public static final class FeaturestoreMonitoringConfig.ThresholdConfig.Builder extends GeneratedMessageV3.Builder<FeaturestoreMonitoringConfig.ThresholdConfig.Builder> implements FeaturestoreMonitoringConfig.ThresholdConfigOrBuilder
The config for Featurestore Monitoring threshold.
Protobuf type google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.ThresholdConfig
Inherited Members
com.google.protobuf.GeneratedMessageV3.Builder.getUnknownFieldSetBuilder()
com.google.protobuf.GeneratedMessageV3.Builder.mergeUnknownLengthDelimitedField(int,com.google.protobuf.ByteString)
com.google.protobuf.GeneratedMessageV3.Builder.mergeUnknownVarintField(int,int)
com.google.protobuf.GeneratedMessageV3.Builder.parseUnknownField(com.google.protobuf.CodedInputStream,com.google.protobuf.ExtensionRegistryLite,int)
com.google.protobuf.GeneratedMessageV3.Builder.setUnknownFieldSetBuilder(com.google.protobuf.UnknownFieldSet.Builder)
Static Methods
public static final Descriptors.Descriptor getDescriptor()
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Methods
public FeaturestoreMonitoringConfig.ThresholdConfig.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
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Overrides
public FeaturestoreMonitoringConfig.ThresholdConfig build()
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public FeaturestoreMonitoringConfig.ThresholdConfig buildPartial()
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public FeaturestoreMonitoringConfig.ThresholdConfig.Builder clear()
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public FeaturestoreMonitoringConfig.ThresholdConfig.Builder clearField(Descriptors.FieldDescriptor field)
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public FeaturestoreMonitoringConfig.ThresholdConfig.Builder clearOneof(Descriptors.OneofDescriptor oneof)
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public FeaturestoreMonitoringConfig.ThresholdConfig.Builder clearThreshold()
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public FeaturestoreMonitoringConfig.ThresholdConfig.Builder clearValue()
Specify a threshold value that can trigger the alert.
- For categorical feature, the distribution distance is calculated by
L-inifinity norm.
- For numerical feature, the distribution distance is calculated by
Jensen–Shannon divergence. Each feature must have a non-zero threshold
if they need to be monitored. Otherwise no alert will be triggered for
that feature.
double value = 1;
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public FeaturestoreMonitoringConfig.ThresholdConfig.Builder clone()
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public FeaturestoreMonitoringConfig.ThresholdConfig getDefaultInstanceForType()
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public Descriptors.Descriptor getDescriptorForType()
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public FeaturestoreMonitoringConfig.ThresholdConfig.ThresholdCase getThresholdCase()
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Specify a threshold value that can trigger the alert.
- For categorical feature, the distribution distance is calculated by
L-inifinity norm.
- For numerical feature, the distribution distance is calculated by
Jensen–Shannon divergence. Each feature must have a non-zero threshold
if they need to be monitored. Otherwise no alert will be triggered for
that feature.
double value = 1;
Returns
Type | Description |
double | The value.
|
public boolean hasValue()
Specify a threshold value that can trigger the alert.
- For categorical feature, the distribution distance is calculated by
L-inifinity norm.
- For numerical feature, the distribution distance is calculated by
Jensen–Shannon divergence. Each feature must have a non-zero threshold
if they need to be monitored. Otherwise no alert will be triggered for
that feature.
double value = 1;
Returns
Type | Description |
boolean | Whether the value field is set.
|
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
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public final boolean isInitialized()
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public FeaturestoreMonitoringConfig.ThresholdConfig.Builder mergeFrom(FeaturestoreMonitoringConfig.ThresholdConfig other)
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public FeaturestoreMonitoringConfig.ThresholdConfig.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
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Exceptions
public FeaturestoreMonitoringConfig.ThresholdConfig.Builder mergeFrom(Message other)
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public final FeaturestoreMonitoringConfig.ThresholdConfig.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
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public FeaturestoreMonitoringConfig.ThresholdConfig.Builder setField(Descriptors.FieldDescriptor field, Object value)
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public FeaturestoreMonitoringConfig.ThresholdConfig.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
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public final FeaturestoreMonitoringConfig.ThresholdConfig.Builder setUnknownFields(UnknownFieldSet unknownFields)
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public FeaturestoreMonitoringConfig.ThresholdConfig.Builder setValue(double value)
Specify a threshold value that can trigger the alert.
- For categorical feature, the distribution distance is calculated by
L-inifinity norm.
- For numerical feature, the distribution distance is calculated by
Jensen–Shannon divergence. Each feature must have a non-zero threshold
if they need to be monitored. Otherwise no alert will be triggered for
that feature.
double value = 1;
Parameter
Name | Description |
value | double
The value to set.
|
Returns