Reference documentation and code samples for the Google Cloud Ai Platform V1 Client class UpdateModelDeploymentMonitoringJobRequest.
Request message for JobService.UpdateModelDeploymentMonitoringJob.
Generated from protobuf message google.cloud.aiplatform.v1.UpdateModelDeploymentMonitoringJobRequest
Namespace
Google \ Cloud \ AIPlatform \ V1Methods
__construct
Constructor.
Parameters | |
---|---|
Name | Description |
data |
array
Optional. Data for populating the Message object. |
↳ model_deployment_monitoring_job |
Google\Cloud\AIPlatform\V1\ModelDeploymentMonitoringJob
Required. The model monitoring configuration which replaces the resource on the server. |
↳ update_mask |
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 |
getModelDeploymentMonitoringJob
Required. The model monitoring configuration which replaces the resource on the server.
Returns | |
---|---|
Type | Description |
Google\Cloud\AIPlatform\V1\ModelDeploymentMonitoringJob|null |
hasModelDeploymentMonitoringJob
clearModelDeploymentMonitoringJob
setModelDeploymentMonitoringJob
Required. The model monitoring configuration which replaces the resource on the server.
Parameter | |
---|---|
Name | Description |
var |
Google\Cloud\AIPlatform\V1\ModelDeploymentMonitoringJob
|
Returns | |
---|---|
Type | Description |
$this |
getUpdateMask
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
. andmodel_deployment_monitoring_objective_configs
. ormodel_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
Returns | |
---|---|
Type | Description |
Google\Protobuf\FieldMask|null |
hasUpdateMask
clearUpdateMask
setUpdateMask
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
. andmodel_deployment_monitoring_objective_configs
. ormodel_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
Parameter | |
---|---|
Name | Description |
var |
Google\Protobuf\FieldMask
|
Returns | |
---|---|
Type | Description |
$this |
static::build
Parameters | |
---|---|
Name | Description |
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 Updatable fields:
|
Returns | |
---|---|
Type | Description |
Google\Cloud\AIPlatform\V1\UpdateModelDeploymentMonitoringJobRequest |