Class ThresholdConfig.Builder (3.48.0)

public static final class ThresholdConfig.Builder extends GeneratedMessageV3.Builder<ThresholdConfig.Builder> implements ThresholdConfigOrBuilder

The config for feature monitoring threshold.

Protobuf type google.cloud.aiplatform.v1beta1.ThresholdConfig

Static Methods

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()
Returns
Type Description
Descriptor

Methods

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

public ThresholdConfig.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Parameters
Name Description
field FieldDescriptor
value Object
Returns
Type Description
ThresholdConfig.Builder
Overrides

build()

public ThresholdConfig build()
Returns
Type Description
ThresholdConfig

buildPartial()

public ThresholdConfig buildPartial()
Returns
Type Description
ThresholdConfig

clear()

public ThresholdConfig.Builder clear()
Returns
Type Description
ThresholdConfig.Builder
Overrides

clearField(Descriptors.FieldDescriptor field)

public ThresholdConfig.Builder clearField(Descriptors.FieldDescriptor field)
Parameter
Name Description
field FieldDescriptor
Returns
Type Description
ThresholdConfig.Builder
Overrides

clearOneof(Descriptors.OneofDescriptor oneof)

public ThresholdConfig.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Parameter
Name Description
oneof OneofDescriptor
Returns
Type Description
ThresholdConfig.Builder
Overrides

clearThreshold()

public ThresholdConfig.Builder clearThreshold()
Returns
Type Description
ThresholdConfig.Builder

clearValue()

public ThresholdConfig.Builder clearValue()

Specify a threshold value that can trigger the alert. If this threshold config is for feature distribution distance:

  1. For categorical feature, the distribution distance is calculated by L-inifinity norm.
  2. 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
ThresholdConfig.Builder

This builder for chaining.

clone()

public ThresholdConfig.Builder clone()
Returns
Type Description
ThresholdConfig.Builder
Overrides

getDefaultInstanceForType()

public ThresholdConfig getDefaultInstanceForType()
Returns
Type Description
ThresholdConfig

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()
Returns
Type Description
Descriptor
Overrides

getThresholdCase()

public ThresholdConfig.ThresholdCase getThresholdCase()
Returns
Type Description
ThresholdConfig.ThresholdCase

getValue()

public double getValue()

Specify a threshold value that can trigger the alert. If this threshold config is for feature distribution distance:

  1. For categorical feature, the distribution distance is calculated by L-inifinity norm.
  2. 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.

hasValue()

public boolean hasValue()

Specify a threshold value that can trigger the alert. If this threshold config is for feature distribution distance:

  1. For categorical feature, the distribution distance is calculated by L-inifinity norm.
  2. 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.

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
Type Description
FieldAccessorTable
Overrides

isInitialized()

public final boolean isInitialized()
Returns
Type Description
boolean
Overrides

mergeFrom(ThresholdConfig other)

public ThresholdConfig.Builder mergeFrom(ThresholdConfig other)
Parameter
Name Description
other ThresholdConfig
Returns
Type Description
ThresholdConfig.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public ThresholdConfig.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
input CodedInputStream
extensionRegistry ExtensionRegistryLite
Returns
Type Description
ThresholdConfig.Builder
Overrides
Exceptions
Type Description
IOException

mergeFrom(Message other)

public ThresholdConfig.Builder mergeFrom(Message other)
Parameter
Name Description
other Message
Returns
Type Description
ThresholdConfig.Builder
Overrides

mergeUnknownFields(UnknownFieldSet unknownFields)

public final ThresholdConfig.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Parameter
Name Description
unknownFields UnknownFieldSet
Returns
Type Description
ThresholdConfig.Builder
Overrides

setField(Descriptors.FieldDescriptor field, Object value)

public ThresholdConfig.Builder setField(Descriptors.FieldDescriptor field, Object value)
Parameters
Name Description
field FieldDescriptor
value Object
Returns
Type Description
ThresholdConfig.Builder
Overrides

setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

public ThresholdConfig.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
Parameters
Name Description
field FieldDescriptor
index int
value Object
Returns
Type Description
ThresholdConfig.Builder
Overrides

setUnknownFields(UnknownFieldSet unknownFields)

public final ThresholdConfig.Builder setUnknownFields(UnknownFieldSet unknownFields)
Parameter
Name Description
unknownFields UnknownFieldSet
Returns
Type Description
ThresholdConfig.Builder
Overrides

setValue(double value)

public ThresholdConfig.Builder setValue(double value)

Specify a threshold value that can trigger the alert. If this threshold config is for feature distribution distance:

  1. For categorical feature, the distribution distance is calculated by L-inifinity norm.
  2. 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
Type Description
ThresholdConfig.Builder

This builder for chaining.