public final class ModelDeploymentMonitoringScheduleConfig extends GeneratedMessageV3 implements ModelDeploymentMonitoringScheduleConfigOrBuilder
The config for scheduling monitoring job.
Protobuf type google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringScheduleConfig
Static Fields
public static final int MONITOR_INTERVAL_FIELD_NUMBER
Field Value
public static final int MONITOR_WINDOW_FIELD_NUMBER
Field Value
Static Methods
public static ModelDeploymentMonitoringScheduleConfig getDefaultInstance()
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public static final Descriptors.Descriptor getDescriptor()
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public static ModelDeploymentMonitoringScheduleConfig.Builder newBuilder()
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public static ModelDeploymentMonitoringScheduleConfig.Builder newBuilder(ModelDeploymentMonitoringScheduleConfig prototype)
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public static ModelDeploymentMonitoringScheduleConfig parseDelimitedFrom(InputStream input)
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public static ModelDeploymentMonitoringScheduleConfig parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
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public static ModelDeploymentMonitoringScheduleConfig parseFrom(byte[] data)
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data | byte[]
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public static ModelDeploymentMonitoringScheduleConfig parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
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public static ModelDeploymentMonitoringScheduleConfig parseFrom(ByteString data)
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public static ModelDeploymentMonitoringScheduleConfig parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
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public static ModelDeploymentMonitoringScheduleConfig parseFrom(CodedInputStream input)
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public static ModelDeploymentMonitoringScheduleConfig parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
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public static ModelDeploymentMonitoringScheduleConfig parseFrom(InputStream input)
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public static ModelDeploymentMonitoringScheduleConfig parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
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public static ModelDeploymentMonitoringScheduleConfig parseFrom(ByteBuffer data)
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public static ModelDeploymentMonitoringScheduleConfig parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
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public static Parser<ModelDeploymentMonitoringScheduleConfig> parser()
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Methods
public boolean equals(Object obj)
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Overrides
public ModelDeploymentMonitoringScheduleConfig getDefaultInstanceForType()
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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];
Returns
Type | Description |
Duration | The monitorInterval.
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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];
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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;
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Type | Description |
Duration | The monitorWindow.
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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;
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public Parser<ModelDeploymentMonitoringScheduleConfig> getParserForType()
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public int getSerializedSize()
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public final UnknownFieldSet getUnknownFields()
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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];
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Type | Description |
boolean | Whether the monitorInterval field is set.
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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;
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Type | Description |
boolean | Whether the monitorWindow field is set.
|
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Overrides
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
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public final boolean isInitialized()
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public ModelDeploymentMonitoringScheduleConfig.Builder newBuilderForType()
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protected ModelDeploymentMonitoringScheduleConfig.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)
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protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
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public ModelDeploymentMonitoringScheduleConfig.Builder toBuilder()
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public void writeTo(CodedOutputStream output)
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