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public interface QuestionAnsweringQualityInstanceOrBuilder extends MessageOrBuilderImplements
MessageOrBuilderMethods
getContext()
public abstract String getContext()Required. Text to answer the question.
optional string context = 3 [(.google.api.field_behavior) = REQUIRED];
| Returns | |
|---|---|
| Type | Description |
String |
The context. |
getContextBytes()
public abstract ByteString getContextBytes()Required. Text to answer the question.
optional string context = 3 [(.google.api.field_behavior) = REQUIRED];
| Returns | |
|---|---|
| Type | Description |
ByteString |
The bytes for context. |
getInstruction()
public abstract String getInstruction()Required. Question Answering prompt for LLM.
optional string instruction = 4 [(.google.api.field_behavior) = REQUIRED];
| Returns | |
|---|---|
| Type | Description |
String |
The instruction. |
getInstructionBytes()
public abstract ByteString getInstructionBytes()Required. Question Answering prompt for LLM.
optional string instruction = 4 [(.google.api.field_behavior) = REQUIRED];
| Returns | |
|---|---|
| Type | Description |
ByteString |
The bytes for instruction. |
getPrediction()
public abstract String getPrediction()Required. Output of the evaluated model.
optional string prediction = 1 [(.google.api.field_behavior) = REQUIRED];
| Returns | |
|---|---|
| Type | Description |
String |
The prediction. |
getPredictionBytes()
public abstract ByteString getPredictionBytes()Required. Output of the evaluated model.
optional string prediction = 1 [(.google.api.field_behavior) = REQUIRED];
| Returns | |
|---|---|
| Type | Description |
ByteString |
The bytes for prediction. |
getReference()
public abstract String getReference()Optional. Ground truth used to compare against the prediction.
optional string reference = 2 [(.google.api.field_behavior) = OPTIONAL];
| Returns | |
|---|---|
| Type | Description |
String |
The reference. |
getReferenceBytes()
public abstract ByteString getReferenceBytes()Optional. Ground truth used to compare against the prediction.
optional string reference = 2 [(.google.api.field_behavior) = OPTIONAL];
| Returns | |
|---|---|
| Type | Description |
ByteString |
The bytes for reference. |
hasContext()
public abstract boolean hasContext()Required. Text to answer the question.
optional string context = 3 [(.google.api.field_behavior) = REQUIRED];
| Returns | |
|---|---|
| Type | Description |
boolean |
Whether the context field is set. |
hasInstruction()
public abstract boolean hasInstruction()Required. Question Answering prompt for LLM.
optional string instruction = 4 [(.google.api.field_behavior) = REQUIRED];
| Returns | |
|---|---|
| Type | Description |
boolean |
Whether the instruction field is set. |
hasPrediction()
public abstract boolean hasPrediction()Required. Output of the evaluated model.
optional string prediction = 1 [(.google.api.field_behavior) = REQUIRED];
| Returns | |
|---|---|
| Type | Description |
boolean |
Whether the prediction field is set. |
hasReference()
public abstract boolean hasReference()Optional. Ground truth used to compare against the prediction.
optional string reference = 2 [(.google.api.field_behavior) = OPTIONAL];
| Returns | |
|---|---|
| Type | Description |
boolean |
Whether the reference field is set. |