Documentation

Google_Service_CloudMachineLearningEngine_Resource_Projects extends Google_Service_Resource
in package

The "projects" collection of methods.

Typical usage is: $mlService = new Google_Service_CloudMachineLearningEngine(...); $projects = $mlService->projects;

Table of Contents

$client  : Google_Client
$methods  : array<string|int, mixed>
$resourceName  : string
$rootUrl  : string
$serviceName  : string
$servicePath  : string
$stackParameters  : mixed
__construct()  : mixed
call()  : Google_Http_Request|expectedClass
TODO: This function needs simplifying.
createRequestUri()  : string
Parse/expand request parameters and create a fully qualified request uri.
explain()  : Google_Service_CloudMachineLearningEngine_GoogleApiHttpBody
Performs explanation on the data in the request. {% dynamic include "/ai- platform/includes/___explain-request" %} (projects.explain)
getConfig()  : Google_Service_CloudMachineLearningEngine_GoogleCloudMlV1GetConfigResponse
Get the service account information associated with your project. You need this information in order to grant the service account permissions for the Google Cloud Storage location where you put your model training code for training the model with Google Cloud Machine Learning. (projects.getConfig)
predict()  : Google_Service_CloudMachineLearningEngine_GoogleApiHttpBody
Performs online prediction on the data in the request. {% dynamic include "/ai-platform/includes/___predict-request" %} (projects.predict)
convertToArrayAndStripNulls()  : mixed

Properties

$methods

private array<string|int, mixed> $methods

$resourceName

private string $resourceName

$serviceName

private string $serviceName

$servicePath

private string $servicePath

$stackParameters

private mixed $stackParameters = array('alt' => array('type' => 'string', 'location' => 'query'), 'fields' => array('type' => 'string', 'location' => 'query'), 'trace' => array('type' => 'string', 'location' => 'query'), 'userIp' => array('type' => 'string', 'location' => 'query'), 'quotaUser' => array('type' => 'string', 'location' => 'query'), 'data' => array('type' => 'string', 'location' => 'body'), 'mimeType' => array('type' => 'string', 'location' => 'header'), 'uploadType' => array('type' => 'string', 'location' => 'query'), 'mediaUpload' => array('type' => 'complex', 'location' => 'query'), 'prettyPrint' => array('type' => 'string', 'location' => 'query'))

Methods

__construct()

public __construct(mixed $service, mixed $serviceName, mixed $resourceName, mixed $resource) : mixed
Parameters
$service : mixed
$serviceName : mixed
$resourceName : mixed
$resource : mixed
Return values
mixed —

call()

TODO: This function needs simplifying.

public call( $name,  $arguments[,  $expectedClass = null ]) : Google_Http_Request|expectedClass
Parameters
$name :
$arguments :
$expectedClass : = null
  • optional, the expected class name
Tags
throws
Google_Exception
Return values
Google_Http_Request|expectedClass —

createRequestUri()

Parse/expand request parameters and create a fully qualified request uri.

public createRequestUri(string $restPath, array<string|int, mixed> $params) : string
Parameters
$restPath : string
$params : array<string|int, mixed>
Tags
static
Return values
string —

$requestUrl

explain()

Performs explanation on the data in the request. {% dynamic include "/ai- platform/includes/___explain-request" %} (projects.explain)

public explain(string $name, Google_Service_CloudMachineLearningEngine_GoogleCloudMlV1ExplainRequest $postBody[, array<string|int, mixed> $optParams = array() ]) : Google_Service_CloudMachineLearningEngine_GoogleApiHttpBody
Parameters
$name : string

Required. The resource name of a model or a version. Authorization: requires the predict permission on the specified resource.

$postBody : Google_Service_CloudMachineLearningEngine_GoogleCloudMlV1ExplainRequest
$optParams : array<string|int, mixed> = array()

Optional parameters.

Return values
Google_Service_CloudMachineLearningEngine_GoogleApiHttpBody —

getConfig()

Get the service account information associated with your project. You need this information in order to grant the service account permissions for the Google Cloud Storage location where you put your model training code for training the model with Google Cloud Machine Learning. (projects.getConfig)

public getConfig(string $name[, array<string|int, mixed> $optParams = array() ]) : Google_Service_CloudMachineLearningEngine_GoogleCloudMlV1GetConfigResponse
Parameters
$name : string

Required. The project name.

$optParams : array<string|int, mixed> = array()

Optional parameters.

Return values
Google_Service_CloudMachineLearningEngine_GoogleCloudMlV1GetConfigResponse —

predict()

Performs online prediction on the data in the request. {% dynamic include "/ai-platform/includes/___predict-request" %} (projects.predict)

public predict(string $name, Google_Service_CloudMachineLearningEngine_GoogleCloudMlV1PredictRequest $postBody[, array<string|int, mixed> $optParams = array() ]) : Google_Service_CloudMachineLearningEngine_GoogleApiHttpBody
Parameters
$name : string

Required. The resource name of a model or a version. Authorization: requires the predict permission on the specified resource.

$postBody : Google_Service_CloudMachineLearningEngine_GoogleCloudMlV1PredictRequest
$optParams : array<string|int, mixed> = array()

Optional parameters.

Return values
Google_Service_CloudMachineLearningEngine_GoogleApiHttpBody —

convertToArrayAndStripNulls()

protected convertToArrayAndStripNulls(mixed $o) : mixed
Parameters
$o : mixed
Return values
mixed —

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