Reference documentation and code samples for the Google Cloud Ai Platform V1 Client class ModelDeploymentMonitoringScheduleConfig.
The config for scheduling monitoring job.
Generated from protobuf message google.cloud.aiplatform.v1.ModelDeploymentMonitoringScheduleConfig
Methods
__construct
Constructor.
| Parameters | |
|---|---|
| Name | Description |
data |
array
Optional. Data for populating the Message object. |
↳ monitor_interval |
Google\Protobuf\Duration
Required. The model monitoring job scheduling interval. It will be rounded up to next full hour. This defines how often the monitoring jobs are triggered. |
↳ monitor_window |
Google\Protobuf\Duration
The time window of the prediction data being included in each prediction dataset. This window specifies how long the data should be collected from historical model results for each run. If not set, ModelDeploymentMonitoringScheduleConfig.monitor_interval will be used. e.g. If currently the cutoff time is 2022-01-08 14:30:00 and the monitor_window is set to be 3600, then data from 2022-01-08 13:30:00 to 2022-01-08 14:30:00 will be retrieved and aggregated to calculate the monitoring statistics. |
getMonitorInterval
Required. The model monitoring job scheduling interval. It will be rounded up to next full hour. This defines how often the monitoring jobs are triggered.
Generated from protobuf field .google.protobuf.Duration monitor_interval = 1 [(.google.api.field_behavior) = REQUIRED];
| Returns | |
|---|---|
| Type | Description |
Google\Protobuf\Duration|null | |
hasMonitorInterval
clearMonitorInterval
setMonitorInterval
Required. The model monitoring job scheduling interval. It will be rounded up to next full hour. This defines how often the monitoring jobs are triggered.
Generated from protobuf field .google.protobuf.Duration monitor_interval = 1 [(.google.api.field_behavior) = REQUIRED];
| Parameter | |
|---|---|
| Name | Description |
var |
Google\Protobuf\Duration
|
| Returns | |
|---|---|
| Type | Description |
$this | |
getMonitorWindow
The time window of the prediction data being included in each prediction dataset. This window specifies how long the data should be collected from historical model results for each run. If not set, ModelDeploymentMonitoringScheduleConfig.monitor_interval will be used.
e.g. If currently the cutoff time is 2022-01-08 14:30:00 and the monitor_window is set to be 3600, then data from 2022-01-08 13:30:00 to 2022-01-08 14:30:00 will be retrieved and aggregated to calculate the monitoring statistics.
Generated from protobuf field .google.protobuf.Duration monitor_window = 2;
| Returns | |
|---|---|
| Type | Description |
Google\Protobuf\Duration|null | |
hasMonitorWindow
clearMonitorWindow
setMonitorWindow
The time window of the prediction data being included in each prediction dataset. This window specifies how long the data should be collected from historical model results for each run. If not set, ModelDeploymentMonitoringScheduleConfig.monitor_interval will be used.
e.g. If currently the cutoff time is 2022-01-08 14:30:00 and the monitor_window is set to be 3600, then data from 2022-01-08 13:30:00 to 2022-01-08 14:30:00 will be retrieved and aggregated to calculate the monitoring statistics.
Generated from protobuf field .google.protobuf.Duration monitor_window = 2;
| Parameter | |
|---|---|
| Name | Description |
var |
Google\Protobuf\Duration
|
| Returns | |
|---|---|
| Type | Description |
$this | |