Class PairwiseQuestionAnsweringQualityInstance.Builder (3.42.0)

public static final class PairwiseQuestionAnsweringQualityInstance.Builder extends GeneratedMessageV3.Builder<PairwiseQuestionAnsweringQualityInstance.Builder> implements PairwiseQuestionAnsweringQualityInstanceOrBuilder

Spec for pairwise question answering quality instance.

Protobuf type google.cloud.aiplatform.v1beta1.PairwiseQuestionAnsweringQualityInstance

Static Methods

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()
Returns
TypeDescription
Descriptor

Methods

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

public PairwiseQuestionAnsweringQualityInstance.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Parameters
NameDescription
fieldFieldDescriptor
valueObject
Returns
TypeDescription
PairwiseQuestionAnsweringQualityInstance.Builder
Overrides

build()

public PairwiseQuestionAnsweringQualityInstance build()
Returns
TypeDescription
PairwiseQuestionAnsweringQualityInstance

buildPartial()

public PairwiseQuestionAnsweringQualityInstance buildPartial()
Returns
TypeDescription
PairwiseQuestionAnsweringQualityInstance

clear()

public PairwiseQuestionAnsweringQualityInstance.Builder clear()
Returns
TypeDescription
PairwiseQuestionAnsweringQualityInstance.Builder
Overrides

clearBaselinePrediction()

public PairwiseQuestionAnsweringQualityInstance.Builder clearBaselinePrediction()

Required. Output of the baseline model.

optional string baseline_prediction = 2 [(.google.api.field_behavior) = REQUIRED];

Returns
TypeDescription
PairwiseQuestionAnsweringQualityInstance.Builder

This builder for chaining.

clearContext()

public PairwiseQuestionAnsweringQualityInstance.Builder clearContext()

Optional. Text to answer the question.

optional string context = 4 [(.google.api.field_behavior) = OPTIONAL];

Returns
TypeDescription
PairwiseQuestionAnsweringQualityInstance.Builder

This builder for chaining.

clearField(Descriptors.FieldDescriptor field)

public PairwiseQuestionAnsweringQualityInstance.Builder clearField(Descriptors.FieldDescriptor field)
Parameter
NameDescription
fieldFieldDescriptor
Returns
TypeDescription
PairwiseQuestionAnsweringQualityInstance.Builder
Overrides

clearInstruction()

public PairwiseQuestionAnsweringQualityInstance.Builder clearInstruction()

Required. Question Answering prompt for LLM.

optional string instruction = 5 [(.google.api.field_behavior) = REQUIRED];

Returns
TypeDescription
PairwiseQuestionAnsweringQualityInstance.Builder

This builder for chaining.

clearOneof(Descriptors.OneofDescriptor oneof)

public PairwiseQuestionAnsweringQualityInstance.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Parameter
NameDescription
oneofOneofDescriptor
Returns
TypeDescription
PairwiseQuestionAnsweringQualityInstance.Builder
Overrides

clearPrediction()

public PairwiseQuestionAnsweringQualityInstance.Builder clearPrediction()

Required. Output of the candidate model.

optional string prediction = 1 [(.google.api.field_behavior) = REQUIRED];

Returns
TypeDescription
PairwiseQuestionAnsweringQualityInstance.Builder

This builder for chaining.

clearReference()

public PairwiseQuestionAnsweringQualityInstance.Builder clearReference()

Optional. Ground truth used to compare against the prediction.

optional string reference = 3 [(.google.api.field_behavior) = OPTIONAL];

Returns
TypeDescription
PairwiseQuestionAnsweringQualityInstance.Builder

This builder for chaining.

clone()

public PairwiseQuestionAnsweringQualityInstance.Builder clone()
Returns
TypeDescription
PairwiseQuestionAnsweringQualityInstance.Builder
Overrides

getBaselinePrediction()

public String getBaselinePrediction()

Required. Output of the baseline model.

optional string baseline_prediction = 2 [(.google.api.field_behavior) = REQUIRED];

Returns
TypeDescription
String

The baselinePrediction.

getBaselinePredictionBytes()

public ByteString getBaselinePredictionBytes()

Required. Output of the baseline model.

optional string baseline_prediction = 2 [(.google.api.field_behavior) = REQUIRED];

Returns
TypeDescription
ByteString

The bytes for baselinePrediction.

getContext()

public String getContext()

Optional. Text to answer the question.

optional string context = 4 [(.google.api.field_behavior) = OPTIONAL];

Returns
TypeDescription
String

The context.

getContextBytes()

public ByteString getContextBytes()

Optional. Text to answer the question.

optional string context = 4 [(.google.api.field_behavior) = OPTIONAL];

Returns
TypeDescription
ByteString

The bytes for context.

getDefaultInstanceForType()

public PairwiseQuestionAnsweringQualityInstance getDefaultInstanceForType()
Returns
TypeDescription
PairwiseQuestionAnsweringQualityInstance

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()
Returns
TypeDescription
Descriptor
Overrides

getInstruction()

public String getInstruction()

Required. Question Answering prompt for LLM.

optional string instruction = 5 [(.google.api.field_behavior) = REQUIRED];

Returns
TypeDescription
String

The instruction.

getInstructionBytes()

public ByteString getInstructionBytes()

Required. Question Answering prompt for LLM.

optional string instruction = 5 [(.google.api.field_behavior) = REQUIRED];

Returns
TypeDescription
ByteString

The bytes for instruction.

getPrediction()

public String getPrediction()

Required. Output of the candidate model.

optional string prediction = 1 [(.google.api.field_behavior) = REQUIRED];

Returns
TypeDescription
String

The prediction.

getPredictionBytes()

public ByteString getPredictionBytes()

Required. Output of the candidate model.

optional string prediction = 1 [(.google.api.field_behavior) = REQUIRED];

Returns
TypeDescription
ByteString

The bytes for prediction.

getReference()

public String getReference()

Optional. Ground truth used to compare against the prediction.

optional string reference = 3 [(.google.api.field_behavior) = OPTIONAL];

Returns
TypeDescription
String

The reference.

getReferenceBytes()

public ByteString getReferenceBytes()

Optional. Ground truth used to compare against the prediction.

optional string reference = 3 [(.google.api.field_behavior) = OPTIONAL];

Returns
TypeDescription
ByteString

The bytes for reference.

hasBaselinePrediction()

public boolean hasBaselinePrediction()

Required. Output of the baseline model.

optional string baseline_prediction = 2 [(.google.api.field_behavior) = REQUIRED];

Returns
TypeDescription
boolean

Whether the baselinePrediction field is set.

hasContext()

public boolean hasContext()

Optional. Text to answer the question.

optional string context = 4 [(.google.api.field_behavior) = OPTIONAL];

Returns
TypeDescription
boolean

Whether the context field is set.

hasInstruction()

public boolean hasInstruction()

Required. Question Answering prompt for LLM.

optional string instruction = 5 [(.google.api.field_behavior) = REQUIRED];

Returns
TypeDescription
boolean

Whether the instruction field is set.

hasPrediction()

public boolean hasPrediction()

Required. Output of the candidate model.

optional string prediction = 1 [(.google.api.field_behavior) = REQUIRED];

Returns
TypeDescription
boolean

Whether the prediction field is set.

hasReference()

public boolean hasReference()

Optional. Ground truth used to compare against the prediction.

optional string reference = 3 [(.google.api.field_behavior) = OPTIONAL];

Returns
TypeDescription
boolean

Whether the reference field is set.

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
TypeDescription
FieldAccessorTable
Overrides

isInitialized()

public final boolean isInitialized()
Returns
TypeDescription
boolean
Overrides

mergeFrom(PairwiseQuestionAnsweringQualityInstance other)

public PairwiseQuestionAnsweringQualityInstance.Builder mergeFrom(PairwiseQuestionAnsweringQualityInstance other)
Parameter
NameDescription
otherPairwiseQuestionAnsweringQualityInstance
Returns
TypeDescription
PairwiseQuestionAnsweringQualityInstance.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public PairwiseQuestionAnsweringQualityInstance.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
inputCodedInputStream
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
PairwiseQuestionAnsweringQualityInstance.Builder
Overrides
Exceptions
TypeDescription
IOException

mergeFrom(Message other)

public PairwiseQuestionAnsweringQualityInstance.Builder mergeFrom(Message other)
Parameter
NameDescription
otherMessage
Returns
TypeDescription
PairwiseQuestionAnsweringQualityInstance.Builder
Overrides

mergeUnknownFields(UnknownFieldSet unknownFields)

public final PairwiseQuestionAnsweringQualityInstance.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Parameter
NameDescription
unknownFieldsUnknownFieldSet
Returns
TypeDescription
PairwiseQuestionAnsweringQualityInstance.Builder
Overrides

setBaselinePrediction(String value)

public PairwiseQuestionAnsweringQualityInstance.Builder setBaselinePrediction(String value)

Required. Output of the baseline model.

optional string baseline_prediction = 2 [(.google.api.field_behavior) = REQUIRED];

Parameter
NameDescription
valueString

The baselinePrediction to set.

Returns
TypeDescription
PairwiseQuestionAnsweringQualityInstance.Builder

This builder for chaining.

setBaselinePredictionBytes(ByteString value)

public PairwiseQuestionAnsweringQualityInstance.Builder setBaselinePredictionBytes(ByteString value)

Required. Output of the baseline model.

optional string baseline_prediction = 2 [(.google.api.field_behavior) = REQUIRED];

Parameter
NameDescription
valueByteString

The bytes for baselinePrediction to set.

Returns
TypeDescription
PairwiseQuestionAnsweringQualityInstance.Builder

This builder for chaining.

setContext(String value)

public PairwiseQuestionAnsweringQualityInstance.Builder setContext(String value)

Optional. Text to answer the question.

optional string context = 4 [(.google.api.field_behavior) = OPTIONAL];

Parameter
NameDescription
valueString

The context to set.

Returns
TypeDescription
PairwiseQuestionAnsweringQualityInstance.Builder

This builder for chaining.

setContextBytes(ByteString value)

public PairwiseQuestionAnsweringQualityInstance.Builder setContextBytes(ByteString value)

Optional. Text to answer the question.

optional string context = 4 [(.google.api.field_behavior) = OPTIONAL];

Parameter
NameDescription
valueByteString

The bytes for context to set.

Returns
TypeDescription
PairwiseQuestionAnsweringQualityInstance.Builder

This builder for chaining.

setField(Descriptors.FieldDescriptor field, Object value)

public PairwiseQuestionAnsweringQualityInstance.Builder setField(Descriptors.FieldDescriptor field, Object value)
Parameters
NameDescription
fieldFieldDescriptor
valueObject
Returns
TypeDescription
PairwiseQuestionAnsweringQualityInstance.Builder
Overrides

setInstruction(String value)

public PairwiseQuestionAnsweringQualityInstance.Builder setInstruction(String value)

Required. Question Answering prompt for LLM.

optional string instruction = 5 [(.google.api.field_behavior) = REQUIRED];

Parameter
NameDescription
valueString

The instruction to set.

Returns
TypeDescription
PairwiseQuestionAnsweringQualityInstance.Builder

This builder for chaining.

setInstructionBytes(ByteString value)

public PairwiseQuestionAnsweringQualityInstance.Builder setInstructionBytes(ByteString value)

Required. Question Answering prompt for LLM.

optional string instruction = 5 [(.google.api.field_behavior) = REQUIRED];

Parameter
NameDescription
valueByteString

The bytes for instruction to set.

Returns
TypeDescription
PairwiseQuestionAnsweringQualityInstance.Builder

This builder for chaining.

setPrediction(String value)

public PairwiseQuestionAnsweringQualityInstance.Builder setPrediction(String value)

Required. Output of the candidate model.

optional string prediction = 1 [(.google.api.field_behavior) = REQUIRED];

Parameter
NameDescription
valueString

The prediction to set.

Returns
TypeDescription
PairwiseQuestionAnsweringQualityInstance.Builder

This builder for chaining.

setPredictionBytes(ByteString value)

public PairwiseQuestionAnsweringQualityInstance.Builder setPredictionBytes(ByteString value)

Required. Output of the candidate model.

optional string prediction = 1 [(.google.api.field_behavior) = REQUIRED];

Parameter
NameDescription
valueByteString

The bytes for prediction to set.

Returns
TypeDescription
PairwiseQuestionAnsweringQualityInstance.Builder

This builder for chaining.

setReference(String value)

public PairwiseQuestionAnsweringQualityInstance.Builder setReference(String value)

Optional. Ground truth used to compare against the prediction.

optional string reference = 3 [(.google.api.field_behavior) = OPTIONAL];

Parameter
NameDescription
valueString

The reference to set.

Returns
TypeDescription
PairwiseQuestionAnsweringQualityInstance.Builder

This builder for chaining.

setReferenceBytes(ByteString value)

public PairwiseQuestionAnsweringQualityInstance.Builder setReferenceBytes(ByteString value)

Optional. Ground truth used to compare against the prediction.

optional string reference = 3 [(.google.api.field_behavior) = OPTIONAL];

Parameter
NameDescription
valueByteString

The bytes for reference to set.

Returns
TypeDescription
PairwiseQuestionAnsweringQualityInstance.Builder

This builder for chaining.

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

public PairwiseQuestionAnsweringQualityInstance.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
Parameters
NameDescription
fieldFieldDescriptor
indexint
valueObject
Returns
TypeDescription
PairwiseQuestionAnsweringQualityInstance.Builder
Overrides

setUnknownFields(UnknownFieldSet unknownFields)

public final PairwiseQuestionAnsweringQualityInstance.Builder setUnknownFields(UnknownFieldSet unknownFields)
Parameter
NameDescription
unknownFieldsUnknownFieldSet
Returns
TypeDescription
PairwiseQuestionAnsweringQualityInstance.Builder
Overrides