Class StudySpec.MetricSpec.SafetyMetricConfig.Builder (3.84.0)

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public static final class StudySpec.MetricSpec.SafetyMetricConfig.Builder extends GeneratedMessage.Builder<StudySpec.MetricSpec.SafetyMetricConfig.Builder> implements StudySpec.MetricSpec.SafetyMetricConfigOrBuilder

Used in safe optimization to specify threshold levels and risk tolerance.

Protobuf type google.cloud.aiplatform.v1.StudySpec.MetricSpec.SafetyMetricConfig

Inheritance

java.lang.Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessage.Builder > StudySpec.MetricSpec.SafetyMetricConfig.Builder

Implements

StudySpec.MetricSpec.SafetyMetricConfigOrBuilder

Inherited Members

AbstractMessage.Builder.findInitializationErrors()

AbstractMessage.Builder.getInitializationErrorString()

AbstractMessage.Builder.internalMergeFrom(AbstractMessageLite)

AbstractMessage.Builder.mergeFrom(byte[])

AbstractMessage.Builder.mergeFrom(byte[],ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(byte[],int,int)

AbstractMessage.Builder.mergeFrom(byte[],int,int,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(ByteString)

AbstractMessage.Builder.mergeFrom(ByteString,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(CodedInputStream)

AbstractMessage.Builder.mergeFrom(CodedInputStream,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(Message)

AbstractMessage.Builder.mergeFrom(InputStream)

AbstractMessage.Builder.mergeFrom(InputStream,ExtensionRegistryLite)

AbstractMessage.Builder.newUninitializedMessageException(Message)

AbstractMessage.Builder.toString()

AbstractMessageLite.Builder.<T>addAll(Iterable<T>,Collection<? super T>)

AbstractMessageLite.Builder.<T>addAll(Iterable<T>,List<? super T>)

AbstractMessageLite.Builder.internalMergeFrom(MessageType)

AbstractMessageLite.Builder.mergeDelimitedFrom(InputStream)

AbstractMessageLite.Builder.mergeDelimitedFrom(InputStream,ExtensionRegistryLite)

AbstractMessageLite.Builder.mergeFrom(MessageLite)

AbstractMessageLite.Builder.newUninitializedMessageException(MessageLite)

GeneratedMessage.Builder.addRepeatedField(Descriptors.FieldDescriptor,Object)

GeneratedMessage.Builder.clear()

GeneratedMessage.Builder.clearField(Descriptors.FieldDescriptor)

GeneratedMessage.Builder.clearOneof(Descriptors.OneofDescriptor)

GeneratedMessage.Builder.clone()

GeneratedMessage.Builder.getAllFields()

GeneratedMessage.Builder.getDescriptorForType()

GeneratedMessage.Builder.getField(Descriptors.FieldDescriptor)

GeneratedMessage.Builder.getFieldBuilder(Descriptors.FieldDescriptor)

GeneratedMessage.Builder.getOneofFieldDescriptor(Descriptors.OneofDescriptor)

GeneratedMessage.Builder.getParentForChildren()

GeneratedMessage.Builder.getRepeatedField(Descriptors.FieldDescriptor,int)

GeneratedMessage.Builder.getRepeatedFieldBuilder(Descriptors.FieldDescriptor,int)

GeneratedMessage.Builder.getRepeatedFieldCount(Descriptors.FieldDescriptor)

com.google.protobuf.GeneratedMessage.Builder.getUnknownFieldSetBuilder()

GeneratedMessage.Builder.getUnknownFields()

GeneratedMessage.Builder.hasField(Descriptors.FieldDescriptor)

GeneratedMessage.Builder.hasOneof(Descriptors.OneofDescriptor)

GeneratedMessage.Builder.internalGetFieldAccessorTable()

GeneratedMessage.Builder.internalGetMapField(int)

com.google.protobuf.GeneratedMessage.Builder.internalGetMapFieldReflection(int)

GeneratedMessage.Builder.internalGetMutableMapField(int)

com.google.protobuf.GeneratedMessage.Builder.internalGetMutableMapFieldReflection(int)

GeneratedMessage.Builder.isClean()

GeneratedMessage.Builder.isInitialized()

GeneratedMessage.Builder.markClean()

GeneratedMessage.Builder.mergeUnknownFields(UnknownFieldSet)

com.google.protobuf.GeneratedMessage.Builder.mergeUnknownLengthDelimitedField(int,com.google.protobuf.ByteString)

com.google.protobuf.GeneratedMessage.Builder.mergeUnknownVarintField(int,int)

GeneratedMessage.Builder.newBuilderForField(Descriptors.FieldDescriptor)

GeneratedMessage.Builder.onBuilt()

GeneratedMessage.Builder.onChanged()

com.google.protobuf.GeneratedMessage.Builder.parseUnknownField(com.google.protobuf.CodedInputStream,com.google.protobuf.ExtensionRegistryLite,int)

GeneratedMessage.Builder.setField(Descriptors.FieldDescriptor,Object)

GeneratedMessage.Builder.setRepeatedField(Descriptors.FieldDescriptor,int,Object)

com.google.protobuf.GeneratedMessage.Builder.setUnknownFieldSetBuilder(com.google.protobuf.UnknownFieldSet.Builder)

GeneratedMessage.Builder.setUnknownFields(UnknownFieldSet)

com.google.protobuf.GeneratedMessage.Builder.setUnknownFieldsProto3(com.google.protobuf.UnknownFieldSet)

Object.equals(Object)

Object.finalize()

Object.getClass()

Object.hashCode()

Object.notify()

Object.notifyAll()

Object.wait()

Object.wait(long)

Object.wait(long,int)

Static Methods

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()

Returns
Type	Description
Descriptor

Methods

build()

public StudySpec.MetricSpec.SafetyMetricConfig build()

Returns
Type	Description
StudySpec.MetricSpec.SafetyMetricConfig

buildPartial()

public StudySpec.MetricSpec.SafetyMetricConfig buildPartial()

Returns
Type	Description
StudySpec.MetricSpec.SafetyMetricConfig

clear()

public StudySpec.MetricSpec.SafetyMetricConfig.Builder clear()

Returns
Type	Description
StudySpec.MetricSpec.SafetyMetricConfig.Builder

Overrides

GeneratedMessage.Builder<BuilderType>.clear()

clearDesiredMinSafeTrialsFraction()

public StudySpec.MetricSpec.SafetyMetricConfig.Builder clearDesiredMinSafeTrialsFraction()

Desired minimum fraction of safe trials (over total number of trials) that should be targeted by the algorithm at any time during the study (best effort). This should be between 0.0 and 1.0 and a value of 0.0 means that there is no minimum and an algorithm proceeds without targeting any specific fraction. A value of 1.0 means that the algorithm attempts to only Suggest safe Trials.

optional double desired_min_safe_trials_fraction = 2;

Returns
Type	Description
StudySpec.MetricSpec.SafetyMetricConfig.Builder	This builder for chaining.

clearSafetyThreshold()

public StudySpec.MetricSpec.SafetyMetricConfig.Builder clearSafetyThreshold()

Safety threshold (boundary value between safe and unsafe). NOTE that if you leave SafetyMetricConfig unset, a default value of 0 will be used.

double safety_threshold = 1;

Returns
Type	Description
StudySpec.MetricSpec.SafetyMetricConfig.Builder	This builder for chaining.

getDefaultInstanceForType()

public StudySpec.MetricSpec.SafetyMetricConfig getDefaultInstanceForType()

Returns
Type	Description
StudySpec.MetricSpec.SafetyMetricConfig

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()

Returns
Type	Description
Descriptor

Overrides

GeneratedMessage.Builder<BuilderType>.getDescriptorForType()

getDesiredMinSafeTrialsFraction()

public double getDesiredMinSafeTrialsFraction()

Desired minimum fraction of safe trials (over total number of trials) that should be targeted by the algorithm at any time during the study (best effort). This should be between 0.0 and 1.0 and a value of 0.0 means that there is no minimum and an algorithm proceeds without targeting any specific fraction. A value of 1.0 means that the algorithm attempts to only Suggest safe Trials.

optional double desired_min_safe_trials_fraction = 2;

Returns
Type	Description
double	The desiredMinSafeTrialsFraction.

getSafetyThreshold()

public double getSafetyThreshold()

Safety threshold (boundary value between safe and unsafe). NOTE that if you leave SafetyMetricConfig unset, a default value of 0 will be used.

double safety_threshold = 1;

Returns
Type	Description
double	The safetyThreshold.

hasDesiredMinSafeTrialsFraction()

public boolean hasDesiredMinSafeTrialsFraction()

Desired minimum fraction of safe trials (over total number of trials) that should be targeted by the algorithm at any time during the study (best effort). This should be between 0.0 and 1.0 and a value of 0.0 means that there is no minimum and an algorithm proceeds without targeting any specific fraction. A value of 1.0 means that the algorithm attempts to only Suggest safe Trials.

optional double desired_min_safe_trials_fraction = 2;

Returns
Type	Description
boolean	Whether the desiredMinSafeTrialsFraction field is set.

internalGetFieldAccessorTable()

protected GeneratedMessage.FieldAccessorTable internalGetFieldAccessorTable()

Returns
Type	Description
FieldAccessorTable

Overrides

GeneratedMessage.Builder<BuilderType>.internalGetFieldAccessorTable()

isInitialized()

public final boolean isInitialized()

Returns
Type	Description
boolean

Overrides

GeneratedMessage.Builder<BuilderType>.isInitialized()

mergeFrom(StudySpec.MetricSpec.SafetyMetricConfig other)

public StudySpec.MetricSpec.SafetyMetricConfig.Builder mergeFrom(StudySpec.MetricSpec.SafetyMetricConfig other)

Parameter
Name	Description
other	StudySpec.MetricSpec.SafetyMetricConfig

Returns
Type	Description
StudySpec.MetricSpec.SafetyMetricConfig.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public StudySpec.MetricSpec.SafetyMetricConfig.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

Parameters
Name	Description
input	CodedInputStream
extensionRegistry	ExtensionRegistryLite

Returns
Type	Description
StudySpec.MetricSpec.SafetyMetricConfig.Builder

Overrides

AbstractMessage.Builder<BuilderType>.mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

Exceptions
Type	Description
IOException

mergeFrom(Message other)

public StudySpec.MetricSpec.SafetyMetricConfig.Builder mergeFrom(Message other)

Parameter
Name	Description
other	Message

Returns
Type	Description
StudySpec.MetricSpec.SafetyMetricConfig.Builder

Overrides

AbstractMessage.Builder<BuilderType>.mergeFrom(Message other)

setDesiredMinSafeTrialsFraction(double value)

public StudySpec.MetricSpec.SafetyMetricConfig.Builder setDesiredMinSafeTrialsFraction(double value)

Desired minimum fraction of safe trials (over total number of trials) that should be targeted by the algorithm at any time during the study (best effort). This should be between 0.0 and 1.0 and a value of 0.0 means that there is no minimum and an algorithm proceeds without targeting any specific fraction. A value of 1.0 means that the algorithm attempts to only Suggest safe Trials.

optional double desired_min_safe_trials_fraction = 2;

Parameter
Name	Description
value	double The desiredMinSafeTrialsFraction to set.

Returns
Type	Description
StudySpec.MetricSpec.SafetyMetricConfig.Builder	This builder for chaining.

setSafetyThreshold(double value)

public StudySpec.MetricSpec.SafetyMetricConfig.Builder setSafetyThreshold(double value)

Safety threshold (boundary value between safe and unsafe). NOTE that if you leave SafetyMetricConfig unset, a default value of 0 will be used.

double safety_threshold = 1;

Parameter
Name	Description
value	double The safetyThreshold to set.

Returns
Type	Description
StudySpec.MetricSpec.SafetyMetricConfig.Builder	This builder for chaining.