Documentation

Google_Service_CloudMachineLearning_Resource_ProjectsModels extends Google_Service_Resource
in package

The "models" collection of methods.

Typical usage is: $mlService = new Google_Service_CloudMachineLearning(...); $models = $mlService->models;

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.
create()  : Google_Service_CloudMachineLearning_GoogleCloudMlV1beta1Model
Creates a model which will later contain one or more versions.
createRequestUri()  : string
Parse/expand request parameters and create a fully qualified request uri.
delete()  : Google_Service_CloudMachineLearning_GoogleLongrunningOperation
Deletes a model.
get()  : Google_Service_CloudMachineLearning_GoogleCloudMlV1beta1Model
Gets information about a model, including its name, the description (if set), and the default version (if at least one version of the model has been deployed). (models.get)
listProjectsModels()  : Google_Service_CloudMachineLearning_GoogleCloudMlV1beta1ListModelsResponse
Lists the models in a project.
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 —

create()

Creates a model which will later contain one or more versions.

public create(string $parent, Google_Service_CloudMachineLearning_GoogleCloudMlV1beta1Model $postBody[, array<string|int, mixed> $optParams = array() ]) : Google_Service_CloudMachineLearning_GoogleCloudMlV1beta1Model

You must add at least one version before you can request predictions from the model. Add versions by calling [projects.models.versions.create](/ml/referenc e/rest/v1beta1/projects.models.versions/create). (models.create)

Parameters
$parent : string

Required. The project name.

Authorization: requires Editor role on the specified project.

$postBody : Google_Service_CloudMachineLearning_GoogleCloudMlV1beta1Model
$optParams : array<string|int, mixed> = array()

Optional parameters.

Return values
Google_Service_CloudMachineLearning_GoogleCloudMlV1beta1Model —

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

delete()

Deletes a model.

public delete(string $name[, array<string|int, mixed> $optParams = array() ]) : Google_Service_CloudMachineLearning_GoogleLongrunningOperation

You can only delete a model if there are no versions in it. You can delete versions by calling [projects.models.versions.delete](/ml/reference/rest/v1be ta1/projects.models.versions/delete). (models.delete)

Parameters
$name : string

Required. The name of the model.

Authorization: requires Editor role on the parent project.

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

Optional parameters.

Return values
Google_Service_CloudMachineLearning_GoogleLongrunningOperation —

get()

Gets information about a model, including its name, the description (if set), and the default version (if at least one version of the model has been deployed). (models.get)

public get(string $name[, array<string|int, mixed> $optParams = array() ]) : Google_Service_CloudMachineLearning_GoogleCloudMlV1beta1Model
Parameters
$name : string

Required. The name of the model.

Authorization: requires Viewer role on the parent project.

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

Optional parameters.

Return values
Google_Service_CloudMachineLearning_GoogleCloudMlV1beta1Model —

listProjectsModels()

Lists the models in a project.

public listProjectsModels(string $parent[, array<string|int, mixed> $optParams = array() ]) : Google_Service_CloudMachineLearning_GoogleCloudMlV1beta1ListModelsResponse

Each project can contain multiple models, and each model can have multiple versions. (models.listProjectsModels)

Parameters
$parent : string

Required. The name of the project whose models are to be listed.

Authorization: requires Viewer role on the specified project.

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

Optional parameters.

Tags
opt_param

int pageSize Optional. The number of models to retrieve per "page" of results. If there are more remaining results than this number, the response message will contain a valid value in the next_page_token field.

The default value is 20, and the maximum page size is 100.

opt_param

string pageToken Optional. A page token to request the next page of results.

You get the token from the next_page_token field of the response from the previous call.

Return values
Google_Service_CloudMachineLearning_GoogleCloudMlV1beta1ListModelsResponse —

convertToArrayAndStripNulls()

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

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