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public static final class PairwiseSummarizationQualityInstance.Builder extends GeneratedMessageV3.Builder<PairwiseSummarizationQualityInstance.Builder> implements PairwiseSummarizationQualityInstanceOrBuilderSpec for pairwise summarization quality instance.
Protobuf type google.cloud.aiplatform.v1.PairwiseSummarizationQualityInstance
Inheritance
Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > PairwiseSummarizationQualityInstance.BuilderStatic Methods
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()| Returns | |
|---|---|
| Type | Description |
Descriptor |
|
Methods
addRepeatedField(Descriptors.FieldDescriptor field, Object value)
public PairwiseSummarizationQualityInstance.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)| Parameters | |
|---|---|
| Name | Description |
field |
FieldDescriptor |
value |
Object |
| Returns | |
|---|---|
| Type | Description |
PairwiseSummarizationQualityInstance.Builder |
|
build()
public PairwiseSummarizationQualityInstance build()| Returns | |
|---|---|
| Type | Description |
PairwiseSummarizationQualityInstance |
|
buildPartial()
public PairwiseSummarizationQualityInstance buildPartial()| Returns | |
|---|---|
| Type | Description |
PairwiseSummarizationQualityInstance |
|
clear()
public PairwiseSummarizationQualityInstance.Builder clear()| Returns | |
|---|---|
| Type | Description |
PairwiseSummarizationQualityInstance.Builder |
|
clearBaselinePrediction()
public PairwiseSummarizationQualityInstance.Builder clearBaselinePrediction()Required. Output of the baseline model.
optional string baseline_prediction = 2 [(.google.api.field_behavior) = REQUIRED];
| Returns | |
|---|---|
| Type | Description |
PairwiseSummarizationQualityInstance.Builder |
This builder for chaining. |
clearContext()
public PairwiseSummarizationQualityInstance.Builder clearContext()Required. Text to be summarized.
optional string context = 4 [(.google.api.field_behavior) = REQUIRED];
| Returns | |
|---|---|
| Type | Description |
PairwiseSummarizationQualityInstance.Builder |
This builder for chaining. |
clearField(Descriptors.FieldDescriptor field)
public PairwiseSummarizationQualityInstance.Builder clearField(Descriptors.FieldDescriptor field)| Parameter | |
|---|---|
| Name | Description |
field |
FieldDescriptor |
| Returns | |
|---|---|
| Type | Description |
PairwiseSummarizationQualityInstance.Builder |
|
clearInstruction()
public PairwiseSummarizationQualityInstance.Builder clearInstruction()Required. Summarization prompt for LLM.
optional string instruction = 5 [(.google.api.field_behavior) = REQUIRED];
| Returns | |
|---|---|
| Type | Description |
PairwiseSummarizationQualityInstance.Builder |
This builder for chaining. |
clearOneof(Descriptors.OneofDescriptor oneof)
public PairwiseSummarizationQualityInstance.Builder clearOneof(Descriptors.OneofDescriptor oneof)| Parameter | |
|---|---|
| Name | Description |
oneof |
OneofDescriptor |
| Returns | |
|---|---|
| Type | Description |
PairwiseSummarizationQualityInstance.Builder |
|
clearPrediction()
public PairwiseSummarizationQualityInstance.Builder clearPrediction()Required. Output of the candidate model.
optional string prediction = 1 [(.google.api.field_behavior) = REQUIRED];
| Returns | |
|---|---|
| Type | Description |
PairwiseSummarizationQualityInstance.Builder |
This builder for chaining. |
clearReference()
public PairwiseSummarizationQualityInstance.Builder clearReference()Optional. Ground truth used to compare against the prediction.
optional string reference = 3 [(.google.api.field_behavior) = OPTIONAL];
| Returns | |
|---|---|
| Type | Description |
PairwiseSummarizationQualityInstance.Builder |
This builder for chaining. |
clone()
public PairwiseSummarizationQualityInstance.Builder clone()| Returns | |
|---|---|
| Type | Description |
PairwiseSummarizationQualityInstance.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()Required. Text to be summarized.
optional string context = 4 [(.google.api.field_behavior) = REQUIRED];
| Returns | |
|---|---|
| Type | Description |
String |
The context. |
getContextBytes()
public ByteString getContextBytes()Required. Text to be summarized.
optional string context = 4 [(.google.api.field_behavior) = REQUIRED];
| Returns | |
|---|---|
| Type | Description |
ByteString |
The bytes for context. |
getDefaultInstanceForType()
public PairwiseSummarizationQualityInstance getDefaultInstanceForType()| Returns | |
|---|---|
| Type | Description |
PairwiseSummarizationQualityInstance |
|
getDescriptorForType()
public Descriptors.Descriptor getDescriptorForType()| Returns | |
|---|---|
| Type | Description |
Descriptor |
|
getInstruction()
public String getInstruction()Required. Summarization prompt for LLM.
optional string instruction = 5 [(.google.api.field_behavior) = REQUIRED];
| Returns | |
|---|---|
| Type | Description |
String |
The instruction. |
getInstructionBytes()
public ByteString getInstructionBytes()Required. Summarization 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()Required. Text to be summarized.
optional string context = 4 [(.google.api.field_behavior) = REQUIRED];
| Returns | |
|---|---|
| Type | Description |
boolean |
Whether the context field is set. |
hasInstruction()
public boolean hasInstruction()Required. Summarization 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(PairwiseSummarizationQualityInstance other)
public PairwiseSummarizationQualityInstance.Builder mergeFrom(PairwiseSummarizationQualityInstance other)| Parameter | |
|---|---|
| Name | Description |
other |
PairwiseSummarizationQualityInstance |
| Returns | |
|---|---|
| Type | Description |
PairwiseSummarizationQualityInstance.Builder |
|
mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
public PairwiseSummarizationQualityInstance.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)| Parameters | |
|---|---|
| Name | Description |
input |
CodedInputStream |
extensionRegistry |
ExtensionRegistryLite |
| Returns | |
|---|---|
| Type | Description |
PairwiseSummarizationQualityInstance.Builder |
|
| Exceptions | |
|---|---|
| Type | Description |
IOException |
|
mergeFrom(Message other)
public PairwiseSummarizationQualityInstance.Builder mergeFrom(Message other)| Parameter | |
|---|---|
| Name | Description |
other |
Message |
| Returns | |
|---|---|
| Type | Description |
PairwiseSummarizationQualityInstance.Builder |
|
mergeUnknownFields(UnknownFieldSet unknownFields)
public final PairwiseSummarizationQualityInstance.Builder mergeUnknownFields(UnknownFieldSet unknownFields)| Parameter | |
|---|---|
| Name | Description |
unknownFields |
UnknownFieldSet |
| Returns | |
|---|---|
| Type | Description |
PairwiseSummarizationQualityInstance.Builder |
|
setBaselinePrediction(String value)
public PairwiseSummarizationQualityInstance.Builder setBaselinePrediction(String value)Required. Output of the baseline model.
optional string baseline_prediction = 2 [(.google.api.field_behavior) = REQUIRED];
| Parameter | |
|---|---|
| Name | Description |
value |
StringThe baselinePrediction to set. |
| Returns | |
|---|---|
| Type | Description |
PairwiseSummarizationQualityInstance.Builder |
This builder for chaining. |
setBaselinePredictionBytes(ByteString value)
public PairwiseSummarizationQualityInstance.Builder setBaselinePredictionBytes(ByteString value)Required. Output of the baseline model.
optional string baseline_prediction = 2 [(.google.api.field_behavior) = REQUIRED];
| Parameter | |
|---|---|
| Name | Description |
value |
ByteStringThe bytes for baselinePrediction to set. |
| Returns | |
|---|---|
| Type | Description |
PairwiseSummarizationQualityInstance.Builder |
This builder for chaining. |
setContext(String value)
public PairwiseSummarizationQualityInstance.Builder setContext(String value)Required. Text to be summarized.
optional string context = 4 [(.google.api.field_behavior) = REQUIRED];
| Parameter | |
|---|---|
| Name | Description |
value |
StringThe context to set. |
| Returns | |
|---|---|
| Type | Description |
PairwiseSummarizationQualityInstance.Builder |
This builder for chaining. |
setContextBytes(ByteString value)
public PairwiseSummarizationQualityInstance.Builder setContextBytes(ByteString value)Required. Text to be summarized.
optional string context = 4 [(.google.api.field_behavior) = REQUIRED];
| Parameter | |
|---|---|
| Name | Description |
value |
ByteStringThe bytes for context to set. |
| Returns | |
|---|---|
| Type | Description |
PairwiseSummarizationQualityInstance.Builder |
This builder for chaining. |
setField(Descriptors.FieldDescriptor field, Object value)
public PairwiseSummarizationQualityInstance.Builder setField(Descriptors.FieldDescriptor field, Object value)| Parameters | |
|---|---|
| Name | Description |
field |
FieldDescriptor |
value |
Object |
| Returns | |
|---|---|
| Type | Description |
PairwiseSummarizationQualityInstance.Builder |
|
setInstruction(String value)
public PairwiseSummarizationQualityInstance.Builder setInstruction(String value)Required. Summarization prompt for LLM.
optional string instruction = 5 [(.google.api.field_behavior) = REQUIRED];
| Parameter | |
|---|---|
| Name | Description |
value |
StringThe instruction to set. |
| Returns | |
|---|---|
| Type | Description |
PairwiseSummarizationQualityInstance.Builder |
This builder for chaining. |
setInstructionBytes(ByteString value)
public PairwiseSummarizationQualityInstance.Builder setInstructionBytes(ByteString value)Required. Summarization prompt for LLM.
optional string instruction = 5 [(.google.api.field_behavior) = REQUIRED];
| Parameter | |
|---|---|
| Name | Description |
value |
ByteStringThe bytes for instruction to set. |
| Returns | |
|---|---|
| Type | Description |
PairwiseSummarizationQualityInstance.Builder |
This builder for chaining. |
setPrediction(String value)
public PairwiseSummarizationQualityInstance.Builder setPrediction(String value)Required. Output of the candidate model.
optional string prediction = 1 [(.google.api.field_behavior) = REQUIRED];
| Parameter | |
|---|---|
| Name | Description |
value |
StringThe prediction to set. |
| Returns | |
|---|---|
| Type | Description |
PairwiseSummarizationQualityInstance.Builder |
This builder for chaining. |
setPredictionBytes(ByteString value)
public PairwiseSummarizationQualityInstance.Builder setPredictionBytes(ByteString value)Required. Output of the candidate model.
optional string prediction = 1 [(.google.api.field_behavior) = REQUIRED];
| Parameter | |
|---|---|
| Name | Description |
value |
ByteStringThe bytes for prediction to set. |
| Returns | |
|---|---|
| Type | Description |
PairwiseSummarizationQualityInstance.Builder |
This builder for chaining. |
setReference(String value)
public PairwiseSummarizationQualityInstance.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 |
StringThe reference to set. |
| Returns | |
|---|---|
| Type | Description |
PairwiseSummarizationQualityInstance.Builder |
This builder for chaining. |
setReferenceBytes(ByteString value)
public PairwiseSummarizationQualityInstance.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 |
ByteStringThe bytes for reference to set. |
| Returns | |
|---|---|
| Type | Description |
PairwiseSummarizationQualityInstance.Builder |
This builder for chaining. |
setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
public PairwiseSummarizationQualityInstance.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)| Parameters | |
|---|---|
| Name | Description |
field |
FieldDescriptor |
index |
int |
value |
Object |
| Returns | |
|---|---|
| Type | Description |
PairwiseSummarizationQualityInstance.Builder |
|
setUnknownFields(UnknownFieldSet unknownFields)
public final PairwiseSummarizationQualityInstance.Builder setUnknownFields(UnknownFieldSet unknownFields)| Parameter | |
|---|---|
| Name | Description |
unknownFields |
UnknownFieldSet |
| Returns | |
|---|---|
| Type | Description |
PairwiseSummarizationQualityInstance.Builder |
|