array Optional.
↳ retrySettings	RetrySettings|array Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
Google\ApiCore\OperationResponse

predict

Perform an online prediction. The prediction result is directly returned in the response.

Available for following ML scenarios, and their expected request payloads:

AutoML Vision Classification

• An image in .JPEG, .GIF or .PNG format, image_bytes up to 30MB.

AutoML Vision Object Detection

• An image in .JPEG, .GIF or .PNG format, image_bytes up to 30MB.

AutoML Natural Language Classification

• A TextSnippet up to 60,000 characters, UTF-8 encoded or a document in .PDF, .TIF or .TIFF format with size upto 2MB.

AutoML Natural Language Entity Extraction

• A TextSnippet up to 10,000 characters, UTF-8 NFC encoded or a document in .PDF, .TIF or .TIFF format with size upto 20MB.

AutoML Natural Language Sentiment Analysis

• A TextSnippet up to 60,000 characters, UTF-8 encoded or a document in .PDF, .TIF or .TIFF format with size upto 2MB.

AutoML Translation

• A TextSnippet up to 25,000 characters, UTF-8 encoded.

AutoML Tables

• A row with column values matching the columns of the model, up to 5MB. Not available for FORECASTING prediction_type.

The async variant is Google\Cloud\AutoMl\V1\Client\PredictionServiceClient::predictAsync() .

Parameters
Name	Description
request	Google\Cloud\AutoMl\V1\PredictRequest A request to house fields associated with the call.
callOptions	array Optional.
↳ retrySettings	RetrySettings|array Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
Google\Cloud\AutoMl\V1\PredictResponse

batchPredictAsync

Parameters
Name	Description
request	Google\Cloud\AutoMl\V1\BatchPredictRequest
optionalArgs = []	array

Returns
Type	Description
GuzzleHttp\Promise\PromiseInterface

predictAsync

Parameters
Name	Description
request	Google\Cloud\AutoMl\V1\PredictRequest
optionalArgs = []	array

Returns
Type	Description
GuzzleHttp\Promise\PromiseInterface

getOperationsClient

Return an OperationsClient object with the same endpoint as $this.

Returns
Type	Description
Google\ApiCore\LongRunning\OperationsClient

resumeOperation

Resume an existing long running operation that was previously started by a long running API method. If $methodName is not provided, or does not match a long running API method, then the operation can still be resumed, but the OperationResponse object will not deserialize the final response.

Parameters
Name	Description
operationName	string The name of the long running operation
methodName	string The name of the method used to start the operation

Returns
Type	Description
Google\ApiCore\OperationResponse

static::modelName

Formats a string containing the fully-qualified path to represent a model resource.

Parameters
Name	Description
project	string
location	string
model	string

Returns
Type	Description
string	The formatted model resource.

static::parseName

Parses a formatted name string and returns an associative array of the components in the name.

The following name formats are supported: Template: Pattern

• model: projects/{project}/locations/{location}/models/{model}

The optional $template argument can be supplied to specify a particular pattern, and must match one of the templates listed above. If no $template argument is provided, or if the $template argument does not match one of the templates listed, then parseName will check each of the supported templates, and return the first match.

Parameters
Name	Description
formattedName	string The formatted name string
template	string Optional name of template to match

Returns
Type	Description
array	An associative array from name component IDs to component values.