public static final class ModelDeploymentMonitoringScheduleConfig.Builder extends GeneratedMessageV3.Builder<ModelDeploymentMonitoringScheduleConfig.Builder> implements ModelDeploymentMonitoringScheduleConfigOrBuilder
The config for scheduling monitoring job.
Protobuf type google.cloud.aiplatform.v1.ModelDeploymentMonitoringScheduleConfig
Static Methods
public static final Descriptors.Descriptor getDescriptor()
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Methods
public ModelDeploymentMonitoringScheduleConfig.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
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public ModelDeploymentMonitoringScheduleConfig build()
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public ModelDeploymentMonitoringScheduleConfig buildPartial()
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public ModelDeploymentMonitoringScheduleConfig.Builder clear()
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public ModelDeploymentMonitoringScheduleConfig.Builder clearField(Descriptors.FieldDescriptor field)
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public ModelDeploymentMonitoringScheduleConfig.Builder clearMonitorInterval()
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.
.google.protobuf.Duration monitor_interval = 1 [(.google.api.field_behavior) = REQUIRED];
public ModelDeploymentMonitoringScheduleConfig.Builder clearMonitorWindow()
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.
.google.protobuf.Duration monitor_window = 2;
public ModelDeploymentMonitoringScheduleConfig.Builder clearOneof(Descriptors.OneofDescriptor oneof)
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public ModelDeploymentMonitoringScheduleConfig.Builder clone()
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public ModelDeploymentMonitoringScheduleConfig getDefaultInstanceForType()
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public Descriptors.Descriptor getDescriptorForType()
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public Duration 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.
.google.protobuf.Duration monitor_interval = 1 [(.google.api.field_behavior) = REQUIRED];
| Type | Description |
| Duration | The monitorInterval.
|
public Duration.Builder getMonitorIntervalBuilder()
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.
.google.protobuf.Duration monitor_interval = 1 [(.google.api.field_behavior) = REQUIRED];
public DurationOrBuilder getMonitorIntervalOrBuilder()
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.
.google.protobuf.Duration monitor_interval = 1 [(.google.api.field_behavior) = REQUIRED];
public Duration 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.
.google.protobuf.Duration monitor_window = 2;
| Type | Description |
| Duration | The monitorWindow.
|
public Duration.Builder getMonitorWindowBuilder()
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.
.google.protobuf.Duration monitor_window = 2;
public DurationOrBuilder getMonitorWindowOrBuilder()
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.
.google.protobuf.Duration monitor_window = 2;
public boolean hasMonitorInterval()
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.
.google.protobuf.Duration monitor_interval = 1 [(.google.api.field_behavior) = REQUIRED];
| Type | Description |
| boolean | Whether the monitorInterval field is set.
|
public boolean hasMonitorWindow()
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.
.google.protobuf.Duration monitor_window = 2;
| Type | Description |
| boolean | Whether the monitorWindow field is set.
|
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
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public final boolean isInitialized()
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public ModelDeploymentMonitoringScheduleConfig.Builder mergeFrom(ModelDeploymentMonitoringScheduleConfig other)
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public ModelDeploymentMonitoringScheduleConfig.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
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Exceptions
public ModelDeploymentMonitoringScheduleConfig.Builder mergeFrom(Message other)
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public ModelDeploymentMonitoringScheduleConfig.Builder mergeMonitorInterval(Duration value)
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.
.google.protobuf.Duration monitor_interval = 1 [(.google.api.field_behavior) = REQUIRED];
public ModelDeploymentMonitoringScheduleConfig.Builder mergeMonitorWindow(Duration value)
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.
.google.protobuf.Duration monitor_window = 2;
public final ModelDeploymentMonitoringScheduleConfig.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
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public ModelDeploymentMonitoringScheduleConfig.Builder setField(Descriptors.FieldDescriptor field, Object value)
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public ModelDeploymentMonitoringScheduleConfig.Builder setMonitorInterval(Duration value)
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.
.google.protobuf.Duration monitor_interval = 1 [(.google.api.field_behavior) = REQUIRED];
public ModelDeploymentMonitoringScheduleConfig.Builder setMonitorInterval(Duration.Builder builderForValue)
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.
.google.protobuf.Duration monitor_interval = 1 [(.google.api.field_behavior) = REQUIRED];
| Name | Description |
| builderForValue | Builder
|
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public ModelDeploymentMonitoringScheduleConfig.Builder setMonitorWindow(Duration value)
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.
.google.protobuf.Duration monitor_window = 2;
public ModelDeploymentMonitoringScheduleConfig.Builder setMonitorWindow(Duration.Builder builderForValue)
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.
.google.protobuf.Duration monitor_window = 2;
| Name | Description |
| builderForValue | Builder
|
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public ModelDeploymentMonitoringScheduleConfig.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
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public final ModelDeploymentMonitoringScheduleConfig.Builder setUnknownFields(UnknownFieldSet unknownFields)
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