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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
Inheritance
Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > PairwiseQuestionAnsweringQualityInstance.BuilderStatic Methods
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()
Returns | |
---|---|
Type | Description |
Descriptor |
Methods
addRepeatedField(Descriptors.FieldDescriptor field, Object value)
public PairwiseQuestionAnsweringQualityInstance.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Parameters | |
---|---|
Name | Description |
field | FieldDescriptor |
value | Object |
Returns | |
---|---|
Type | Description |
PairwiseQuestionAnsweringQualityInstance.Builder |
build()
public PairwiseQuestionAnsweringQualityInstance build()
Returns | |
---|---|
Type | Description |
PairwiseQuestionAnsweringQualityInstance |
buildPartial()
public PairwiseQuestionAnsweringQualityInstance buildPartial()
Returns | |
---|---|
Type | Description |
PairwiseQuestionAnsweringQualityInstance |
clear()
public PairwiseQuestionAnsweringQualityInstance.Builder clear()
Returns | |
---|---|
Type | Description |
PairwiseQuestionAnsweringQualityInstance.Builder |
clearBaselinePrediction()
public PairwiseQuestionAnsweringQualityInstance.Builder clearBaselinePrediction()
Required. Output of the baseline model.
optional string baseline_prediction = 2 [(.google.api.field_behavior) = REQUIRED];
Returns | |
---|---|
Type | Description |
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 | |
---|---|
Type | Description |
PairwiseQuestionAnsweringQualityInstance.Builder | This builder for chaining. |
clearField(Descriptors.FieldDescriptor field)
public PairwiseQuestionAnsweringQualityInstance.Builder clearField(Descriptors.FieldDescriptor field)
Parameter | |
---|---|
Name | Description |
field | FieldDescriptor |
Returns | |
---|---|
Type | Description |
PairwiseQuestionAnsweringQualityInstance.Builder |
clearInstruction()
public PairwiseQuestionAnsweringQualityInstance.Builder clearInstruction()
Required. Question Answering prompt for LLM.
optional string instruction = 5 [(.google.api.field_behavior) = REQUIRED];
Returns | |
---|---|
Type | Description |
PairwiseQuestionAnsweringQualityInstance.Builder | This builder for chaining. |
clearOneof(Descriptors.OneofDescriptor oneof)
public PairwiseQuestionAnsweringQualityInstance.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Parameter | |
---|---|
Name | Description |
oneof | OneofDescriptor |
Returns | |
---|---|
Type | Description |
PairwiseQuestionAnsweringQualityInstance.Builder |
clearPrediction()
public PairwiseQuestionAnsweringQualityInstance.Builder clearPrediction()
Required. Output of the candidate model.
optional string prediction = 1 [(.google.api.field_behavior) = REQUIRED];
Returns | |
---|---|
Type | Description |
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 | |
---|---|
Type | Description |
PairwiseQuestionAnsweringQualityInstance.Builder | This builder for chaining. |
clone()
public PairwiseQuestionAnsweringQualityInstance.Builder clone()
Returns | |
---|---|
Type | Description |
PairwiseQuestionAnsweringQualityInstance.Builder |
getBaselinePrediction()
public String getBaselinePrediction()
Required. Output of the baseline model.
optional string baseline_prediction = 2 [(.google.api.field_behavior) = REQUIRED];
Returns | |
---|---|
Type | Description |
String | The baselinePrediction. |
getBaselinePredictionBytes()
public ByteString getBaselinePredictionBytes()
Required. Output of the baseline model.
optional string baseline_prediction = 2 [(.google.api.field_behavior) = REQUIRED];
Returns | |
---|---|
Type | Description |
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 | |
---|---|
Type | Description |
String | The context. |
getContextBytes()
public ByteString getContextBytes()
Optional. Text to answer the question.
optional string context = 4 [(.google.api.field_behavior) = OPTIONAL];
Returns | |
---|---|
Type | Description |
ByteString | The bytes for context. |
getDefaultInstanceForType()
public PairwiseQuestionAnsweringQualityInstance getDefaultInstanceForType()
Returns | |
---|---|
Type | Description |
PairwiseQuestionAnsweringQualityInstance |
getDescriptorForType()
public Descriptors.Descriptor getDescriptorForType()
Returns | |
---|---|
Type | Description |
Descriptor |
getInstruction()
public String getInstruction()
Required. Question Answering prompt for LLM.
optional string instruction = 5 [(.google.api.field_behavior) = REQUIRED];
Returns | |
---|---|
Type | Description |
String | The instruction. |
getInstructionBytes()
public ByteString getInstructionBytes()
Required. Question Answering prompt for LLM.
optional string instruction = 5 [(.google.api.field_behavior) = REQUIRED];
Returns | |
---|---|
Type | Description |
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 | |
---|---|
Type | Description |
String | The prediction. |
getPredictionBytes()
public ByteString getPredictionBytes()
Required. Output of the candidate model.
optional string prediction = 1 [(.google.api.field_behavior) = REQUIRED];
Returns | |
---|---|
Type | Description |
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 | |
---|---|
Type | Description |
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 | |
---|---|
Type | Description |
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 | |
---|---|
Type | Description |
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 | |
---|---|
Type | Description |
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 | |
---|---|
Type | Description |
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 | |
---|---|
Type | Description |
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 | |
---|---|
Type | Description |
boolean | Whether the reference field is set. |
internalGetFieldAccessorTable()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns | |
---|---|
Type | Description |
FieldAccessorTable |
isInitialized()
public final boolean isInitialized()
Returns | |
---|---|
Type | Description |
boolean |
mergeFrom(PairwiseQuestionAnsweringQualityInstance other)
public PairwiseQuestionAnsweringQualityInstance.Builder mergeFrom(PairwiseQuestionAnsweringQualityInstance other)
Parameter | |
---|---|
Name | Description |
other | PairwiseQuestionAnsweringQualityInstance |
Returns | |
---|---|
Type | Description |
PairwiseQuestionAnsweringQualityInstance.Builder |
mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
public PairwiseQuestionAnsweringQualityInstance.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters | |
---|---|
Name | Description |
input | CodedInputStream |
extensionRegistry | ExtensionRegistryLite |
Returns | |
---|---|
Type | Description |
PairwiseQuestionAnsweringQualityInstance.Builder |
Exceptions | |
---|---|
Type | Description |
IOException |
mergeFrom(Message other)
public PairwiseQuestionAnsweringQualityInstance.Builder mergeFrom(Message other)
Parameter | |
---|---|
Name | Description |
other | Message |
Returns | |
---|---|
Type | Description |
PairwiseQuestionAnsweringQualityInstance.Builder |
mergeUnknownFields(UnknownFieldSet unknownFields)
public final PairwiseQuestionAnsweringQualityInstance.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Parameter | |
---|---|
Name | Description |
unknownFields | UnknownFieldSet |
Returns | |
---|---|
Type | Description |
PairwiseQuestionAnsweringQualityInstance.Builder |
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 | |
---|---|
Name | Description |
value | String The baselinePrediction to set. |
Returns | |
---|---|
Type | Description |
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 | |
---|---|
Name | Description |
value | ByteString The bytes for baselinePrediction to set. |
Returns | |
---|---|
Type | Description |
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 | |
---|---|
Name | Description |
value | String The context to set. |
Returns | |
---|---|
Type | Description |
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 | |
---|---|
Name | Description |
value | ByteString The bytes for context to set. |
Returns | |
---|---|
Type | Description |
PairwiseQuestionAnsweringQualityInstance.Builder | This builder for chaining. |
setField(Descriptors.FieldDescriptor field, Object value)
public PairwiseQuestionAnsweringQualityInstance.Builder setField(Descriptors.FieldDescriptor field, Object value)
Parameters | |
---|---|
Name | Description |
field | FieldDescriptor |
value | Object |
Returns | |
---|---|
Type | Description |
PairwiseQuestionAnsweringQualityInstance.Builder |
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 | |
---|---|
Name | Description |
value | String The instruction to set. |
Returns | |
---|---|
Type | Description |
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 | |
---|---|
Name | Description |
value | ByteString The bytes for instruction to set. |
Returns | |
---|---|
Type | Description |
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 | |
---|---|
Name | Description |
value | String The prediction to set. |
Returns | |
---|---|
Type | Description |
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 | |
---|---|
Name | Description |
value | ByteString The bytes for prediction to set. |
Returns | |
---|---|
Type | Description |
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 | |
---|---|
Name | Description |
value | String The reference to set. |
Returns | |
---|---|
Type | Description |
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 | |
---|---|
Name | Description |
value | ByteString The bytes for reference to set. |
Returns | |
---|---|
Type | Description |
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 | |
---|---|
Name | Description |
field | FieldDescriptor |
index | int |
value | Object |
Returns | |
---|---|
Type | Description |
PairwiseQuestionAnsweringQualityInstance.Builder |
setUnknownFields(UnknownFieldSet unknownFields)
public final PairwiseQuestionAnsweringQualityInstance.Builder setUnknownFields(UnknownFieldSet unknownFields)
Parameter | |
---|---|
Name | Description |
unknownFields | UnknownFieldSet |
Returns | |
---|---|
Type | Description |
PairwiseQuestionAnsweringQualityInstance.Builder |