Interface SummarizationQualityInstanceOrBuilder (3.52.0)

Version latest

• 3.52.0 (latest)
• 3.50.0
• 3.49.0
• 3.48.0
• 3.47.0
• 3.46.0
• 3.45.0
• 3.44.0
• 3.43.0
• 3.42.0
• 3.41.0
• 3.40.0
• 3.38.0
• 3.37.0
• 3.36.0
• 3.35.0
• 3.34.0
• 3.33.0
• 3.32.0
• 3.31.0
• 3.30.0
• 3.29.0
• 3.28.0
• 3.25.0
• 3.24.0
• 3.23.0
• 3.22.0
• 3.21.0
• 3.20.0
• 3.19.0
• 3.18.0
• 3.17.0
• 3.16.0
• 3.15.0
• 3.14.0
• 3.13.0
• 3.12.0
• 3.11.0
• 3.10.0
• 3.9.0
• 3.8.0
• 3.7.0
• 3.6.0
• 3.5.0
• 3.4.2
• 3.3.0
• 3.2.0
• 3.0.0
• 2.9.8
• 2.8.9
• 2.7.4
• 2.5.3
• 2.4.0

public interface SummarizationQualityInstanceOrBuilder extends MessageOrBuilder

Implements

MessageOrBuilder

Methods

getContext()

public abstract String getContext()

Required. Text to be summarized.

optional string context = 3 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
String	The context.

getContextBytes()

public abstract ByteString getContextBytes()

Required. Text to be summarized.

optional string context = 3 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
ByteString	The bytes for context.

getInstruction()

public abstract String getInstruction()

Required. Summarization prompt for LLM.

optional string instruction = 4 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
String	The instruction.

getInstructionBytes()

public abstract ByteString getInstructionBytes()

Required. Summarization 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 be summarized.

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. Summarization 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.