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Reference documentation and code samples for the Google Cloud Ai Platform V1 Client class JobServiceClient.
Service Description: A service for creating and managing Vertex AI's jobs.
This class provides the ability to make remote calls to the backing service through method calls that map to API methods. Sample code to get started:
$jobServiceClient = new JobServiceClient();
try {
$formattedName = $jobServiceClient->batchPredictionJobName('[PROJECT]', '[LOCATION]', '[BATCH_PREDICTION_JOB]');
$jobServiceClient->cancelBatchPredictionJob($formattedName);
} finally {
$jobServiceClient->close();
}
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.
Methods
batchPredictionJobName
Formats a string containing the fully-qualified path to represent a batch_prediction_job resource.
project
string
location
string
batchPredictionJob
string
string
contextName
Formats a string containing the fully-qualified path to represent a context resource.
project
string
location
string
metadataStore
string
context
string
string
customJobName
Formats a string containing the fully-qualified path to represent a custom_job resource.
project
string
location
string
customJob
string
string
dataLabelingJobName
Formats a string containing the fully-qualified path to represent a data_labeling_job resource.
project
string
location
string
dataLabelingJob
string
string
datasetName
Formats a string containing the fully-qualified path to represent a dataset resource.
project
string
location
string
dataset
string
string
endpointName
Formats a string containing the fully-qualified path to represent a endpoint resource.
project
string
location
string
endpoint
string
string
hyperparameterTuningJobName
Formats a string containing the fully-qualified path to represent a hyperparameter_tuning_job resource.
project
string
location
string
hyperparameterTuningJob
string
string
locationName
Formats a string containing the fully-qualified path to represent a location resource.
project
string
location
string
string
modelName
Formats a string containing the fully-qualified path to represent a model resource.
project
string
location
string
model
string
string
modelDeploymentMonitoringJobName
Formats a string containing the fully-qualified path to represent a model_deployment_monitoring_job resource.
project
string
location
string
modelDeploymentMonitoringJob
string
string
nasJobName
Formats a string containing the fully-qualified path to represent a nas_job resource.
project
string
location
string
nasJob
string
string
nasTrialDetailName
Formats a string containing the fully-qualified path to represent a nas_trial_detail resource.
project
string
location
string
nasJob
string
nasTrialDetail
string
string
networkName
Formats a string containing the fully-qualified path to represent a network resource.
project
string
network
string
string
projectLocationEndpointName
Formats a string containing the fully-qualified path to represent a project_location_endpoint resource.
project
string
location
string
endpoint
string
string
projectLocationPublisherModelName
Formats a string containing the fully-qualified path to represent a project_location_publisher_model resource.
project
string
location
string
publisher
string
model
string
string
tensorboardName
Formats a string containing the fully-qualified path to represent a tensorboard resource.
project
string
location
string
tensorboard
string
string
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
- batchPredictionJob: projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}
- context: projects/{project}/locations/{location}/metadataStores/{metadata_store}/contexts/{context}
- customJob: projects/{project}/locations/{location}/customJobs/{custom_job}
- dataLabelingJob: projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}
- dataset: projects/{project}/locations/{location}/datasets/{dataset}
- endpoint: projects/{project}/locations/{location}/endpoints/{endpoint}
- hyperparameterTuningJob: projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}
- location: projects/{project}/locations/{location}
- model: projects/{project}/locations/{location}/models/{model}
- modelDeploymentMonitoringJob: projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}
- nasJob: projects/{project}/locations/{location}/nasJobs/{nas_job}
- nasTrialDetail: projects/{project}/locations/{location}/nasJobs/{nas_job}/nasTrialDetails/{nas_trial_detail}
- network: projects/{project}/global/networks/{network}
- projectLocationEndpoint: projects/{project}/locations/{location}/endpoints/{endpoint}
- projectLocationPublisherModel: projects/{project}/locations/{location}/publishers/{publisher}/models/{model}
- tensorboard: projects/{project}/locations/{location}/tensorboards/{tensorboard}
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.
formattedName
string
The formatted name string
template
string
Optional name of template to match
array
getOperationsClient
Return an OperationsClient object with the same endpoint as $this.
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.
operationName
string
The name of the long running operation
methodName
string
The name of the method used to start the operation
__construct
Constructor.
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.
cancelBatchPredictionJob
Cancels a BatchPredictionJob.
Starts asynchronous cancellation on the BatchPredictionJob. The server
makes the best effort to cancel the job, but success is not
guaranteed. Clients can use JobService.GetBatchPredictionJob
or other methods to check whether the cancellation succeeded or whether the
job completed despite cancellation. On a successful cancellation,
the BatchPredictionJob is not deleted;instead its BatchPredictionJob.state
is set to CANCELLED
. Any files already outputted by the job are not
deleted.
name
string
Required. The name of the BatchPredictionJob to cancel.
Format: projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}
optionalArgs
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.
use Google\ApiCore\ApiException;
use Google\Cloud\AIPlatform\V1\CancelBatchPredictionJobRequest;
use Google\Cloud\AIPlatform\V1\Client\JobServiceClient;
/**
* @param string $formattedName The name of the BatchPredictionJob to cancel.
* Format:
* `projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}`
* Please see {@see JobServiceClient::batchPredictionJobName()} for help formatting this field.
*/
function cancel_batch_prediction_job_sample(string $formattedName): void
{
// Create a client.
$jobServiceClient = new JobServiceClient();
// Prepare the request message.
$request = (new CancelBatchPredictionJobRequest())
->setName($formattedName);
// Call the API and handle any network failures.
try {
$jobServiceClient->cancelBatchPredictionJob($request);
printf('Call completed successfully.' . PHP_EOL);
} catch (ApiException $ex) {
printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
}
}
/**
* This sample has been automatically generated and should be regarded as a code
* template only. It will require modifications to work:
* - It may require correct/in-range values for request initialization.
* - It may require specifying regional endpoints when creating the service client,
* please see the apiEndpoint client configuration option for more details.
*/
function callSample(): void
{
$formattedName = JobServiceClient::batchPredictionJobName(
'[PROJECT]',
'[LOCATION]',
'[BATCH_PREDICTION_JOB]'
);
cancel_batch_prediction_job_sample($formattedName);
}
cancelCustomJob
Cancels a CustomJob.
Starts asynchronous cancellation on the CustomJob. The server
makes a best effort to cancel the job, but success is not
guaranteed. Clients can use JobService.GetCustomJob
or other methods to check whether the cancellation succeeded or whether the
job completed despite cancellation. On successful cancellation,
the CustomJob is not deleted; instead it becomes a job with
a CustomJob.error
value with
a google.rpc.Status.code
of 1, corresponding to Code.CANCELLED
, and CustomJob.state
is set to CANCELLED
.
name
string
Required. The name of the CustomJob to cancel.
Format: projects/{project}/locations/{location}/customJobs/{custom_job}
optionalArgs
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.
use Google\ApiCore\ApiException;
use Google\Cloud\AIPlatform\V1\CancelCustomJobRequest;
use Google\Cloud\AIPlatform\V1\Client\JobServiceClient;
/**
* @param string $formattedName The name of the CustomJob to cancel.
* Format:
* `projects/{project}/locations/{location}/customJobs/{custom_job}`
* Please see {@see JobServiceClient::customJobName()} for help formatting this field.
*/
function cancel_custom_job_sample(string $formattedName): void
{
// Create a client.
$jobServiceClient = new JobServiceClient();
// Prepare the request message.
$request = (new CancelCustomJobRequest())
->setName($formattedName);
// Call the API and handle any network failures.
try {
$jobServiceClient->cancelCustomJob($request);
printf('Call completed successfully.' . PHP_EOL);
} catch (ApiException $ex) {
printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
}
}
/**
* This sample has been automatically generated and should be regarded as a code
* template only. It will require modifications to work:
* - It may require correct/in-range values for request initialization.
* - It may require specifying regional endpoints when creating the service client,
* please see the apiEndpoint client configuration option for more details.
*/
function callSample(): void
{
$formattedName = JobServiceClient::customJobName('[PROJECT]', '[LOCATION]', '[CUSTOM_JOB]');
cancel_custom_job_sample($formattedName);
}
cancelDataLabelingJob
Cancels a DataLabelingJob. Success of cancellation is not guaranteed.
name
string
Required. The name of the DataLabelingJob.
Format: projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}
optionalArgs
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.
use Google\ApiCore\ApiException;
use Google\Cloud\AIPlatform\V1\CancelDataLabelingJobRequest;
use Google\Cloud\AIPlatform\V1\Client\JobServiceClient;
/**
* @param string $formattedName The name of the DataLabelingJob.
* Format:
* `projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}`
* Please see {@see JobServiceClient::dataLabelingJobName()} for help formatting this field.
*/
function cancel_data_labeling_job_sample(string $formattedName): void
{
// Create a client.
$jobServiceClient = new JobServiceClient();
// Prepare the request message.
$request = (new CancelDataLabelingJobRequest())
->setName($formattedName);
// Call the API and handle any network failures.
try {
$jobServiceClient->cancelDataLabelingJob($request);
printf('Call completed successfully.' . PHP_EOL);
} catch (ApiException $ex) {
printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
}
}
/**
* This sample has been automatically generated and should be regarded as a code
* template only. It will require modifications to work:
* - It may require correct/in-range values for request initialization.
* - It may require specifying regional endpoints when creating the service client,
* please see the apiEndpoint client configuration option for more details.
*/
function callSample(): void
{
$formattedName = JobServiceClient::dataLabelingJobName(
'[PROJECT]',
'[LOCATION]',
'[DATA_LABELING_JOB]'
);
cancel_data_labeling_job_sample($formattedName);
}
cancelHyperparameterTuningJob
Cancels a HyperparameterTuningJob.
Starts asynchronous cancellation on the HyperparameterTuningJob. The server
makes a best effort to cancel the job, but success is not
guaranteed. Clients can use JobService.GetHyperparameterTuningJob
or other methods to check whether the cancellation succeeded or whether the
job completed despite cancellation. On successful cancellation,
the HyperparameterTuningJob is not deleted; instead it becomes a job with
a HyperparameterTuningJob.error
value with a google.rpc.Status.code
of 1,
corresponding to Code.CANCELLED
, and HyperparameterTuningJob.state
is set to CANCELLED
.
name
string
Required. The name of the HyperparameterTuningJob to cancel.
Format: projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}
optionalArgs
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.
use Google\ApiCore\ApiException;
use Google\Cloud\AIPlatform\V1\CancelHyperparameterTuningJobRequest;
use Google\Cloud\AIPlatform\V1\Client\JobServiceClient;
/**
* @param string $formattedName The name of the HyperparameterTuningJob to cancel.
* Format:
* `projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}`
* Please see {@see JobServiceClient::hyperparameterTuningJobName()} for help formatting this field.
*/
function cancel_hyperparameter_tuning_job_sample(string $formattedName): void
{
// Create a client.
$jobServiceClient = new JobServiceClient();
// Prepare the request message.
$request = (new CancelHyperparameterTuningJobRequest())
->setName($formattedName);
// Call the API and handle any network failures.
try {
$jobServiceClient->cancelHyperparameterTuningJob($request);
printf('Call completed successfully.' . PHP_EOL);
} catch (ApiException $ex) {
printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
}
}
/**
* This sample has been automatically generated and should be regarded as a code
* template only. It will require modifications to work:
* - It may require correct/in-range values for request initialization.
* - It may require specifying regional endpoints when creating the service client,
* please see the apiEndpoint client configuration option for more details.
*/
function callSample(): void
{
$formattedName = JobServiceClient::hyperparameterTuningJobName(
'[PROJECT]',
'[LOCATION]',
'[HYPERPARAMETER_TUNING_JOB]'
);
cancel_hyperparameter_tuning_job_sample($formattedName);
}
cancelNasJob
Cancels a NasJob.
Starts asynchronous cancellation on the NasJob. The server
makes a best effort to cancel the job, but success is not
guaranteed. Clients can use JobService.GetNasJob
or
other methods to check whether the cancellation succeeded or whether the
job completed despite cancellation. On successful cancellation,
the NasJob is not deleted; instead it becomes a job with
a NasJob.error
value with a google.rpc.Status.code
of 1, corresponding to Code.CANCELLED
, and NasJob.state
is set to CANCELLED
.
name
string
Required. The name of the NasJob to cancel.
Format: projects/{project}/locations/{location}/nasJobs/{nas_job}
optionalArgs
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.
use Google\ApiCore\ApiException;
use Google\Cloud\AIPlatform\V1\CancelNasJobRequest;
use Google\Cloud\AIPlatform\V1\Client\JobServiceClient;
/**
* @param string $formattedName The name of the NasJob to cancel.
* Format:
* `projects/{project}/locations/{location}/nasJobs/{nas_job}`
* Please see {@see JobServiceClient::nasJobName()} for help formatting this field.
*/
function cancel_nas_job_sample(string $formattedName): void
{
// Create a client.
$jobServiceClient = new JobServiceClient();
// Prepare the request message.
$request = (new CancelNasJobRequest())
->setName($formattedName);
// Call the API and handle any network failures.
try {
$jobServiceClient->cancelNasJob($request);
printf('Call completed successfully.' . PHP_EOL);
} catch (ApiException $ex) {
printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
}
}
/**
* This sample has been automatically generated and should be regarded as a code
* template only. It will require modifications to work:
* - It may require correct/in-range values for request initialization.
* - It may require specifying regional endpoints when creating the service client,
* please see the apiEndpoint client configuration option for more details.
*/
function callSample(): void
{
$formattedName = JobServiceClient::nasJobName('[PROJECT]', '[LOCATION]', '[NAS_JOB]');
cancel_nas_job_sample($formattedName);
}
createBatchPredictionJob
Creates a BatchPredictionJob. A BatchPredictionJob once created will right away be attempted to start.
parent
string
Required. The resource name of the Location to create the
BatchPredictionJob in. Format: projects/{project}/locations/{location}
batchPredictionJob
optionalArgs
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.
use Google\ApiCore\ApiException;
use Google\Cloud\AIPlatform\V1\BatchPredictionJob;
use Google\Cloud\AIPlatform\V1\BatchPredictionJob\InputConfig;
use Google\Cloud\AIPlatform\V1\BatchPredictionJob\OutputConfig;
use Google\Cloud\AIPlatform\V1\Client\JobServiceClient;
use Google\Cloud\AIPlatform\V1\CreateBatchPredictionJobRequest;
/**
* @param string $formattedParent The resource name of the Location to create the
* BatchPredictionJob in. Format: `projects/{project}/locations/{location}`
* Please see {@see JobServiceClient::locationName()} for help formatting this field.
* @param string $batchPredictionJobDisplayName The user-defined name of this BatchPredictionJob.
* @param string $batchPredictionJobInputConfigInstancesFormat The format in which instances are given, must be one of the
* [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
* [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats].
* @param string $batchPredictionJobOutputConfigPredictionsFormat The format in which Vertex AI gives the predictions, must be
* one of the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
* [supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats].
*/
function create_batch_prediction_job_sample(
string $formattedParent,
string $batchPredictionJobDisplayName,
string $batchPredictionJobInputConfigInstancesFormat,
string $batchPredictionJobOutputConfigPredictionsFormat
): void {
// Create a client.
$jobServiceClient = new JobServiceClient();
// Prepare the request message.
$batchPredictionJobInputConfig = (new InputConfig())
->setInstancesFormat($batchPredictionJobInputConfigInstancesFormat);
$batchPredictionJobOutputConfig = (new OutputConfig())
->setPredictionsFormat($batchPredictionJobOutputConfigPredictionsFormat);
$batchPredictionJob = (new BatchPredictionJob())
->setDisplayName($batchPredictionJobDisplayName)
->setInputConfig($batchPredictionJobInputConfig)
->setOutputConfig($batchPredictionJobOutputConfig);
$request = (new CreateBatchPredictionJobRequest())
->setParent($formattedParent)
->setBatchPredictionJob($batchPredictionJob);
// Call the API and handle any network failures.
try {
/** @var BatchPredictionJob $response */
$response = $jobServiceClient->createBatchPredictionJob($request);
printf('Response data: %s' . PHP_EOL, $response->serializeToJsonString());
} catch (ApiException $ex) {
printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
}
}
/**
* This sample has been automatically generated and should be regarded as a code
* template only. It will require modifications to work:
* - It may require correct/in-range values for request initialization.
* - It may require specifying regional endpoints when creating the service client,
* please see the apiEndpoint client configuration option for more details.
*/
function callSample(): void
{
$formattedParent = JobServiceClient::locationName('[PROJECT]', '[LOCATION]');
$batchPredictionJobDisplayName = '[DISPLAY_NAME]';
$batchPredictionJobInputConfigInstancesFormat = '[INSTANCES_FORMAT]';
$batchPredictionJobOutputConfigPredictionsFormat = '[PREDICTIONS_FORMAT]';
create_batch_prediction_job_sample(
$formattedParent,
$batchPredictionJobDisplayName,
$batchPredictionJobInputConfigInstancesFormat,
$batchPredictionJobOutputConfigPredictionsFormat
);
}
createCustomJob
Creates a CustomJob. A created CustomJob right away will be attempted to be run.
parent
string
Required. The resource name of the Location to create the CustomJob in.
Format: projects/{project}/locations/{location}
customJob
optionalArgs
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.
use Google\ApiCore\ApiException;
use Google\Cloud\AIPlatform\V1\Client\JobServiceClient;
use Google\Cloud\AIPlatform\V1\CreateCustomJobRequest;
use Google\Cloud\AIPlatform\V1\CustomJob;
use Google\Cloud\AIPlatform\V1\CustomJobSpec;
use Google\Cloud\AIPlatform\V1\WorkerPoolSpec;
/**
* @param string $formattedParent The resource name of the Location to create the CustomJob in.
* Format: `projects/{project}/locations/{location}`
* Please see {@see JobServiceClient::locationName()} for help formatting this field.
* @param string $customJobDisplayName The display name of the CustomJob.
* The name can be up to 128 characters long and can consist of any UTF-8
* characters.
*/
function create_custom_job_sample(string $formattedParent, string $customJobDisplayName): void
{
// Create a client.
$jobServiceClient = new JobServiceClient();
// Prepare the request message.
$customJobJobSpecWorkerPoolSpecs = [new WorkerPoolSpec()];
$customJobJobSpec = (new CustomJobSpec())
->setWorkerPoolSpecs($customJobJobSpecWorkerPoolSpecs);
$customJob = (new CustomJob())
->setDisplayName($customJobDisplayName)
->setJobSpec($customJobJobSpec);
$request = (new CreateCustomJobRequest())
->setParent($formattedParent)
->setCustomJob($customJob);
// Call the API and handle any network failures.
try {
/** @var CustomJob $response */
$response = $jobServiceClient->createCustomJob($request);
printf('Response data: %s' . PHP_EOL, $response->serializeToJsonString());
} catch (ApiException $ex) {
printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
}
}
/**
* This sample has been automatically generated and should be regarded as a code
* template only. It will require modifications to work:
* - It may require correct/in-range values for request initialization.
* - It may require specifying regional endpoints when creating the service client,
* please see the apiEndpoint client configuration option for more details.
*/
function callSample(): void
{
$formattedParent = JobServiceClient::locationName('[PROJECT]', '[LOCATION]');
$customJobDisplayName = '[DISPLAY_NAME]';
create_custom_job_sample($formattedParent, $customJobDisplayName);
}
createDataLabelingJob
Creates a DataLabelingJob.
parent
string
Required. The parent of the DataLabelingJob.
Format: projects/{project}/locations/{location}
dataLabelingJob
optionalArgs
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.
use Google\ApiCore\ApiException;
use Google\Cloud\AIPlatform\V1\Client\JobServiceClient;
use Google\Cloud\AIPlatform\V1\CreateDataLabelingJobRequest;
use Google\Cloud\AIPlatform\V1\DataLabelingJob;
use Google\Protobuf\Value;
/**
* @param string $formattedParent The parent of the DataLabelingJob.
* Format: `projects/{project}/locations/{location}`
* Please see {@see JobServiceClient::locationName()} for help formatting this field.
* @param string $dataLabelingJobDisplayName The user-defined name of the DataLabelingJob.
* The name can be up to 128 characters long and can consist of any UTF-8
* characters.
* Display name of a DataLabelingJob.
* @param string $formattedDataLabelingJobDatasetsElement Dataset resource names. Right now we only support labeling from a
* single Dataset. Format:
* `projects/{project}/locations/{location}/datasets/{dataset}`
* Please see {@see JobServiceClient::datasetName()} for help formatting this field.
* @param int $dataLabelingJobLabelerCount Number of labelers to work on each DataItem.
* @param string $dataLabelingJobInstructionUri The Google Cloud Storage location of the instruction pdf. This
* pdf is shared with labelers, and provides detailed description on how to
* label DataItems in Datasets.
* @param string $dataLabelingJobInputsSchemaUri Points to a YAML file stored on Google Cloud Storage describing
* the config for a specific type of DataLabelingJob. The schema files that
* can be used here are found in the
* https://storage.googleapis.com/google-cloud-aiplatform bucket in the
* /schema/datalabelingjob/inputs/ folder.
*/
function create_data_labeling_job_sample(
string $formattedParent,
string $dataLabelingJobDisplayName,
string $formattedDataLabelingJobDatasetsElement,
int $dataLabelingJobLabelerCount,
string $dataLabelingJobInstructionUri,
string $dataLabelingJobInputsSchemaUri
): void {
// Create a client.
$jobServiceClient = new JobServiceClient();
// Prepare the request message.
$formattedDataLabelingJobDatasets = [$formattedDataLabelingJobDatasetsElement,];
$dataLabelingJobInputs = new Value();
$dataLabelingJob = (new DataLabelingJob())
->setDisplayName($dataLabelingJobDisplayName)
->setDatasets($formattedDataLabelingJobDatasets)
->setLabelerCount($dataLabelingJobLabelerCount)
->setInstructionUri($dataLabelingJobInstructionUri)
->setInputsSchemaUri($dataLabelingJobInputsSchemaUri)
->setInputs($dataLabelingJobInputs);
$request = (new CreateDataLabelingJobRequest())
->setParent($formattedParent)
->setDataLabelingJob($dataLabelingJob);
// Call the API and handle any network failures.
try {
/** @var DataLabelingJob $response */
$response = $jobServiceClient->createDataLabelingJob($request);
printf('Response data: %s' . PHP_EOL, $response->serializeToJsonString());
} catch (ApiException $ex) {
printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
}
}
/**
* This sample has been automatically generated and should be regarded as a code
* template only. It will require modifications to work:
* - It may require correct/in-range values for request initialization.
* - It may require specifying regional endpoints when creating the service client,
* please see the apiEndpoint client configuration option for more details.
*/
function callSample(): void
{
$formattedParent = JobServiceClient::locationName('[PROJECT]', '[LOCATION]');
$dataLabelingJobDisplayName = '[DISPLAY_NAME]';
$formattedDataLabelingJobDatasetsElement = JobServiceClient::datasetName(
'[PROJECT]',
'[LOCATION]',
'[DATASET]'
);
$dataLabelingJobLabelerCount = 0;
$dataLabelingJobInstructionUri = '[INSTRUCTION_URI]';
$dataLabelingJobInputsSchemaUri = '[INPUTS_SCHEMA_URI]';
create_data_labeling_job_sample(
$formattedParent,
$dataLabelingJobDisplayName,
$formattedDataLabelingJobDatasetsElement,
$dataLabelingJobLabelerCount,
$dataLabelingJobInstructionUri,
$dataLabelingJobInputsSchemaUri
);
}
createHyperparameterTuningJob
Creates a HyperparameterTuningJob
parent
string
Required. The resource name of the Location to create the
HyperparameterTuningJob in. Format: projects/{project}/locations/{location}
hyperparameterTuningJob
optionalArgs
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.
use Google\ApiCore\ApiException;
use Google\Cloud\AIPlatform\V1\Client\JobServiceClient;
use Google\Cloud\AIPlatform\V1\CreateHyperparameterTuningJobRequest;
use Google\Cloud\AIPlatform\V1\CustomJobSpec;
use Google\Cloud\AIPlatform\V1\HyperparameterTuningJob;
use Google\Cloud\AIPlatform\V1\StudySpec;
use Google\Cloud\AIPlatform\V1\StudySpec\MetricSpec;
use Google\Cloud\AIPlatform\V1\StudySpec\MetricSpec\GoalType;
use Google\Cloud\AIPlatform\V1\StudySpec\ParameterSpec;
use Google\Cloud\AIPlatform\V1\WorkerPoolSpec;
/**
* @param string $formattedParent The resource name of the Location to create the
* HyperparameterTuningJob in. Format:
* `projects/{project}/locations/{location}`
* Please see {@see JobServiceClient::locationName()} for help formatting this field.
* @param string $hyperparameterTuningJobDisplayName The display name of the HyperparameterTuningJob.
* The name can be up to 128 characters long and can consist of any UTF-8
* characters.
* @param string $hyperparameterTuningJobStudySpecMetricsMetricId The ID of the metric. Must not contain whitespaces and must be
* unique amongst all MetricSpecs.
* @param int $hyperparameterTuningJobStudySpecMetricsGoal The optimization goal of the metric.
* @param string $hyperparameterTuningJobStudySpecParametersParameterId The ID of the parameter. Must not contain whitespaces and must
* be unique amongst all ParameterSpecs.
* @param int $hyperparameterTuningJobMaxTrialCount The desired total number of Trials.
* @param int $hyperparameterTuningJobParallelTrialCount The desired number of Trials to run in parallel.
*/
function create_hyperparameter_tuning_job_sample(
string $formattedParent,
string $hyperparameterTuningJobDisplayName,
string $hyperparameterTuningJobStudySpecMetricsMetricId,
int $hyperparameterTuningJobStudySpecMetricsGoal,
string $hyperparameterTuningJobStudySpecParametersParameterId,
int $hyperparameterTuningJobMaxTrialCount,
int $hyperparameterTuningJobParallelTrialCount
): void {
// Create a client.
$jobServiceClient = new JobServiceClient();
// Prepare the request message.
$metricSpec = (new MetricSpec())
->setMetricId($hyperparameterTuningJobStudySpecMetricsMetricId)
->setGoal($hyperparameterTuningJobStudySpecMetricsGoal);
$hyperparameterTuningJobStudySpecMetrics = [$metricSpec,];
$parameterSpec = (new ParameterSpec())
->setParameterId($hyperparameterTuningJobStudySpecParametersParameterId);
$hyperparameterTuningJobStudySpecParameters = [$parameterSpec,];
$hyperparameterTuningJobStudySpec = (new StudySpec())
->setMetrics($hyperparameterTuningJobStudySpecMetrics)
->setParameters($hyperparameterTuningJobStudySpecParameters);
$hyperparameterTuningJobTrialJobSpecWorkerPoolSpecs = [new WorkerPoolSpec()];
$hyperparameterTuningJobTrialJobSpec = (new CustomJobSpec())
->setWorkerPoolSpecs($hyperparameterTuningJobTrialJobSpecWorkerPoolSpecs);
$hyperparameterTuningJob = (new HyperparameterTuningJob())
->setDisplayName($hyperparameterTuningJobDisplayName)
->setStudySpec($hyperparameterTuningJobStudySpec)
->setMaxTrialCount($hyperparameterTuningJobMaxTrialCount)
->setParallelTrialCount($hyperparameterTuningJobParallelTrialCount)
->setTrialJobSpec($hyperparameterTuningJobTrialJobSpec);
$request = (new CreateHyperparameterTuningJobRequest())
->setParent($formattedParent)
->setHyperparameterTuningJob($hyperparameterTuningJob);
// Call the API and handle any network failures.
try {
/** @var HyperparameterTuningJob $response */
$response = $jobServiceClient->createHyperparameterTuningJob($request);
printf('Response data: %s' . PHP_EOL, $response->serializeToJsonString());
} catch (ApiException $ex) {
printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
}
}
/**
* This sample has been automatically generated and should be regarded as a code
* template only. It will require modifications to work:
* - It may require correct/in-range values for request initialization.
* - It may require specifying regional endpoints when creating the service client,
* please see the apiEndpoint client configuration option for more details.
*/
function callSample(): void
{
$formattedParent = JobServiceClient::locationName('[PROJECT]', '[LOCATION]');
$hyperparameterTuningJobDisplayName = '[DISPLAY_NAME]';
$hyperparameterTuningJobStudySpecMetricsMetricId = '[METRIC_ID]';
$hyperparameterTuningJobStudySpecMetricsGoal = GoalType::GOAL_TYPE_UNSPECIFIED;
$hyperparameterTuningJobStudySpecParametersParameterId = '[PARAMETER_ID]';
$hyperparameterTuningJobMaxTrialCount = 0;
$hyperparameterTuningJobParallelTrialCount = 0;
create_hyperparameter_tuning_job_sample(
$formattedParent,
$hyperparameterTuningJobDisplayName,
$hyperparameterTuningJobStudySpecMetricsMetricId,
$hyperparameterTuningJobStudySpecMetricsGoal,
$hyperparameterTuningJobStudySpecParametersParameterId,
$hyperparameterTuningJobMaxTrialCount,
$hyperparameterTuningJobParallelTrialCount
);
}
createModelDeploymentMonitoringJob
Creates a ModelDeploymentMonitoringJob. It will run periodically on a configured interval.
parent
string
Required. The parent of the ModelDeploymentMonitoringJob.
Format: projects/{project}/locations/{location}
modelDeploymentMonitoringJob
Google\Cloud\AIPlatform\V1\ModelDeploymentMonitoringJob
Required. The ModelDeploymentMonitoringJob to create
optionalArgs
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.
use Google\ApiCore\ApiException;
use Google\Cloud\AIPlatform\V1\Client\JobServiceClient;
use Google\Cloud\AIPlatform\V1\CreateModelDeploymentMonitoringJobRequest;
use Google\Cloud\AIPlatform\V1\ModelDeploymentMonitoringJob;
use Google\Cloud\AIPlatform\V1\ModelDeploymentMonitoringObjectiveConfig;
use Google\Cloud\AIPlatform\V1\ModelDeploymentMonitoringScheduleConfig;
use Google\Cloud\AIPlatform\V1\SamplingStrategy;
use Google\Protobuf\Duration;
/**
* @param string $formattedParent The parent of the ModelDeploymentMonitoringJob.
* Format: `projects/{project}/locations/{location}`
* Please see {@see JobServiceClient::locationName()} for help formatting this field.
* @param string $modelDeploymentMonitoringJobDisplayName The user-defined name of the ModelDeploymentMonitoringJob.
* The name can be up to 128 characters long and can consist of any UTF-8
* characters.
* Display name of a ModelDeploymentMonitoringJob.
* @param string $formattedModelDeploymentMonitoringJobEndpoint Endpoint resource name.
* Format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
* Please see {@see JobServiceClient::endpointName()} for help formatting this field.
*/
function create_model_deployment_monitoring_job_sample(
string $formattedParent,
string $modelDeploymentMonitoringJobDisplayName,
string $formattedModelDeploymentMonitoringJobEndpoint
): void {
// Create a client.
$jobServiceClient = new JobServiceClient();
// Prepare the request message.
$modelDeploymentMonitoringJobModelDeploymentMonitoringObjectiveConfigs = [
new ModelDeploymentMonitoringObjectiveConfig()
];
$modelDeploymentMonitoringJobModelDeploymentMonitoringScheduleConfigMonitorInterval = new Duration();
$modelDeploymentMonitoringJobModelDeploymentMonitoringScheduleConfig = (new ModelDeploymentMonitoringScheduleConfig())
->setMonitorInterval(
$modelDeploymentMonitoringJobModelDeploymentMonitoringScheduleConfigMonitorInterval
);
$modelDeploymentMonitoringJobLoggingSamplingStrategy = new SamplingStrategy();
$modelDeploymentMonitoringJob = (new ModelDeploymentMonitoringJob())
->setDisplayName($modelDeploymentMonitoringJobDisplayName)
->setEndpoint($formattedModelDeploymentMonitoringJobEndpoint)
->setModelDeploymentMonitoringObjectiveConfigs(
$modelDeploymentMonitoringJobModelDeploymentMonitoringObjectiveConfigs
)
->setModelDeploymentMonitoringScheduleConfig(
$modelDeploymentMonitoringJobModelDeploymentMonitoringScheduleConfig
)
->setLoggingSamplingStrategy($modelDeploymentMonitoringJobLoggingSamplingStrategy);
$request = (new CreateModelDeploymentMonitoringJobRequest())
->setParent($formattedParent)
->setModelDeploymentMonitoringJob($modelDeploymentMonitoringJob);
// Call the API and handle any network failures.
try {
/** @var ModelDeploymentMonitoringJob $response */
$response = $jobServiceClient->createModelDeploymentMonitoringJob($request);
printf('Response data: %s' . PHP_EOL, $response->serializeToJsonString());
} catch (ApiException $ex) {
printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
}
}
/**
* This sample has been automatically generated and should be regarded as a code
* template only. It will require modifications to work:
* - It may require correct/in-range values for request initialization.
* - It may require specifying regional endpoints when creating the service client,
* please see the apiEndpoint client configuration option for more details.
*/
function callSample(): void
{
$formattedParent = JobServiceClient::locationName('[PROJECT]', '[LOCATION]');
$modelDeploymentMonitoringJobDisplayName = '[DISPLAY_NAME]';
$formattedModelDeploymentMonitoringJobEndpoint = JobServiceClient::endpointName(
'[PROJECT]',
'[LOCATION]',
'[ENDPOINT]'
);
create_model_deployment_monitoring_job_sample(
$formattedParent,
$modelDeploymentMonitoringJobDisplayName,
$formattedModelDeploymentMonitoringJobEndpoint
);
}
createNasJob
Creates a NasJob
parent
string
Required. The resource name of the Location to create the NasJob in.
Format: projects/{project}/locations/{location}
nasJob
optionalArgs
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.
use Google\ApiCore\ApiException;
use Google\Cloud\AIPlatform\V1\Client\JobServiceClient;
use Google\Cloud\AIPlatform\V1\CreateNasJobRequest;
use Google\Cloud\AIPlatform\V1\NasJob;
use Google\Cloud\AIPlatform\V1\NasJobSpec;
/**
* @param string $formattedParent The resource name of the Location to create the NasJob in.
* Format: `projects/{project}/locations/{location}`
* Please see {@see JobServiceClient::locationName()} for help formatting this field.
* @param string $nasJobDisplayName The display name of the NasJob.
* The name can be up to 128 characters long and can consist of any UTF-8
* characters.
*/
function create_nas_job_sample(string $formattedParent, string $nasJobDisplayName): void
{
// Create a client.
$jobServiceClient = new JobServiceClient();
// Prepare the request message.
$nasJobNasJobSpec = new NasJobSpec();
$nasJob = (new NasJob())
->setDisplayName($nasJobDisplayName)
->setNasJobSpec($nasJobNasJobSpec);
$request = (new CreateNasJobRequest())
->setParent($formattedParent)
->setNasJob($nasJob);
// Call the API and handle any network failures.
try {
/** @var NasJob $response */
$response = $jobServiceClient->createNasJob($request);
printf('Response data: %s' . PHP_EOL, $response->serializeToJsonString());
} catch (ApiException $ex) {
printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
}
}
/**
* This sample has been automatically generated and should be regarded as a code
* template only. It will require modifications to work:
* - It may require correct/in-range values for request initialization.
* - It may require specifying regional endpoints when creating the service client,
* please see the apiEndpoint client configuration option for more details.
*/
function callSample(): void
{
$formattedParent = JobServiceClient::locationName('[PROJECT]', '[LOCATION]');
$nasJobDisplayName = '[DISPLAY_NAME]';
create_nas_job_sample($formattedParent, $nasJobDisplayName);
}
deleteBatchPredictionJob
Deletes a BatchPredictionJob. Can only be called on jobs that already finished.
name
string
Required. The name of the BatchPredictionJob resource to be deleted.
Format: projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}
optionalArgs
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.
use Google\ApiCore\ApiException;
use Google\ApiCore\OperationResponse;
use Google\Cloud\AIPlatform\V1\Client\JobServiceClient;
use Google\Cloud\AIPlatform\V1\DeleteBatchPredictionJobRequest;
use Google\Rpc\Status;
/**
* @param string $formattedName The name of the BatchPredictionJob resource to be deleted.
* Format:
* `projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}`
* Please see {@see JobServiceClient::batchPredictionJobName()} for help formatting this field.
*/
function delete_batch_prediction_job_sample(string $formattedName): void
{
// Create a client.
$jobServiceClient = new JobServiceClient();
// Prepare the request message.
$request = (new DeleteBatchPredictionJobRequest())
->setName($formattedName);
// Call the API and handle any network failures.
try {
/** @var OperationResponse $response */
$response = $jobServiceClient->deleteBatchPredictionJob($request);
$response->pollUntilComplete();
if ($response->operationSucceeded()) {
printf('Operation completed successfully.' . PHP_EOL);
} else {
/** @var Status $error */
$error = $response->getError();
printf('Operation failed with error data: %s' . PHP_EOL, $error->serializeToJsonString());
}
} catch (ApiException $ex) {
printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
}
}
/**
* This sample has been automatically generated and should be regarded as a code
* template only. It will require modifications to work:
* - It may require correct/in-range values for request initialization.
* - It may require specifying regional endpoints when creating the service client,
* please see the apiEndpoint client configuration option for more details.
*/
function callSample(): void
{
$formattedName = JobServiceClient::batchPredictionJobName(
'[PROJECT]',
'[LOCATION]',
'[BATCH_PREDICTION_JOB]'
);
delete_batch_prediction_job_sample($formattedName);
}
deleteCustomJob
Deletes a CustomJob.
name
string
Required. The name of the CustomJob resource to be deleted.
Format: projects/{project}/locations/{location}/customJobs/{custom_job}
optionalArgs
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.
use Google\ApiCore\ApiException;
use Google\ApiCore\OperationResponse;
use Google\Cloud\AIPlatform\V1\Client\JobServiceClient;
use Google\Cloud\AIPlatform\V1\DeleteCustomJobRequest;
use Google\Rpc\Status;
/**
* @param string $formattedName The name of the CustomJob resource to be deleted.
* Format:
* `projects/{project}/locations/{location}/customJobs/{custom_job}`
* Please see {@see JobServiceClient::customJobName()} for help formatting this field.
*/
function delete_custom_job_sample(string $formattedName): void
{
// Create a client.
$jobServiceClient = new JobServiceClient();
// Prepare the request message.
$request = (new DeleteCustomJobRequest())
->setName($formattedName);
// Call the API and handle any network failures.
try {
/** @var OperationResponse $response */
$response = $jobServiceClient->deleteCustomJob($request);
$response->pollUntilComplete();
if ($response->operationSucceeded()) {
printf('Operation completed successfully.' . PHP_EOL);
} else {
/** @var Status $error */
$error = $response->getError();
printf('Operation failed with error data: %s' . PHP_EOL, $error->serializeToJsonString());
}
} catch (ApiException $ex) {
printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
}
}
/**
* This sample has been automatically generated and should be regarded as a code
* template only. It will require modifications to work:
* - It may require correct/in-range values for request initialization.
* - It may require specifying regional endpoints when creating the service client,
* please see the apiEndpoint client configuration option for more details.
*/
function callSample(): void
{
$formattedName = JobServiceClient::customJobName('[PROJECT]', '[LOCATION]', '[CUSTOM_JOB]');
delete_custom_job_sample($formattedName);
}
deleteDataLabelingJob
Deletes a DataLabelingJob.
name
string
Required. The name of the DataLabelingJob to be deleted.
Format: projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}
optionalArgs
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.
use Google\ApiCore\ApiException;
use Google\ApiCore\OperationResponse;
use Google\Cloud\AIPlatform\V1\Client\JobServiceClient;
use Google\Cloud\AIPlatform\V1\DeleteDataLabelingJobRequest;
use Google\Rpc\Status;
/**
* @param string $formattedName The name of the DataLabelingJob to be deleted.
* Format:
* `projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}`
* Please see {@see JobServiceClient::dataLabelingJobName()} for help formatting this field.
*/
function delete_data_labeling_job_sample(string $formattedName): void
{
// Create a client.
$jobServiceClient = new JobServiceClient();
// Prepare the request message.
$request = (new DeleteDataLabelingJobRequest())
->setName($formattedName);
// Call the API and handle any network failures.
try {
/** @var OperationResponse $response */
$response = $jobServiceClient->deleteDataLabelingJob($request);
$response->pollUntilComplete();
if ($response->operationSucceeded()) {
printf('Operation completed successfully.' . PHP_EOL);
} else {
/** @var Status $error */
$error = $response->getError();
printf('Operation failed with error data: %s' . PHP_EOL, $error->serializeToJsonString());
}
} catch (ApiException $ex) {
printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
}
}
/**
* This sample has been automatically generated and should be regarded as a code
* template only. It will require modifications to work:
* - It may require correct/in-range values for request initialization.
* - It may require specifying regional endpoints when creating the service client,
* please see the apiEndpoint client configuration option for more details.
*/
function callSample(): void
{
$formattedName = JobServiceClient::dataLabelingJobName(
'[PROJECT]',
'[LOCATION]',
'[DATA_LABELING_JOB]'
);
delete_data_labeling_job_sample($formattedName);
}
deleteHyperparameterTuningJob
Deletes a HyperparameterTuningJob.
name
string
Required. The name of the HyperparameterTuningJob resource to be deleted.
Format: projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}
optionalArgs
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.
use Google\ApiCore\ApiException;
use Google\ApiCore\OperationResponse;
use Google\Cloud\AIPlatform\V1\Client\JobServiceClient;
use Google\Cloud\AIPlatform\V1\DeleteHyperparameterTuningJobRequest;
use Google\Rpc\Status;
/**
* @param string $formattedName The name of the HyperparameterTuningJob resource to be deleted.
* Format:
* `projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}`
* Please see {@see JobServiceClient::hyperparameterTuningJobName()} for help formatting this field.
*/
function delete_hyperparameter_tuning_job_sample(string $formattedName): void
{
// Create a client.
$jobServiceClient = new JobServiceClient();
// Prepare the request message.
$request = (new DeleteHyperparameterTuningJobRequest())
->setName($formattedName);
// Call the API and handle any network failures.
try {
/** @var OperationResponse $response */
$response = $jobServiceClient->deleteHyperparameterTuningJob($request);
$response->pollUntilComplete();
if ($response->operationSucceeded()) {
printf('Operation completed successfully.' . PHP_EOL);
} else {
/** @var Status $error */
$error = $response->getError();
printf('Operation failed with error data: %s' . PHP_EOL, $error->serializeToJsonString());
}
} catch (ApiException $ex) {
printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
}
}
/**
* This sample has been automatically generated and should be regarded as a code
* template only. It will require modifications to work:
* - It may require correct/in-range values for request initialization.
* - It may require specifying regional endpoints when creating the service client,
* please see the apiEndpoint client configuration option for more details.
*/
function callSample(): void
{
$formattedName = JobServiceClient::hyperparameterTuningJobName(
'[PROJECT]',
'[LOCATION]',
'[HYPERPARAMETER_TUNING_JOB]'
);
delete_hyperparameter_tuning_job_sample($formattedName);
}
deleteModelDeploymentMonitoringJob
Deletes a ModelDeploymentMonitoringJob.
name
string
Required. The resource name of the model monitoring job to delete.
Format: projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}
optionalArgs
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.
use Google\ApiCore\ApiException;
use Google\ApiCore\OperationResponse;
use Google\Cloud\AIPlatform\V1\Client\JobServiceClient;
use Google\Cloud\AIPlatform\V1\DeleteModelDeploymentMonitoringJobRequest;
use Google\Rpc\Status;
/**
* @param string $formattedName The resource name of the model monitoring job to delete.
* Format:
* `projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}`
* Please see {@see JobServiceClient::modelDeploymentMonitoringJobName()} for help formatting this field.
*/
function delete_model_deployment_monitoring_job_sample(string $formattedName): void
{
// Create a client.
$jobServiceClient = new JobServiceClient();
// Prepare the request message.
$request = (new DeleteModelDeploymentMonitoringJobRequest())
->setName($formattedName);
// Call the API and handle any network failures.
try {
/** @var OperationResponse $response */
$response = $jobServiceClient->deleteModelDeploymentMonitoringJob($request);
$response->pollUntilComplete();
if ($response->operationSucceeded()) {
printf('Operation completed successfully.' . PHP_EOL);
} else {
/** @var Status $error */
$error = $response->getError();
printf('Operation failed with error data: %s' . PHP_EOL, $error->serializeToJsonString());
}
} catch (ApiException $ex) {
printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
}
}
/**
* This sample has been automatically generated and should be regarded as a code
* template only. It will require modifications to work:
* - It may require correct/in-range values for request initialization.
* - It may require specifying regional endpoints when creating the service client,
* please see the apiEndpoint client configuration option for more details.
*/
function callSample(): void
{
$formattedName = JobServiceClient::modelDeploymentMonitoringJobName(
'[PROJECT]',
'[LOCATION]',
'[MODEL_DEPLOYMENT_MONITORING_JOB]'
);
delete_model_deployment_monitoring_job_sample($formattedName);
}
deleteNasJob
Deletes a NasJob.
name
string
Required. The name of the NasJob resource to be deleted.
Format: projects/{project}/locations/{location}/nasJobs/{nas_job}
optionalArgs
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.
use Google\ApiCore\ApiException;
use Google\ApiCore\OperationResponse;
use Google\Cloud\AIPlatform\V1\Client\JobServiceClient;
use Google\Cloud\AIPlatform\V1\DeleteNasJobRequest;
use Google\Rpc\Status;
/**
* @param string $formattedName The name of the NasJob resource to be deleted.
* Format:
* `projects/{project}/locations/{location}/nasJobs/{nas_job}`
* Please see {@see JobServiceClient::nasJobName()} for help formatting this field.
*/
function delete_nas_job_sample(string $formattedName): void
{
// Create a client.
$jobServiceClient = new JobServiceClient();
// Prepare the request message.
$request = (new DeleteNasJobRequest())
->setName($formattedName);
// Call the API and handle any network failures.
try {
/** @var OperationResponse $response */
$response = $jobServiceClient->deleteNasJob($request);
$response->pollUntilComplete();
if ($response->operationSucceeded()) {
printf('Operation completed successfully.' . PHP_EOL);
} else {
/** @var Status $error */
$error = $response->getError();
printf('Operation failed with error data: %s' . PHP_EOL, $error->serializeToJsonString());
}
} catch (ApiException $ex) {
printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
}
}
/**
* This sample has been automatically generated and should be regarded as a code
* template only. It will require modifications to work:
* - It may require correct/in-range values for request initialization.
* - It may require specifying regional endpoints when creating the service client,
* please see the apiEndpoint client configuration option for more details.
*/
function callSample(): void
{
$formattedName = JobServiceClient::nasJobName('[PROJECT]', '[LOCATION]', '[NAS_JOB]');
delete_nas_job_sample($formattedName);
}
getBatchPredictionJob
Gets a BatchPredictionJob
name
string
Required. The name of the BatchPredictionJob resource.
Format: projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}
optionalArgs
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.
use Google\ApiCore\ApiException;
use Google\Cloud\AIPlatform\V1\BatchPredictionJob;
use Google\Cloud\AIPlatform\V1\Client\JobServiceClient;
use Google\Cloud\AIPlatform\V1\GetBatchPredictionJobRequest;
/**
* @param string $formattedName The name of the BatchPredictionJob resource.
* Format:
* `projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}`
* Please see {@see JobServiceClient::batchPredictionJobName()} for help formatting this field.
*/
function get_batch_prediction_job_sample(string $formattedName): void
{
// Create a client.
$jobServiceClient = new JobServiceClient();
// Prepare the request message.
$request = (new GetBatchPredictionJobRequest())
->setName($formattedName);
// Call the API and handle any network failures.
try {
/** @var BatchPredictionJob $response */
$response = $jobServiceClient->getBatchPredictionJob($request);
printf('Response data: %s' . PHP_EOL, $response->serializeToJsonString());
} catch (ApiException $ex) {
printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
}
}
/**
* This sample has been automatically generated and should be regarded as a code
* template only. It will require modifications to work:
* - It may require correct/in-range values for request initialization.
* - It may require specifying regional endpoints when creating the service client,
* please see the apiEndpoint client configuration option for more details.
*/
function callSample(): void
{
$formattedName = JobServiceClient::batchPredictionJobName(
'[PROJECT]',
'[LOCATION]',
'[BATCH_PREDICTION_JOB]'
);
get_batch_prediction_job_sample($formattedName);
}
getCustomJob
Gets a CustomJob.
name
string
Required. The name of the CustomJob resource.
Format: projects/{project}/locations/{location}/customJobs/{custom_job}
optionalArgs
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.
use Google\ApiCore\ApiException;
use Google\Cloud\AIPlatform\V1\Client\JobServiceClient;
use Google\Cloud\AIPlatform\V1\CustomJob;
use Google\Cloud\AIPlatform\V1\GetCustomJobRequest;
/**
* @param string $formattedName The name of the CustomJob resource.
* Format:
* `projects/{project}/locations/{location}/customJobs/{custom_job}`
* Please see {@see JobServiceClient::customJobName()} for help formatting this field.
*/
function get_custom_job_sample(string $formattedName): void
{
// Create a client.
$jobServiceClient = new JobServiceClient();
// Prepare the request message.
$request = (new GetCustomJobRequest())
->setName($formattedName);
// Call the API and handle any network failures.
try {
/** @var CustomJob $response */
$response = $jobServiceClient->getCustomJob($request);
printf('Response data: %s' . PHP_EOL, $response->serializeToJsonString());
} catch (ApiException $ex) {
printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
}
}
/**
* This sample has been automatically generated and should be regarded as a code
* template only. It will require modifications to work:
* - It may require correct/in-range values for request initialization.
* - It may require specifying regional endpoints when creating the service client,
* please see the apiEndpoint client configuration option for more details.
*/
function callSample(): void
{
$formattedName = JobServiceClient::customJobName('[PROJECT]', '[LOCATION]', '[CUSTOM_JOB]');
get_custom_job_sample($formattedName);
}
getDataLabelingJob
Gets a DataLabelingJob.
name
string
Required. The name of the DataLabelingJob.
Format: projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}
optionalArgs
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.
use Google\ApiCore\ApiException;
use Google\Cloud\AIPlatform\V1\Client\JobServiceClient;
use Google\Cloud\AIPlatform\V1\DataLabelingJob;
use Google\Cloud\AIPlatform\V1\GetDataLabelingJobRequest;
/**
* @param string $formattedName The name of the DataLabelingJob.
* Format:
* `projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}`
* Please see {@see JobServiceClient::dataLabelingJobName()} for help formatting this field.
*/
function get_data_labeling_job_sample(string $formattedName): void
{
// Create a client.
$jobServiceClient = new JobServiceClient();
// Prepare the request message.
$request = (new GetDataLabelingJobRequest())
->setName($formattedName);
// Call the API and handle any network failures.
try {
/** @var DataLabelingJob $response */
$response = $jobServiceClient->getDataLabelingJob($request);
printf('Response data: %s' . PHP_EOL, $response->serializeToJsonString());
} catch (ApiException $ex) {
printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
}
}
/**
* This sample has been automatically generated and should be regarded as a code
* template only. It will require modifications to work:
* - It may require correct/in-range values for request initialization.
* - It may require specifying regional endpoints when creating the service client,
* please see the apiEndpoint client configuration option for more details.
*/
function callSample(): void
{
$formattedName = JobServiceClient::dataLabelingJobName(
'[PROJECT]',
'[LOCATION]',
'[DATA_LABELING_JOB]'
);
get_data_labeling_job_sample($formattedName);
}
getHyperparameterTuningJob
Gets a HyperparameterTuningJob
name
string
Required. The name of the HyperparameterTuningJob resource.
Format: projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}
optionalArgs
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.
use Google\ApiCore\ApiException;
use Google\Cloud\AIPlatform\V1\Client\JobServiceClient;
use Google\Cloud\AIPlatform\V1\GetHyperparameterTuningJobRequest;
use Google\Cloud\AIPlatform\V1\HyperparameterTuningJob;
/**
* @param string $formattedName The name of the HyperparameterTuningJob resource.
* Format:
* `projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}`
* Please see {@see JobServiceClient::hyperparameterTuningJobName()} for help formatting this field.
*/
function get_hyperparameter_tuning_job_sample(string $formattedName): void
{
// Create a client.
$jobServiceClient = new JobServiceClient();
// Prepare the request message.
$request = (new GetHyperparameterTuningJobRequest())
->setName($formattedName);
// Call the API and handle any network failures.
try {
/** @var HyperparameterTuningJob $response */
$response = $jobServiceClient->getHyperparameterTuningJob($request);
printf('Response data: %s' . PHP_EOL, $response->serializeToJsonString());
} catch (ApiException $ex) {
printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
}
}
/**
* This sample has been automatically generated and should be regarded as a code
* template only. It will require modifications to work:
* - It may require correct/in-range values for request initialization.
* - It may require specifying regional endpoints when creating the service client,
* please see the apiEndpoint client configuration option for more details.
*/
function callSample(): void
{
$formattedName = JobServiceClient::hyperparameterTuningJobName(
'[PROJECT]',
'[LOCATION]',
'[HYPERPARAMETER_TUNING_JOB]'
);
get_hyperparameter_tuning_job_sample($formattedName);
}
getModelDeploymentMonitoringJob
Gets a ModelDeploymentMonitoringJob.
name
string
Required. The resource name of the ModelDeploymentMonitoringJob.
Format: projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}
optionalArgs
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.
use Google\ApiCore\ApiException;
use Google\Cloud\AIPlatform\V1\Client\JobServiceClient;
use Google\Cloud\AIPlatform\V1\GetModelDeploymentMonitoringJobRequest;
use Google\Cloud\AIPlatform\V1\ModelDeploymentMonitoringJob;
/**
* @param string $formattedName The resource name of the ModelDeploymentMonitoringJob.
* Format:
* `projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}`
* Please see {@see JobServiceClient::modelDeploymentMonitoringJobName()} for help formatting this field.
*/
function get_model_deployment_monitoring_job_sample(string $formattedName): void
{
// Create a client.
$jobServiceClient = new JobServiceClient();
// Prepare the request message.
$request = (new GetModelDeploymentMonitoringJobRequest())
->setName($formattedName);
// Call the API and handle any network failures.
try {
/** @var ModelDeploymentMonitoringJob $response */
$response = $jobServiceClient->getModelDeploymentMonitoringJob($request);
printf('Response data: %s' . PHP_EOL, $response->serializeToJsonString());
} catch (ApiException $ex) {
printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
}
}
/**
* This sample has been automatically generated and should be regarded as a code
* template only. It will require modifications to work:
* - It may require correct/in-range values for request initialization.
* - It may require specifying regional endpoints when creating the service client,
* please see the apiEndpoint client configuration option for more details.
*/
function callSample(): void
{
$formattedName = JobServiceClient::modelDeploymentMonitoringJobName(
'[PROJECT]',
'[LOCATION]',
'[MODEL_DEPLOYMENT_MONITORING_JOB]'
);
get_model_deployment_monitoring_job_sample($formattedName);
}
getNasJob
Gets a NasJob
name
string
Required. The name of the NasJob resource.
Format: projects/{project}/locations/{location}/nasJobs/{nas_job}
optionalArgs
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.
use Google\ApiCore\ApiException;
use Google\Cloud\AIPlatform\V1\Client\JobServiceClient;
use Google\Cloud\AIPlatform\V1\GetNasJobRequest;
use Google\Cloud\AIPlatform\V1\NasJob;
/**
* @param string $formattedName The name of the NasJob resource.
* Format:
* `projects/{project}/locations/{location}/nasJobs/{nas_job}`
* Please see {@see JobServiceClient::nasJobName()} for help formatting this field.
*/
function get_nas_job_sample(string $formattedName): void
{
// Create a client.
$jobServiceClient = new JobServiceClient();
// Prepare the request message.
$request = (new GetNasJobRequest())
->setName($formattedName);
// Call the API and handle any network failures.
try {
/** @var NasJob $response */
$response = $jobServiceClient->getNasJob($request);
printf('Response data: %s' . PHP_EOL, $response->serializeToJsonString());
} catch (ApiException $ex) {
printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
}
}
/**
* This sample has been automatically generated and should be regarded as a code
* template only. It will require modifications to work:
* - It may require correct/in-range values for request initialization.
* - It may require specifying regional endpoints when creating the service client,
* please see the apiEndpoint client configuration option for more details.
*/
function callSample(): void
{
$formattedName = JobServiceClient::nasJobName('[PROJECT]', '[LOCATION]', '[NAS_JOB]');
get_nas_job_sample($formattedName);
}
getNasTrialDetail
Gets a NasTrialDetail.
name
string
Required. The name of the NasTrialDetail resource.
Format: projects/{project}/locations/{location}/nasJobs/{nas_job}/nasTrialDetails/{nas_trial_detail}
optionalArgs
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.
use Google\ApiCore\ApiException;
use Google\Cloud\AIPlatform\V1\Client\JobServiceClient;
use Google\Cloud\AIPlatform\V1\GetNasTrialDetailRequest;
use Google\Cloud\AIPlatform\V1\NasTrialDetail;
/**
* @param string $formattedName The name of the NasTrialDetail resource.
* Format:
* `projects/{project}/locations/{location}/nasJobs/{nas_job}/nasTrialDetails/{nas_trial_detail}`
* Please see {@see JobServiceClient::nasTrialDetailName()} for help formatting this field.
*/
function get_nas_trial_detail_sample(string $formattedName): void
{
// Create a client.
$jobServiceClient = new JobServiceClient();
// Prepare the request message.
$request = (new GetNasTrialDetailRequest())
->setName($formattedName);
// Call the API and handle any network failures.
try {
/** @var NasTrialDetail $response */
$response = $jobServiceClient->getNasTrialDetail($request);
printf('Response data: %s' . PHP_EOL, $response->serializeToJsonString());
} catch (ApiException $ex) {
printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
}
}
/**
* This sample has been automatically generated and should be regarded as a code
* template only. It will require modifications to work:
* - It may require correct/in-range values for request initialization.
* - It may require specifying regional endpoints when creating the service client,
* please see the apiEndpoint client configuration option for more details.
*/
function callSample(): void
{
$formattedName = JobServiceClient::nasTrialDetailName(
'[PROJECT]',
'[LOCATION]',
'[NAS_JOB]',
'[NAS_TRIAL_DETAIL]'
);
get_nas_trial_detail_sample($formattedName);
}
listBatchPredictionJobs
Lists BatchPredictionJobs in a Location.
parent
string
Required. The resource name of the Location to list the BatchPredictionJobs
from. Format: projects/{project}/locations/{location}
optionalArgs
array
Optional.
↳ filter
string
The standard list filter. Supported fields: * display_name
supports =
, !=
comparisons, and :
wildcard. * model_display_name
supports =
, !=
comparisons. * state
supports =
, !=
comparisons. * create_time
supports =
, !=
, <
, <=
, >
, >=
comparisons. create_time
must be in RFC 3339 format. * labels
supports general map functions that is: labels.key=value
- key:value equality labels.key:* - key existence Some examples of using the filter are: *
state="JOB_STATE_SUCCEEDED" AND display_name:"my_job_ " *
state!="JOB_STATE_FAILED" OR display_name="my_job" *
NOT display_name="my_job" *
create_time>"2021-05-18T00:00:00Z" *
labels.keyA=valueA *
labels.keyB:
`
↳ pageSize
int
The maximum number of resources contained in the underlying API response. The API may return fewer values in a page, even if there are additional values to be retrieved.
↳ pageToken
string
A page token is used to specify a page of values to be returned. If no page token is specified (the default), the first page of values will be returned. Any page token used here must have been generated by a previous call to the API.
↳ readMask
FieldMask
Mask specifying which fields to read.
↳ 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.
use Google\ApiCore\ApiException;
use Google\ApiCore\PagedListResponse;
use Google\Cloud\AIPlatform\V1\BatchPredictionJob;
use Google\Cloud\AIPlatform\V1\Client\JobServiceClient;
use Google\Cloud\AIPlatform\V1\ListBatchPredictionJobsRequest;
/**
* @param string $formattedParent The resource name of the Location to list the BatchPredictionJobs
* from. Format: `projects/{project}/locations/{location}`
* Please see {@see JobServiceClient::locationName()} for help formatting this field.
*/
function list_batch_prediction_jobs_sample(string $formattedParent): void
{
// Create a client.
$jobServiceClient = new JobServiceClient();
// Prepare the request message.
$request = (new ListBatchPredictionJobsRequest())
->setParent($formattedParent);
// Call the API and handle any network failures.
try {
/** @var PagedListResponse $response */
$response = $jobServiceClient->listBatchPredictionJobs($request);
/** @var BatchPredictionJob $element */
foreach ($response as $element) {
printf('Element data: %s' . PHP_EOL, $element->serializeToJsonString());
}
} catch (ApiException $ex) {
printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
}
}
/**
* This sample has been automatically generated and should be regarded as a code
* template only. It will require modifications to work:
* - It may require correct/in-range values for request initialization.
* - It may require specifying regional endpoints when creating the service client,
* please see the apiEndpoint client configuration option for more details.
*/
function callSample(): void
{
$formattedParent = JobServiceClient::locationName('[PROJECT]', '[LOCATION]');
list_batch_prediction_jobs_sample($formattedParent);
}
listCustomJobs
Lists CustomJobs in a Location.
parent
string
Required. The resource name of the Location to list the CustomJobs from.
Format: projects/{project}/locations/{location}
optionalArgs
array
Optional.
↳ filter
string
The standard list filter. Supported fields: * display_name
supports =
, !=
comparisons, and :
wildcard. * state
supports =
, !=
comparisons. * create_time
supports =
, !=
, <
, <=
, >
, >=
comparisons. create_time
must be in RFC 3339 format. * labels
supports general map functions that is: labels.key=value
- key:value equality labels.key:* - key existence Some examples of using the filter are: *
state="JOB_STATE_SUCCEEDED" AND display_name:"my_job_ " *
state!="JOB_STATE_FAILED" OR display_name="my_job" *
NOT display_name="my_job" *
create_time>"2021-05-18T00:00:00Z" *
labels.keyA=valueA *
labels.keyB:
`
↳ pageSize
int
The maximum number of resources contained in the underlying API response. The API may return fewer values in a page, even if there are additional values to be retrieved.
↳ pageToken
string
A page token is used to specify a page of values to be returned. If no page token is specified (the default), the first page of values will be returned. Any page token used here must have been generated by a previous call to the API.
↳ readMask
FieldMask
Mask specifying which fields to read.
↳ 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.
use Google\ApiCore\ApiException;
use Google\ApiCore\PagedListResponse;
use Google\Cloud\AIPlatform\V1\Client\JobServiceClient;
use Google\Cloud\AIPlatform\V1\CustomJob;
use Google\Cloud\AIPlatform\V1\ListCustomJobsRequest;
/**
* @param string $formattedParent The resource name of the Location to list the CustomJobs from.
* Format: `projects/{project}/locations/{location}`
* Please see {@see JobServiceClient::locationName()} for help formatting this field.
*/
function list_custom_jobs_sample(string $formattedParent): void
{
// Create a client.
$jobServiceClient = new JobServiceClient();
// Prepare the request message.
$request = (new ListCustomJobsRequest())
->setParent($formattedParent);
// Call the API and handle any network failures.
try {
/** @var PagedListResponse $response */
$response = $jobServiceClient->listCustomJobs($request);
/** @var CustomJob $element */
foreach ($response as $element) {
printf('Element data: %s' . PHP_EOL, $element->serializeToJsonString());
}
} catch (ApiException $ex) {
printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
}
}
/**
* This sample has been automatically generated and should be regarded as a code
* template only. It will require modifications to work:
* - It may require correct/in-range values for request initialization.
* - It may require specifying regional endpoints when creating the service client,
* please see the apiEndpoint client configuration option for more details.
*/
function callSample(): void
{
$formattedParent = JobServiceClient::locationName('[PROJECT]', '[LOCATION]');
list_custom_jobs_sample($formattedParent);
}
listDataLabelingJobs
Lists DataLabelingJobs in a Location.
parent
string
Required. The parent of the DataLabelingJob.
Format: projects/{project}/locations/{location}
optionalArgs
array
Optional.
↳ filter
string
The standard list filter. Supported fields: * display_name
supports =
, !=
comparisons, and :
wildcard. * state
supports =
, !=
comparisons. * create_time
supports =
, !=
, <
, <=
, >
, >=
comparisons. create_time
must be in RFC 3339 format. * labels
supports general map functions that is: labels.key=value
- key:value equality labels.key:* - key existence Some examples of using the filter are: *
state="JOB_STATE_SUCCEEDED" AND display_name:"my_job_ " *
state!="JOB_STATE_FAILED" OR display_name="my_job" *
NOT display_name="my_job" *
create_time>"2021-05-18T00:00:00Z" *
labels.keyA=valueA *
labels.keyB:
`
↳ pageSize
int
The maximum number of resources contained in the underlying API response. The API may return fewer values in a page, even if there are additional values to be retrieved.
↳ pageToken
string
A page token is used to specify a page of values to be returned. If no page token is specified (the default), the first page of values will be returned. Any page token used here must have been generated by a previous call to the API.
↳ readMask
FieldMask
Mask specifying which fields to read. FieldMask represents a set of symbolic field paths. For example, the mask can be paths: "name"
. The "name" here is a field in DataLabelingJob. If this field is not set, all fields of the DataLabelingJob are returned.
↳ orderBy
string
A comma-separated list of fields to order by, sorted in ascending order by default. Use desc
after a field name for descending.
↳ 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.
use Google\ApiCore\ApiException;
use Google\ApiCore\PagedListResponse;
use Google\Cloud\AIPlatform\V1\Client\JobServiceClient;
use Google\Cloud\AIPlatform\V1\DataLabelingJob;
use Google\Cloud\AIPlatform\V1\ListDataLabelingJobsRequest;
/**
* @param string $formattedParent The parent of the DataLabelingJob.
* Format: `projects/{project}/locations/{location}`
* Please see {@see JobServiceClient::locationName()} for help formatting this field.
*/
function list_data_labeling_jobs_sample(string $formattedParent): void
{
// Create a client.
$jobServiceClient = new JobServiceClient();
// Prepare the request message.
$request = (new ListDataLabelingJobsRequest())
->setParent($formattedParent);
// Call the API and handle any network failures.
try {
/** @var PagedListResponse $response */
$response = $jobServiceClient->listDataLabelingJobs($request);
/** @var DataLabelingJob $element */
foreach ($response as $element) {
printf('Element data: %s' . PHP_EOL, $element->serializeToJsonString());
}
} catch (ApiException $ex) {
printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
}
}
/**
* This sample has been automatically generated and should be regarded as a code
* template only. It will require modifications to work:
* - It may require correct/in-range values for request initialization.
* - It may require specifying regional endpoints when creating the service client,
* please see the apiEndpoint client configuration option for more details.
*/
function callSample(): void
{
$formattedParent = JobServiceClient::locationName('[PROJECT]', '[LOCATION]');
list_data_labeling_jobs_sample($formattedParent);
}
listHyperparameterTuningJobs
Lists HyperparameterTuningJobs in a Location.
parent
string
Required. The resource name of the Location to list the
HyperparameterTuningJobs from. Format: projects/{project}/locations/{location}
optionalArgs
array
Optional.
↳ filter
string
The standard list filter. Supported fields: * display_name
supports =
, !=
comparisons, and :
wildcard. * state
supports =
, !=
comparisons. * create_time
supports =
, !=
, <
, <=
, >
, >=
comparisons. create_time
must be in RFC 3339 format. * labels
supports general map functions that is: labels.key=value
- key:value equality labels.key:* - key existence Some examples of using the filter are: *
state="JOB_STATE_SUCCEEDED" AND display_name:"my_job_ " *
state!="JOB_STATE_FAILED" OR display_name="my_job" *
NOT display_name="my_job" *
create_time>"2021-05-18T00:00:00Z" *
labels.keyA=valueA *
labels.keyB:
`
↳ pageSize
int
The maximum number of resources contained in the underlying API response. The API may return fewer values in a page, even if there are additional values to be retrieved.
↳ pageToken
string
A page token is used to specify a page of values to be returned. If no page token is specified (the default), the first page of values will be returned. Any page token used here must have been generated by a previous call to the API.
↳ readMask
FieldMask
Mask specifying which fields to read.
↳ 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.
use Google\ApiCore\ApiException;
use Google\ApiCore\PagedListResponse;
use Google\Cloud\AIPlatform\V1\Client\JobServiceClient;
use Google\Cloud\AIPlatform\V1\HyperparameterTuningJob;
use Google\Cloud\AIPlatform\V1\ListHyperparameterTuningJobsRequest;
/**
* @param string $formattedParent The resource name of the Location to list the
* HyperparameterTuningJobs from. Format:
* `projects/{project}/locations/{location}`
* Please see {@see JobServiceClient::locationName()} for help formatting this field.
*/
function list_hyperparameter_tuning_jobs_sample(string $formattedParent): void
{
// Create a client.
$jobServiceClient = new JobServiceClient();
// Prepare the request message.
$request = (new ListHyperparameterTuningJobsRequest())
->setParent($formattedParent);
// Call the API and handle any network failures.
try {
/** @var PagedListResponse $response */
$response = $jobServiceClient->listHyperparameterTuningJobs($request);
/** @var HyperparameterTuningJob $element */
foreach ($response as $element) {
printf('Element data: %s' . PHP_EOL, $element->serializeToJsonString());
}
} catch (ApiException $ex) {
printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
}
}
/**
* This sample has been automatically generated and should be regarded as a code
* template only. It will require modifications to work:
* - It may require correct/in-range values for request initialization.
* - It may require specifying regional endpoints when creating the service client,
* please see the apiEndpoint client configuration option for more details.
*/
function callSample(): void
{
$formattedParent = JobServiceClient::locationName('[PROJECT]', '[LOCATION]');
list_hyperparameter_tuning_jobs_sample($formattedParent);
}
listModelDeploymentMonitoringJobs
Lists ModelDeploymentMonitoringJobs in a Location.
parent
string
Required. The parent of the ModelDeploymentMonitoringJob.
Format: projects/{project}/locations/{location}
optionalArgs
array
Optional.
↳ filter
string
The standard list filter. Supported fields: * display_name
supports =
, !=
comparisons, and :
wildcard. * state
supports =
, !=
comparisons. * create_time
supports =
, !=
, <
, <=
, >
, >=
comparisons. create_time
must be in RFC 3339 format. * labels
supports general map functions that is: labels.key=value
- key:value equality labels.key:* - key existence Some examples of using the filter are: *
state="JOB_STATE_SUCCEEDED" AND display_name:"my_job_ " *
state!="JOB_STATE_FAILED" OR display_name="my_job" *
NOT display_name="my_job" *
create_time>"2021-05-18T00:00:00Z" *
labels.keyA=valueA *
labels.keyB:
`
↳ pageSize
int
The maximum number of resources contained in the underlying API response. The API may return fewer values in a page, even if there are additional values to be retrieved.
↳ pageToken
string
A page token is used to specify a page of values to be returned. If no page token is specified (the default), the first page of values will be returned. Any page token used here must have been generated by a previous call to the API.
↳ readMask
FieldMask
Mask specifying which fields to read
↳ 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.
use Google\ApiCore\ApiException;
use Google\ApiCore\PagedListResponse;
use Google\Cloud\AIPlatform\V1\Client\JobServiceClient;
use Google\Cloud\AIPlatform\V1\ListModelDeploymentMonitoringJobsRequest;
use Google\Cloud\AIPlatform\V1\ModelDeploymentMonitoringJob;
/**
* @param string $formattedParent The parent of the ModelDeploymentMonitoringJob.
* Format: `projects/{project}/locations/{location}`
* Please see {@see JobServiceClient::locationName()} for help formatting this field.
*/
function list_model_deployment_monitoring_jobs_sample(string $formattedParent): void
{
// Create a client.
$jobServiceClient = new JobServiceClient();
// Prepare the request message.
$request = (new ListModelDeploymentMonitoringJobsRequest())
->setParent($formattedParent);
// Call the API and handle any network failures.
try {
/** @var PagedListResponse $response */
$response = $jobServiceClient->listModelDeploymentMonitoringJobs($request);
/** @var ModelDeploymentMonitoringJob $element */
foreach ($response as $element) {
printf('Element data: %s' . PHP_EOL, $element->serializeToJsonString());
}
} catch (ApiException $ex) {
printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
}
}
/**
* This sample has been automatically generated and should be regarded as a code
* template only. It will require modifications to work:
* - It may require correct/in-range values for request initialization.
* - It may require specifying regional endpoints when creating the service client,
* please see the apiEndpoint client configuration option for more details.
*/
function callSample(): void
{
$formattedParent = JobServiceClient::locationName('[PROJECT]', '[LOCATION]');
list_model_deployment_monitoring_jobs_sample($formattedParent);
}
listNasJobs
Lists NasJobs in a Location.
parent
string
Required. The resource name of the Location to list the NasJobs
from. Format: projects/{project}/locations/{location}
optionalArgs
array
Optional.
↳ filter
string
The standard list filter. Supported fields: * display_name
supports =
, !=
comparisons, and :
wildcard. * state
supports =
, !=
comparisons. * create_time
supports =
, !=
, <
, <=
, >
, >=
comparisons. create_time
must be in RFC 3339 format. * labels
supports general map functions that is: labels.key=value
- key:value equality labels.key:* - key existence Some examples of using the filter are: *
state="JOB_STATE_SUCCEEDED" AND display_name:"my_job_ " *
state!="JOB_STATE_FAILED" OR display_name="my_job" *
NOT display_name="my_job" *
create_time>"2021-05-18T00:00:00Z" *
labels.keyA=valueA *
labels.keyB:
`
↳ pageSize
int
The maximum number of resources contained in the underlying API response. The API may return fewer values in a page, even if there are additional values to be retrieved.
↳ pageToken
string
A page token is used to specify a page of values to be returned. If no page token is specified (the default), the first page of values will be returned. Any page token used here must have been generated by a previous call to the API.
↳ readMask
FieldMask
Mask specifying which fields to read.
↳ 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.
use Google\ApiCore\ApiException;
use Google\ApiCore\PagedListResponse;
use Google\Cloud\AIPlatform\V1\Client\JobServiceClient;
use Google\Cloud\AIPlatform\V1\ListNasJobsRequest;
use Google\Cloud\AIPlatform\V1\NasJob;
/**
* @param string $formattedParent The resource name of the Location to list the NasJobs
* from. Format: `projects/{project}/locations/{location}`
* Please see {@see JobServiceClient::locationName()} for help formatting this field.
*/
function list_nas_jobs_sample(string $formattedParent): void
{
// Create a client.
$jobServiceClient = new JobServiceClient();
// Prepare the request message.
$request = (new ListNasJobsRequest())
->setParent($formattedParent);
// Call the API and handle any network failures.
try {
/** @var PagedListResponse $response */
$response = $jobServiceClient->listNasJobs($request);
/** @var NasJob $element */
foreach ($response as $element) {
printf('Element data: %s' . PHP_EOL, $element->serializeToJsonString());
}
} catch (ApiException $ex) {
printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
}
}
/**
* This sample has been automatically generated and should be regarded as a code
* template only. It will require modifications to work:
* - It may require correct/in-range values for request initialization.
* - It may require specifying regional endpoints when creating the service client,
* please see the apiEndpoint client configuration option for more details.
*/
function callSample(): void
{
$formattedParent = JobServiceClient::locationName('[PROJECT]', '[LOCATION]');
list_nas_jobs_sample($formattedParent);
}
listNasTrialDetails
List top NasTrialDetails of a NasJob.
parent
string
Required. The name of the NasJob resource.
Format: projects/{project}/locations/{location}/nasJobs/{nas_job}
optionalArgs
array
Optional.
↳ pageSize
int
The maximum number of resources contained in the underlying API response. The API may return fewer values in a page, even if there are additional values to be retrieved.
↳ pageToken
string
A page token is used to specify a page of values to be returned. If no page token is specified (the default), the first page of values will be returned. Any page token used here must have been generated by a previous call to the API.
↳ 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.
use Google\ApiCore\ApiException;
use Google\ApiCore\PagedListResponse;
use Google\Cloud\AIPlatform\V1\Client\JobServiceClient;
use Google\Cloud\AIPlatform\V1\ListNasTrialDetailsRequest;
use Google\Cloud\AIPlatform\V1\NasTrialDetail;
/**
* @param string $formattedParent The name of the NasJob resource.
* Format:
* `projects/{project}/locations/{location}/nasJobs/{nas_job}`
* Please see {@see JobServiceClient::nasJobName()} for help formatting this field.
*/
function list_nas_trial_details_sample(string $formattedParent): void
{
// Create a client.
$jobServiceClient = new JobServiceClient();
// Prepare the request message.
$request = (new ListNasTrialDetailsRequest())
->setParent($formattedParent);
// Call the API and handle any network failures.
try {
/** @var PagedListResponse $response */
$response = $jobServiceClient->listNasTrialDetails($request);
/** @var NasTrialDetail $element */
foreach ($response as $element) {
printf('Element data: %s' . PHP_EOL, $element->serializeToJsonString());
}
} catch (ApiException $ex) {
printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
}
}
/**
* This sample has been automatically generated and should be regarded as a code
* template only. It will require modifications to work:
* - It may require correct/in-range values for request initialization.
* - It may require specifying regional endpoints when creating the service client,
* please see the apiEndpoint client configuration option for more details.
*/
function callSample(): void
{
$formattedParent = JobServiceClient::nasJobName('[PROJECT]', '[LOCATION]', '[NAS_JOB]');
list_nas_trial_details_sample($formattedParent);
}
pauseModelDeploymentMonitoringJob
Pauses a ModelDeploymentMonitoringJob. If the job is running, the server makes a best effort to cancel the job. Will mark ModelDeploymentMonitoringJob.state to 'PAUSED'.
name
string
Required. The resource name of the ModelDeploymentMonitoringJob to pause.
Format: projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}
optionalArgs
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.
use Google\ApiCore\ApiException;
use Google\Cloud\AIPlatform\V1\Client\JobServiceClient;
use Google\Cloud\AIPlatform\V1\PauseModelDeploymentMonitoringJobRequest;
/**
* @param string $formattedName The resource name of the ModelDeploymentMonitoringJob to pause.
* Format:
* `projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}`
* Please see {@see JobServiceClient::modelDeploymentMonitoringJobName()} for help formatting this field.
*/
function pause_model_deployment_monitoring_job_sample(string $formattedName): void
{
// Create a client.
$jobServiceClient = new JobServiceClient();
// Prepare the request message.
$request = (new PauseModelDeploymentMonitoringJobRequest())
->setName($formattedName);
// Call the API and handle any network failures.
try {
$jobServiceClient->pauseModelDeploymentMonitoringJob($request);
printf('Call completed successfully.' . PHP_EOL);
} catch (ApiException $ex) {
printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
}
}
/**
* This sample has been automatically generated and should be regarded as a code
* template only. It will require modifications to work:
* - It may require correct/in-range values for request initialization.
* - It may require specifying regional endpoints when creating the service client,
* please see the apiEndpoint client configuration option for more details.
*/
function callSample(): void
{
$formattedName = JobServiceClient::modelDeploymentMonitoringJobName(
'[PROJECT]',
'[LOCATION]',
'[MODEL_DEPLOYMENT_MONITORING_JOB]'
);
pause_model_deployment_monitoring_job_sample($formattedName);
}
resumeModelDeploymentMonitoringJob
Resumes a paused ModelDeploymentMonitoringJob. It will start to run from next scheduled time. A deleted ModelDeploymentMonitoringJob can't be resumed.
name
string
Required. The resource name of the ModelDeploymentMonitoringJob to resume.
Format: projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}
optionalArgs
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.
use Google\ApiCore\ApiException;
use Google\Cloud\AIPlatform\V1\Client\JobServiceClient;
use Google\Cloud\AIPlatform\V1\ResumeModelDeploymentMonitoringJobRequest;
/**
* @param string $formattedName The resource name of the ModelDeploymentMonitoringJob to resume.
* Format:
* `projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}`
* Please see {@see JobServiceClient::modelDeploymentMonitoringJobName()} for help formatting this field.
*/
function resume_model_deployment_monitoring_job_sample(string $formattedName): void
{
// Create a client.
$jobServiceClient = new JobServiceClient();
// Prepare the request message.
$request = (new ResumeModelDeploymentMonitoringJobRequest())
->setName($formattedName);
// Call the API and handle any network failures.
try {
$jobServiceClient->resumeModelDeploymentMonitoringJob($request);
printf('Call completed successfully.' . PHP_EOL);
} catch (ApiException $ex) {
printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
}
}
/**
* This sample has been automatically generated and should be regarded as a code
* template only. It will require modifications to work:
* - It may require correct/in-range values for request initialization.
* - It may require specifying regional endpoints when creating the service client,
* please see the apiEndpoint client configuration option for more details.
*/
function callSample(): void
{
$formattedName = JobServiceClient::modelDeploymentMonitoringJobName(
'[PROJECT]',
'[LOCATION]',
'[MODEL_DEPLOYMENT_MONITORING_JOB]'
);
resume_model_deployment_monitoring_job_sample($formattedName);
}
searchModelDeploymentMonitoringStatsAnomalies
Searches Model Monitoring Statistics generated within a given time window.
modelDeploymentMonitoringJob
string
Required. ModelDeploymentMonitoring Job resource name.
Format: projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}
deployedModelId
string
Required. The DeployedModel ID of the [ModelDeploymentMonitoringObjectiveConfig.deployed_model_id].
objectives
array< Google\Cloud\AIPlatform\V1\SearchModelDeploymentMonitoringStatsAnomaliesRequest\StatsAnomaliesObjective
>
Required. Objectives of the stats to retrieve.
optionalArgs
array
Optional.
↳ featureDisplayName
string
The feature display name. If specified, only return the stats belonging to this feature. Format: ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.feature_display_name , example: "user_destination".
↳ pageSize
int
The maximum number of resources contained in the underlying API response. The API may return fewer values in a page, even if there are additional values to be retrieved.
↳ pageToken
string
A page token is used to specify a page of values to be returned. If no page token is specified (the default), the first page of values will be returned. Any page token used here must have been generated by a previous call to the API.
↳ startTime
Timestamp
The earliest timestamp of stats being generated. If not set, indicates fetching stats till the earliest possible one.
↳ endTime
Timestamp
The latest timestamp of stats being generated. If not set, indicates feching stats till the latest possible one.
↳ 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.
use Google\ApiCore\ApiException;
use Google\ApiCore\PagedListResponse;
use Google\Cloud\AIPlatform\V1\Client\JobServiceClient;
use Google\Cloud\AIPlatform\V1\ModelMonitoringStatsAnomalies;
use Google\Cloud\AIPlatform\V1\SearchModelDeploymentMonitoringStatsAnomaliesRequest;
use Google\Cloud\AIPlatform\V1\SearchModelDeploymentMonitoringStatsAnomaliesRequest\StatsAnomaliesObjective;
/**
* @param string $formattedModelDeploymentMonitoringJob ModelDeploymentMonitoring Job resource name.
* Format:
* `projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}`
* Please see {@see JobServiceClient::modelDeploymentMonitoringJobName()} for help formatting this field.
* @param string $deployedModelId The DeployedModel ID of the
* [ModelDeploymentMonitoringObjectiveConfig.deployed_model_id].
*/
function search_model_deployment_monitoring_stats_anomalies_sample(
string $formattedModelDeploymentMonitoringJob,
string $deployedModelId
): void {
// Create a client.
$jobServiceClient = new JobServiceClient();
// Prepare the request message.
$objectives = [new StatsAnomaliesObjective()];
$request = (new SearchModelDeploymentMonitoringStatsAnomaliesRequest())
->setModelDeploymentMonitoringJob($formattedModelDeploymentMonitoringJob)
->setDeployedModelId($deployedModelId)
->setObjectives($objectives);
// Call the API and handle any network failures.
try {
/** @var PagedListResponse $response */
$response = $jobServiceClient->searchModelDeploymentMonitoringStatsAnomalies($request);
/** @var ModelMonitoringStatsAnomalies $element */
foreach ($response as $element) {
printf('Element data: %s' . PHP_EOL, $element->serializeToJsonString());
}
} catch (ApiException $ex) {
printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
}
}
/**
* This sample has been automatically generated and should be regarded as a code
* template only. It will require modifications to work:
* - It may require correct/in-range values for request initialization.
* - It may require specifying regional endpoints when creating the service client,
* please see the apiEndpoint client configuration option for more details.
*/
function callSample(): void
{
$formattedModelDeploymentMonitoringJob = JobServiceClient::modelDeploymentMonitoringJobName(
'[PROJECT]',
'[LOCATION]',
'[MODEL_DEPLOYMENT_MONITORING_JOB]'
);
$deployedModelId = '[DEPLOYED_MODEL_ID]';
search_model_deployment_monitoring_stats_anomalies_sample(
$formattedModelDeploymentMonitoringJob,
$deployedModelId
);
}
updateModelDeploymentMonitoringJob
Updates a ModelDeploymentMonitoringJob.
modelDeploymentMonitoringJob
Google\Cloud\AIPlatform\V1\ModelDeploymentMonitoringJob
Required. The model monitoring configuration which replaces the resource on the server.
updateMask
Google\Protobuf\FieldMask
Required. The update mask is used to specify the fields to be overwritten
in the ModelDeploymentMonitoringJob resource by the update. The fields
specified in the update_mask are relative to the resource, not the full
request. A field will be overwritten if it is in the mask. If the user does
not provide a mask then only the non-empty fields present in the request
will be overwritten. Set the update_mask to *
to override all fields. For
the objective config, the user can either provide the update mask for
model_deployment_monitoring_objective_configs or any combination of its
nested fields, such as:
model_deployment_monitoring_objective_configs.objective_config.training_dataset.
Updatable fields:
-
display_name
-
model_deployment_monitoring_schedule_config
-
model_monitoring_alert_config
-
logging_sampling_strategy
-
labels
-
log_ttl
-
enable_monitoring_pipeline_logs
. and -
model_deployment_monitoring_objective_configs
. or -
model_deployment_monitoring_objective_configs.objective_config.training_dataset
-
model_deployment_monitoring_objective_configs.objective_config.training_prediction_skew_detection_config
-
model_deployment_monitoring_objective_configs.objective_config.prediction_drift_detection_config
optionalArgs
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.
use Google\ApiCore\ApiException;
use Google\ApiCore\OperationResponse;
use Google\Cloud\AIPlatform\V1\Client\JobServiceClient;
use Google\Cloud\AIPlatform\V1\ModelDeploymentMonitoringJob;
use Google\Cloud\AIPlatform\V1\ModelDeploymentMonitoringObjectiveConfig;
use Google\Cloud\AIPlatform\V1\ModelDeploymentMonitoringScheduleConfig;
use Google\Cloud\AIPlatform\V1\SamplingStrategy;
use Google\Cloud\AIPlatform\V1\UpdateModelDeploymentMonitoringJobRequest;
use Google\Protobuf\Duration;
use Google\Protobuf\FieldMask;
use Google\Rpc\Status;
/**
* @param string $modelDeploymentMonitoringJobDisplayName The user-defined name of the ModelDeploymentMonitoringJob.
* The name can be up to 128 characters long and can consist of any UTF-8
* characters.
* Display name of a ModelDeploymentMonitoringJob.
* @param string $formattedModelDeploymentMonitoringJobEndpoint Endpoint resource name.
* Format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
* Please see {@see JobServiceClient::endpointName()} for help formatting this field.
*/
function update_model_deployment_monitoring_job_sample(
string $modelDeploymentMonitoringJobDisplayName,
string $formattedModelDeploymentMonitoringJobEndpoint
): void {
// Create a client.
$jobServiceClient = new JobServiceClient();
// Prepare the request message.
$modelDeploymentMonitoringJobModelDeploymentMonitoringObjectiveConfigs = [
new ModelDeploymentMonitoringObjectiveConfig()
];
$modelDeploymentMonitoringJobModelDeploymentMonitoringScheduleConfigMonitorInterval = new Duration();
$modelDeploymentMonitoringJobModelDeploymentMonitoringScheduleConfig = (new ModelDeploymentMonitoringScheduleConfig())
->setMonitorInterval(
$modelDeploymentMonitoringJobModelDeploymentMonitoringScheduleConfigMonitorInterval
);
$modelDeploymentMonitoringJobLoggingSamplingStrategy = new SamplingStrategy();
$modelDeploymentMonitoringJob = (new ModelDeploymentMonitoringJob())
->setDisplayName($modelDeploymentMonitoringJobDisplayName)
->setEndpoint($formattedModelDeploymentMonitoringJobEndpoint)
->setModelDeploymentMonitoringObjectiveConfigs(
$modelDeploymentMonitoringJobModelDeploymentMonitoringObjectiveConfigs
)
->setModelDeploymentMonitoringScheduleConfig(
$modelDeploymentMonitoringJobModelDeploymentMonitoringScheduleConfig
)
->setLoggingSamplingStrategy($modelDeploymentMonitoringJobLoggingSamplingStrategy);
$updateMask = new FieldMask();
$request = (new UpdateModelDeploymentMonitoringJobRequest())
->setModelDeploymentMonitoringJob($modelDeploymentMonitoringJob)
->setUpdateMask($updateMask);
// Call the API and handle any network failures.
try {
/** @var OperationResponse $response */
$response = $jobServiceClient->updateModelDeploymentMonitoringJob($request);
$response->pollUntilComplete();
if ($response->operationSucceeded()) {
/** @var ModelDeploymentMonitoringJob $result */
$result = $response->getResult();
printf('Operation successful with response data: %s' . PHP_EOL, $result->serializeToJsonString());
} else {
/** @var Status $error */
$error = $response->getError();
printf('Operation failed with error data: %s' . PHP_EOL, $error->serializeToJsonString());
}
} catch (ApiException $ex) {
printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
}
}
/**
* This sample has been automatically generated and should be regarded as a code
* template only. It will require modifications to work:
* - It may require correct/in-range values for request initialization.
* - It may require specifying regional endpoints when creating the service client,
* please see the apiEndpoint client configuration option for more details.
*/
function callSample(): void
{
$modelDeploymentMonitoringJobDisplayName = '[DISPLAY_NAME]';
$formattedModelDeploymentMonitoringJobEndpoint = JobServiceClient::endpointName(
'[PROJECT]',
'[LOCATION]',
'[ENDPOINT]'
);
update_model_deployment_monitoring_job_sample(
$modelDeploymentMonitoringJobDisplayName,
$formattedModelDeploymentMonitoringJobEndpoint
);
}
getLocation
Gets information about a location.
optionalArgs
array
Optional.
↳ name
string
Resource name for the location.
↳ 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.
use Google\ApiCore\ApiException;
use Google\Cloud\AIPlatform\V1\Client\JobServiceClient;
use Google\Cloud\Location\GetLocationRequest;
use Google\Cloud\Location\Location;
/**
* This sample has been automatically generated and should be regarded as a code
* template only. It will require modifications to work:
* - It may require correct/in-range values for request initialization.
* - It may require specifying regional endpoints when creating the service client,
* please see the apiEndpoint client configuration option for more details.
*/
function get_location_sample(): void
{
// Create a client.
$jobServiceClient = new JobServiceClient();
// Prepare the request message.
$request = new GetLocationRequest();
// Call the API and handle any network failures.
try {
/** @var Location $response */
$response = $jobServiceClient->getLocation($request);
printf('Response data: %s' . PHP_EOL, $response->serializeToJsonString());
} catch (ApiException $ex) {
printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
}
}
listLocations
Lists information about the supported locations for this service.
optionalArgs
array
Optional.
↳ name
string
The resource that owns the locations collection, if applicable.
↳ filter
string
The standard list filter.
↳ pageSize
int
The maximum number of resources contained in the underlying API response. The API may return fewer values in a page, even if there are additional values to be retrieved.
↳ pageToken
string
A page token is used to specify a page of values to be returned. If no page token is specified (the default), the first page of values will be returned. Any page token used here must have been generated by a previous call to the API.
↳ 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.
use Google\ApiCore\ApiException;
use Google\ApiCore\PagedListResponse;
use Google\Cloud\AIPlatform\V1\Client\JobServiceClient;
use Google\Cloud\Location\ListLocationsRequest;
use Google\Cloud\Location\Location;
/**
* This sample has been automatically generated and should be regarded as a code
* template only. It will require modifications to work:
* - It may require correct/in-range values for request initialization.
* - It may require specifying regional endpoints when creating the service client,
* please see the apiEndpoint client configuration option for more details.
*/
function list_locations_sample(): void
{
// Create a client.
$jobServiceClient = new JobServiceClient();
// Prepare the request message.
$request = new ListLocationsRequest();
// Call the API and handle any network failures.
try {
/** @var PagedListResponse $response */
$response = $jobServiceClient->listLocations($request);
/** @var Location $element */
foreach ($response as $element) {
printf('Element data: %s' . PHP_EOL, $element->serializeToJsonString());
}
} catch (ApiException $ex) {
printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
}
}
getIamPolicy
Gets the access control policy for a resource. Returns an empty policy if the resource exists and does not have a policy set.
resource
string
REQUIRED: The resource for which the policy is being requested. See the operation documentation for the appropriate value for this field.
optionalArgs
array
Optional.
↳ options
GetPolicyOptions
OPTIONAL: A GetPolicyOptions
object for specifying options to GetIamPolicy
.
↳ 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.
use Google\ApiCore\ApiException;
use Google\Cloud\AIPlatform\V1\Client\JobServiceClient;
use Google\Cloud\Iam\V1\GetIamPolicyRequest;
use Google\Cloud\Iam\V1\Policy;
/**
* @param string $resource REQUIRED: The resource for which the policy is being requested.
* See the operation documentation for the appropriate value for this field.
*/
function get_iam_policy_sample(string $resource): void
{
// Create a client.
$jobServiceClient = new JobServiceClient();
// Prepare the request message.
$request = (new GetIamPolicyRequest())
->setResource($resource);
// Call the API and handle any network failures.
try {
/** @var Policy $response */
$response = $jobServiceClient->getIamPolicy($request);
printf('Response data: %s' . PHP_EOL, $response->serializeToJsonString());
} catch (ApiException $ex) {
printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
}
}
/**
* This sample has been automatically generated and should be regarded as a code
* template only. It will require modifications to work:
* - It may require correct/in-range values for request initialization.
* - It may require specifying regional endpoints when creating the service client,
* please see the apiEndpoint client configuration option for more details.
*/
function callSample(): void
{
$resource = '[RESOURCE]';
get_iam_policy_sample($resource);
}
setIamPolicy
Sets the access control policy on the specified resource. Replaces any existing policy.
Can return NOT_FOUND
, INVALID_ARGUMENT
, and PERMISSION_DENIED
errors.
resource
string
REQUIRED: The resource for which the policy is being specified. See the operation documentation for the appropriate value for this field.
policy
Google\Cloud\Iam\V1\Policy
REQUIRED: The complete policy to be applied to the resource
. The size of
the policy is limited to a few 10s of KB. An empty policy is a
valid policy but certain Cloud Platform services (such as Projects)
might reject them.
optionalArgs
array
Optional.
↳ updateMask
FieldMask
OPTIONAL: A FieldMask specifying which fields of the policy to modify. Only the fields in the mask will be modified. If no mask is provided, the following default mask is used: paths: "bindings, etag"
↳ 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.
use Google\ApiCore\ApiException;
use Google\Cloud\AIPlatform\V1\Client\JobServiceClient;
use Google\Cloud\Iam\V1\Policy;
use Google\Cloud\Iam\V1\SetIamPolicyRequest;
/**
* @param string $resource REQUIRED: The resource for which the policy is being specified.
* See the operation documentation for the appropriate value for this field.
*/
function set_iam_policy_sample(string $resource): void
{
// Create a client.
$jobServiceClient = new JobServiceClient();
// Prepare the request message.
$policy = new Policy();
$request = (new SetIamPolicyRequest())
->setResource($resource)
->setPolicy($policy);
// Call the API and handle any network failures.
try {
/** @var Policy $response */
$response = $jobServiceClient->setIamPolicy($request);
printf('Response data: %s' . PHP_EOL, $response->serializeToJsonString());
} catch (ApiException $ex) {
printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
}
}
/**
* This sample has been automatically generated and should be regarded as a code
* template only. It will require modifications to work:
* - It may require correct/in-range values for request initialization.
* - It may require specifying regional endpoints when creating the service client,
* please see the apiEndpoint client configuration option for more details.
*/
function callSample(): void
{
$resource = '[RESOURCE]';
set_iam_policy_sample($resource);
}
testIamPermissions
Returns permissions that a caller has on the specified resource. If the
resource does not exist, this will return an empty set of
permissions, not a NOT_FOUND
error.
Note: This operation is designed to be used for building permission-aware UIs and command-line tools, not for authorization checking. This operation may "fail open" without warning.
resource
string
REQUIRED: The resource for which the policy detail is being requested. See the operation documentation for the appropriate value for this field.
permissions
string[]
The set of permissions to check for the resource
. Permissions with
wildcards (such as ' ' or 'storage.
') are not allowed. For more
information see IAM Overview
.
optionalArgs
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.
use Google\ApiCore\ApiException;
use Google\Cloud\AIPlatform\V1\Client\JobServiceClient;
use Google\Cloud\Iam\V1\TestIamPermissionsRequest;
use Google\Cloud\Iam\V1\TestIamPermissionsResponse;
/**
* @param string $resource REQUIRED: The resource for which the policy detail is being requested.
* See the operation documentation for the appropriate value for this field.
* @param string $permissionsElement The set of permissions to check for the `resource`. Permissions with
* wildcards (such as '*' or 'storage.*') are not allowed. For more
* information see
* [IAM Overview](https://cloud.google.com/iam/docs/overview#permissions).
*/
function test_iam_permissions_sample(string $resource, string $permissionsElement): void
{
// Create a client.
$jobServiceClient = new JobServiceClient();
// Prepare the request message.
$permissions = [$permissionsElement,];
$request = (new TestIamPermissionsRequest())
->setResource($resource)
->setPermissions($permissions);
// Call the API and handle any network failures.
try {
/** @var TestIamPermissionsResponse $response */
$response = $jobServiceClient->testIamPermissions($request);
printf('Response data: %s' . PHP_EOL, $response->serializeToJsonString());
} catch (ApiException $ex) {
printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
}
}
/**
* This sample has been automatically generated and should be regarded as a code
* template only. It will require modifications to work:
* - It may require correct/in-range values for request initialization.
* - It may require specifying regional endpoints when creating the service client,
* please see the apiEndpoint client configuration option for more details.
*/
function callSample(): void
{
$resource = '[RESOURCE]';
$permissionsElement = '[PERMISSIONS]';
test_iam_permissions_sample($resource, $permissionsElement);
}
Constants
SERVICE_NAME
Value: 'google.cloud.aiplatform.v1.JobService'
The name of the service.
SERVICE_ADDRESS
Value: 'aiplatform.googleapis.com'
The default address of the service.
DEFAULT_SERVICE_PORT
Value: 443
The default port of the service.
CODEGEN_NAME
Value: 'gapic'
The name of the code generator, to be included in the agent header.