Class ConversationModelEvaluation.Builder (4.43.0)

Version 4.43.0

• 4.59.0 (latest)
• 4.58.0
• 4.57.0
• 4.55.0
• 4.54.0
• 4.53.0
• 4.52.0
• 4.51.0
• 4.50.0
• 4.49.0
• 4.48.0
• 4.47.0
• 4.46.0
• 4.45.0
• 4.43.0
• 4.42.0
• 4.41.0
• 4.40.0
• 4.39.0
• 4.38.0
• 4.37.0
• 4.36.0
• 4.35.0
• 4.34.0
• 4.33.0
• 4.30.0
• 4.29.0
• 4.28.0
• 4.27.0
• 4.26.0
• 4.25.0
• 4.24.0
• 4.23.0
• 4.22.0
• 4.21.0
• 4.20.0
• 4.19.0
• 4.18.0
• 4.17.0
• 4.15.0
• 4.14.0
• 4.13.0
• 4.12.0
• 4.11.0
• 4.10.0
• 4.9.1
• 4.8.6
• 4.7.5
• 4.6.0
• 4.5.11
• 4.4.0
• 4.3.1

public static final class ConversationModelEvaluation.Builder extends GeneratedMessageV3.Builder<ConversationModelEvaluation.Builder> implements ConversationModelEvaluationOrBuilder

Represents evaluation result of a conversation model.

Protobuf type google.cloud.dialogflow.v2.ConversationModelEvaluation

Inheritance

Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > ConversationModelEvaluation.Builder

Implements

ConversationModelEvaluationOrBuilder

Inherited Members

AbstractMessage.Builder.findInitializationErrors()

AbstractMessage.Builder.getInitializationErrorString()

AbstractMessage.Builder.internalMergeFrom(AbstractMessageLite)

AbstractMessage.Builder.mergeFrom(byte[])

AbstractMessage.Builder.mergeFrom(byte[],ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(byte[],int,int)

AbstractMessage.Builder.mergeFrom(byte[],int,int,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(ByteString)

AbstractMessage.Builder.mergeFrom(ByteString,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(CodedInputStream)

AbstractMessage.Builder.mergeFrom(CodedInputStream,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(Message)

AbstractMessage.Builder.mergeFrom(InputStream)

AbstractMessage.Builder.mergeFrom(InputStream,ExtensionRegistryLite)

AbstractMessage.Builder.newUninitializedMessageException(Message)

AbstractMessage.Builder.toString()

AbstractMessageLite.Builder.<T>addAll(Iterable<T>,Collection<? super T>)

AbstractMessageLite.Builder.<T>addAll(Iterable<T>,List<? super T>)

AbstractMessageLite.Builder.internalMergeFrom(MessageType)

AbstractMessageLite.Builder.mergeDelimitedFrom(InputStream)

AbstractMessageLite.Builder.mergeDelimitedFrom(InputStream,ExtensionRegistryLite)

AbstractMessageLite.Builder.mergeFrom(MessageLite)

AbstractMessageLite.Builder.newUninitializedMessageException(MessageLite)

GeneratedMessageV3.Builder.addRepeatedField(Descriptors.FieldDescriptor,Object)

GeneratedMessageV3.Builder.clear()

GeneratedMessageV3.Builder.clearField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.clearOneof(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.clone()

GeneratedMessageV3.Builder.getAllFields()

GeneratedMessageV3.Builder.getDescriptorForType()

GeneratedMessageV3.Builder.getField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.getFieldBuilder(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.getOneofFieldDescriptor(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.getParentForChildren()

GeneratedMessageV3.Builder.getRepeatedField(Descriptors.FieldDescriptor,int)

GeneratedMessageV3.Builder.getRepeatedFieldBuilder(Descriptors.FieldDescriptor,int)

GeneratedMessageV3.Builder.getRepeatedFieldCount(Descriptors.FieldDescriptor)

com.google.protobuf.GeneratedMessageV3.Builder.getUnknownFieldSetBuilder()

GeneratedMessageV3.Builder.getUnknownFields()

GeneratedMessageV3.Builder.hasField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.hasOneof(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.internalGetFieldAccessorTable()

GeneratedMessageV3.Builder.internalGetMapField(int)

com.google.protobuf.GeneratedMessageV3.Builder.internalGetMapFieldReflection(int)

GeneratedMessageV3.Builder.internalGetMutableMapField(int)

com.google.protobuf.GeneratedMessageV3.Builder.internalGetMutableMapFieldReflection(int)

GeneratedMessageV3.Builder.isClean()

GeneratedMessageV3.Builder.isInitialized()

GeneratedMessageV3.Builder.markClean()

GeneratedMessageV3.Builder.mergeUnknownFields(UnknownFieldSet)

com.google.protobuf.GeneratedMessageV3.Builder.mergeUnknownLengthDelimitedField(int,com.google.protobuf.ByteString)

com.google.protobuf.GeneratedMessageV3.Builder.mergeUnknownVarintField(int,int)

GeneratedMessageV3.Builder.newBuilderForField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.onBuilt()

GeneratedMessageV3.Builder.onChanged()

com.google.protobuf.GeneratedMessageV3.Builder.parseUnknownField(com.google.protobuf.CodedInputStream,com.google.protobuf.ExtensionRegistryLite,int)

GeneratedMessageV3.Builder.setField(Descriptors.FieldDescriptor,Object)

GeneratedMessageV3.Builder.setRepeatedField(Descriptors.FieldDescriptor,int,Object)

com.google.protobuf.GeneratedMessageV3.Builder.setUnknownFieldSetBuilder(com.google.protobuf.UnknownFieldSet.Builder)

GeneratedMessageV3.Builder.setUnknownFields(UnknownFieldSet)

GeneratedMessageV3.Builder.setUnknownFieldsProto3(UnknownFieldSet)

Object.equals(Object)

Object.finalize()

Object.getClass()

Object.hashCode()

Object.notify()

Object.notifyAll()

Object.wait()

Object.wait(long)

Object.wait(long,int)

Static Methods

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()

Returns
Type	Description
Descriptor

Methods

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

public ConversationModelEvaluation.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)

Parameters
Name	Description
field	FieldDescriptor
value	Object

Returns
Type	Description
ConversationModelEvaluation.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.addRepeatedField(Descriptors.FieldDescriptor field, Object value)

build()

public ConversationModelEvaluation build()

Returns
Type	Description
ConversationModelEvaluation

buildPartial()

public ConversationModelEvaluation buildPartial()

Returns
Type	Description
ConversationModelEvaluation

clear()

public ConversationModelEvaluation.Builder clear()

Returns
Type	Description
ConversationModelEvaluation.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clear()

clearCreateTime()

public ConversationModelEvaluation.Builder clearCreateTime()

Output only. Creation time of this model.

.google.protobuf.Timestamp create_time = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
ConversationModelEvaluation.Builder

clearDisplayName()

public ConversationModelEvaluation.Builder clearDisplayName()

Optional. The display name of the model evaluation. At most 64 bytes long.

string display_name = 2 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
ConversationModelEvaluation.Builder	This builder for chaining.

clearEvaluationConfig()

public ConversationModelEvaluation.Builder clearEvaluationConfig()

Optional. The configuration of the evaluation task.

.google.cloud.dialogflow.v2.EvaluationConfig evaluation_config = 6 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
ConversationModelEvaluation.Builder

clearField(Descriptors.FieldDescriptor field)

public ConversationModelEvaluation.Builder clearField(Descriptors.FieldDescriptor field)

Parameter
Name	Description
field	FieldDescriptor

Returns
Type	Description
ConversationModelEvaluation.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clearField(Descriptors.FieldDescriptor field)

clearMetrics()

public ConversationModelEvaluation.Builder clearMetrics()

Returns
Type	Description
ConversationModelEvaluation.Builder

clearName()

public ConversationModelEvaluation.Builder clearName()

The resource name of the evaluation. Format: projects/<Project ID>/conversationModels/<Conversation Model ID>/evaluations/<Evaluation ID>

string name = 1;

Returns
Type	Description
ConversationModelEvaluation.Builder	This builder for chaining.

clearOneof(Descriptors.OneofDescriptor oneof)

public ConversationModelEvaluation.Builder clearOneof(Descriptors.OneofDescriptor oneof)

Parameter
Name	Description
oneof	OneofDescriptor

Returns
Type	Description
ConversationModelEvaluation.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clearOneof(Descriptors.OneofDescriptor oneof)

clearRawHumanEvalTemplateCsv()

public ConversationModelEvaluation.Builder clearRawHumanEvalTemplateCsv()

Output only. Human eval template in csv format. It tooks real-world conversations provided through input dataset, generates example suggestions for customer to verify quality of the model. For Smart Reply, the generated csv file contains columns of Context, (Suggestions,Q1,Q2)*3, Actual reply. Context contains at most 10 latest messages in the conversation prior to the current suggestion. Q1: "Would you send it as the next message of agent?" Evaluated based on whether the suggest is appropriate to be sent by agent in current context. Q2: "Does the suggestion move the conversation closer to resolution?" Evaluated based on whether the suggestion provide solutions, or answers customer's question or collect information from customer to resolve the customer's issue. Actual reply column contains the actual agent reply sent in the context.

string raw_human_eval_template_csv = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
ConversationModelEvaluation.Builder	This builder for chaining.

clearSmartReplyMetrics()

public ConversationModelEvaluation.Builder clearSmartReplyMetrics()

Output only. Only available when model is for smart reply.

.google.cloud.dialogflow.v2.SmartReplyMetrics smart_reply_metrics = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
ConversationModelEvaluation.Builder

clone()

public ConversationModelEvaluation.Builder clone()

Returns
Type	Description
ConversationModelEvaluation.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clone()

getCreateTime()

public Timestamp getCreateTime()

Output only. Creation time of this model.

.google.protobuf.Timestamp create_time = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
Timestamp	The createTime.

getCreateTimeBuilder()

public Timestamp.Builder getCreateTimeBuilder()

Output only. Creation time of this model.

.google.protobuf.Timestamp create_time = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
Builder

getCreateTimeOrBuilder()

public TimestampOrBuilder getCreateTimeOrBuilder()

Output only. Creation time of this model.

.google.protobuf.Timestamp create_time = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
TimestampOrBuilder

getDefaultInstanceForType()

public ConversationModelEvaluation getDefaultInstanceForType()

Returns
Type	Description
ConversationModelEvaluation

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()

Returns
Type	Description
Descriptor

Overrides

GeneratedMessageV3.Builder<BuilderType>.getDescriptorForType()

getDisplayName()

public String getDisplayName()

Optional. The display name of the model evaluation. At most 64 bytes long.

string display_name = 2 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
String	The displayName.

getDisplayNameBytes()

public ByteString getDisplayNameBytes()

Optional. The display name of the model evaluation. At most 64 bytes long.

string display_name = 2 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
ByteString	The bytes for displayName.

getEvaluationConfig()

public EvaluationConfig getEvaluationConfig()

Optional. The configuration of the evaluation task.

.google.cloud.dialogflow.v2.EvaluationConfig evaluation_config = 6 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
EvaluationConfig	The evaluationConfig.

getEvaluationConfigBuilder()

public EvaluationConfig.Builder getEvaluationConfigBuilder()

Optional. The configuration of the evaluation task.

.google.cloud.dialogflow.v2.EvaluationConfig evaluation_config = 6 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
EvaluationConfig.Builder

getEvaluationConfigOrBuilder()

public EvaluationConfigOrBuilder getEvaluationConfigOrBuilder()

Optional. The configuration of the evaluation task.

.google.cloud.dialogflow.v2.EvaluationConfig evaluation_config = 6 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
EvaluationConfigOrBuilder

getMetricsCase()

public ConversationModelEvaluation.MetricsCase getMetricsCase()

Returns
Type	Description
ConversationModelEvaluation.MetricsCase

getName()

public String getName()

The resource name of the evaluation. Format: projects/<Project ID>/conversationModels/<Conversation Model ID>/evaluations/<Evaluation ID>

string name = 1;

Returns
Type	Description
String	The name.

getNameBytes()

public ByteString getNameBytes()

The resource name of the evaluation. Format: projects/<Project ID>/conversationModels/<Conversation Model ID>/evaluations/<Evaluation ID>

string name = 1;

Returns
Type	Description
ByteString	The bytes for name.

getRawHumanEvalTemplateCsv()

public String getRawHumanEvalTemplateCsv()

Output only. Human eval template in csv format. It tooks real-world conversations provided through input dataset, generates example suggestions for customer to verify quality of the model. For Smart Reply, the generated csv file contains columns of Context, (Suggestions,Q1,Q2)*3, Actual reply. Context contains at most 10 latest messages in the conversation prior to the current suggestion. Q1: "Would you send it as the next message of agent?" Evaluated based on whether the suggest is appropriate to be sent by agent in current context. Q2: "Does the suggestion move the conversation closer to resolution?" Evaluated based on whether the suggestion provide solutions, or answers customer's question or collect information from customer to resolve the customer's issue. Actual reply column contains the actual agent reply sent in the context.

string raw_human_eval_template_csv = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
String	The rawHumanEvalTemplateCsv.

getRawHumanEvalTemplateCsvBytes()

public ByteString getRawHumanEvalTemplateCsvBytes()

Output only. Human eval template in csv format. It tooks real-world conversations provided through input dataset, generates example suggestions for customer to verify quality of the model. For Smart Reply, the generated csv file contains columns of Context, (Suggestions,Q1,Q2)*3, Actual reply. Context contains at most 10 latest messages in the conversation prior to the current suggestion. Q1: "Would you send it as the next message of agent?" Evaluated based on whether the suggest is appropriate to be sent by agent in current context. Q2: "Does the suggestion move the conversation closer to resolution?" Evaluated based on whether the suggestion provide solutions, or answers customer's question or collect information from customer to resolve the customer's issue. Actual reply column contains the actual agent reply sent in the context.

string raw_human_eval_template_csv = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
ByteString	The bytes for rawHumanEvalTemplateCsv.

getSmartReplyMetrics()

public SmartReplyMetrics getSmartReplyMetrics()

Output only. Only available when model is for smart reply.

.google.cloud.dialogflow.v2.SmartReplyMetrics smart_reply_metrics = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
SmartReplyMetrics	The smartReplyMetrics.

getSmartReplyMetricsBuilder()

public SmartReplyMetrics.Builder getSmartReplyMetricsBuilder()

Output only. Only available when model is for smart reply.

.google.cloud.dialogflow.v2.SmartReplyMetrics smart_reply_metrics = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
SmartReplyMetrics.Builder

getSmartReplyMetricsOrBuilder()

public SmartReplyMetricsOrBuilder getSmartReplyMetricsOrBuilder()

Output only. Only available when model is for smart reply.

.google.cloud.dialogflow.v2.SmartReplyMetrics smart_reply_metrics = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
SmartReplyMetricsOrBuilder

hasCreateTime()

public boolean hasCreateTime()

Output only. Creation time of this model.

.google.protobuf.Timestamp create_time = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
boolean	Whether the createTime field is set.

hasEvaluationConfig()

public boolean hasEvaluationConfig()

Optional. The configuration of the evaluation task.

.google.cloud.dialogflow.v2.EvaluationConfig evaluation_config = 6 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
boolean	Whether the evaluationConfig field is set.

hasSmartReplyMetrics()

public boolean hasSmartReplyMetrics()

Output only. Only available when model is for smart reply.

.google.cloud.dialogflow.v2.SmartReplyMetrics smart_reply_metrics = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
boolean	Whether the smartReplyMetrics field is set.

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()

Returns
Type	Description
FieldAccessorTable

Overrides

GeneratedMessageV3.Builder<BuilderType>.internalGetFieldAccessorTable()

isInitialized()

public final boolean isInitialized()

Returns
Type	Description
boolean

Overrides

GeneratedMessageV3.Builder<BuilderType>.isInitialized()

mergeCreateTime(Timestamp value)

public ConversationModelEvaluation.Builder mergeCreateTime(Timestamp value)

Output only. Creation time of this model.

.google.protobuf.Timestamp create_time = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter
Name	Description
value	Timestamp

Returns
Type	Description
ConversationModelEvaluation.Builder

mergeEvaluationConfig(EvaluationConfig value)

public ConversationModelEvaluation.Builder mergeEvaluationConfig(EvaluationConfig value)

Optional. The configuration of the evaluation task.

.google.cloud.dialogflow.v2.EvaluationConfig evaluation_config = 6 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name	Description
value	EvaluationConfig

Returns
Type	Description
ConversationModelEvaluation.Builder

mergeFrom(ConversationModelEvaluation other)

public ConversationModelEvaluation.Builder mergeFrom(ConversationModelEvaluation other)

Parameter
Name	Description
other	ConversationModelEvaluation

Returns
Type	Description
ConversationModelEvaluation.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public ConversationModelEvaluation.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

Parameters
Name	Description
input	CodedInputStream
extensionRegistry	ExtensionRegistryLite

Returns
Type	Description
ConversationModelEvaluation.Builder

Overrides

AbstractMessage.Builder<BuilderType>.mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

Exceptions
Type	Description
IOException

mergeFrom(Message other)

public ConversationModelEvaluation.Builder mergeFrom(Message other)

Parameter
Name	Description
other	Message

Returns
Type	Description
ConversationModelEvaluation.Builder

Overrides

AbstractMessage.Builder<BuilderType>.mergeFrom(Message other)

mergeSmartReplyMetrics(SmartReplyMetrics value)

public ConversationModelEvaluation.Builder mergeSmartReplyMetrics(SmartReplyMetrics value)

Output only. Only available when model is for smart reply.

.google.cloud.dialogflow.v2.SmartReplyMetrics smart_reply_metrics = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter
Name	Description
value	SmartReplyMetrics

Returns
Type	Description
ConversationModelEvaluation.Builder

mergeUnknownFields(UnknownFieldSet unknownFields)

public final ConversationModelEvaluation.Builder mergeUnknownFields(UnknownFieldSet unknownFields)

Parameter
Name	Description
unknownFields	UnknownFieldSet

Returns
Type	Description
ConversationModelEvaluation.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.mergeUnknownFields(UnknownFieldSet unknownFields)

setCreateTime(Timestamp value)

public ConversationModelEvaluation.Builder setCreateTime(Timestamp value)

Output only. Creation time of this model.

.google.protobuf.Timestamp create_time = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter
Name	Description
value	Timestamp

Returns
Type	Description
ConversationModelEvaluation.Builder

setCreateTime(Timestamp.Builder builderForValue)

public ConversationModelEvaluation.Builder setCreateTime(Timestamp.Builder builderForValue)

Output only. Creation time of this model.

.google.protobuf.Timestamp create_time = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter
Name	Description
builderForValue	Builder

Returns
Type	Description
ConversationModelEvaluation.Builder

setDisplayName(String value)

public ConversationModelEvaluation.Builder setDisplayName(String value)

Optional. The display name of the model evaluation. At most 64 bytes long.

string display_name = 2 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name	Description
value	String The displayName to set.

Returns
Type	Description
ConversationModelEvaluation.Builder	This builder for chaining.

setDisplayNameBytes(ByteString value)

public ConversationModelEvaluation.Builder setDisplayNameBytes(ByteString value)

Optional. The display name of the model evaluation. At most 64 bytes long.

string display_name = 2 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name	Description
value	ByteString The bytes for displayName to set.

Returns
Type	Description
ConversationModelEvaluation.Builder	This builder for chaining.

setEvaluationConfig(EvaluationConfig value)

public ConversationModelEvaluation.Builder setEvaluationConfig(EvaluationConfig value)

Optional. The configuration of the evaluation task.

.google.cloud.dialogflow.v2.EvaluationConfig evaluation_config = 6 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name	Description
value	EvaluationConfig

Returns
Type	Description
ConversationModelEvaluation.Builder

setEvaluationConfig(EvaluationConfig.Builder builderForValue)

public ConversationModelEvaluation.Builder setEvaluationConfig(EvaluationConfig.Builder builderForValue)

Optional. The configuration of the evaluation task.

.google.cloud.dialogflow.v2.EvaluationConfig evaluation_config = 6 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name	Description
builderForValue	EvaluationConfig.Builder

Returns
Type	Description
ConversationModelEvaluation.Builder

setField(Descriptors.FieldDescriptor field, Object value)

public ConversationModelEvaluation.Builder setField(Descriptors.FieldDescriptor field, Object value)

Parameters
Name	Description
field	FieldDescriptor
value	Object

Returns
Type	Description
ConversationModelEvaluation.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.setField(Descriptors.FieldDescriptor field, Object value)

setName(String value)

public ConversationModelEvaluation.Builder setName(String value)

The resource name of the evaluation. Format: projects/<Project ID>/conversationModels/<Conversation Model ID>/evaluations/<Evaluation ID>

string name = 1;

Parameter
Name	Description
value	String The name to set.

Returns
Type	Description
ConversationModelEvaluation.Builder	This builder for chaining.

setNameBytes(ByteString value)

public ConversationModelEvaluation.Builder setNameBytes(ByteString value)

The resource name of the evaluation. Format: projects/<Project ID>/conversationModels/<Conversation Model ID>/evaluations/<Evaluation ID>

string name = 1;

Parameter
Name	Description
value	ByteString The bytes for name to set.

Returns
Type	Description
ConversationModelEvaluation.Builder	This builder for chaining.

setRawHumanEvalTemplateCsv(String value)

public ConversationModelEvaluation.Builder setRawHumanEvalTemplateCsv(String value)

Output only. Human eval template in csv format. It tooks real-world conversations provided through input dataset, generates example suggestions for customer to verify quality of the model. For Smart Reply, the generated csv file contains columns of Context, (Suggestions,Q1,Q2)*3, Actual reply. Context contains at most 10 latest messages in the conversation prior to the current suggestion. Q1: "Would you send it as the next message of agent?" Evaluated based on whether the suggest is appropriate to be sent by agent in current context. Q2: "Does the suggestion move the conversation closer to resolution?" Evaluated based on whether the suggestion provide solutions, or answers customer's question or collect information from customer to resolve the customer's issue. Actual reply column contains the actual agent reply sent in the context.

string raw_human_eval_template_csv = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter
Name	Description
value	String The rawHumanEvalTemplateCsv to set.

Returns
Type	Description
ConversationModelEvaluation.Builder	This builder for chaining.

setRawHumanEvalTemplateCsvBytes(ByteString value)

public ConversationModelEvaluation.Builder setRawHumanEvalTemplateCsvBytes(ByteString value)

Output only. Human eval template in csv format. It tooks real-world conversations provided through input dataset, generates example suggestions for customer to verify quality of the model. For Smart Reply, the generated csv file contains columns of Context, (Suggestions,Q1,Q2)*3, Actual reply. Context contains at most 10 latest messages in the conversation prior to the current suggestion. Q1: "Would you send it as the next message of agent?" Evaluated based on whether the suggest is appropriate to be sent by agent in current context. Q2: "Does the suggestion move the conversation closer to resolution?" Evaluated based on whether the suggestion provide solutions, or answers customer's question or collect information from customer to resolve the customer's issue. Actual reply column contains the actual agent reply sent in the context.

string raw_human_eval_template_csv = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter
Name	Description
value	ByteString The bytes for rawHumanEvalTemplateCsv to set.

Returns
Type	Description
ConversationModelEvaluation.Builder	This builder for chaining.

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

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

Parameters
Name	Description
field	FieldDescriptor
index	int
value	Object

Returns
Type	Description
ConversationModelEvaluation.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

setSmartReplyMetrics(SmartReplyMetrics value)

public ConversationModelEvaluation.Builder setSmartReplyMetrics(SmartReplyMetrics value)

Output only. Only available when model is for smart reply.

.google.cloud.dialogflow.v2.SmartReplyMetrics smart_reply_metrics = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter
Name	Description
value	SmartReplyMetrics

Returns
Type	Description
ConversationModelEvaluation.Builder

setSmartReplyMetrics(SmartReplyMetrics.Builder builderForValue)

public ConversationModelEvaluation.Builder setSmartReplyMetrics(SmartReplyMetrics.Builder builderForValue)

Output only. Only available when model is for smart reply.

.google.cloud.dialogflow.v2.SmartReplyMetrics smart_reply_metrics = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter
Name	Description
builderForValue	SmartReplyMetrics.Builder

Returns
Type	Description
ConversationModelEvaluation.Builder

setUnknownFields(UnknownFieldSet unknownFields)

public final ConversationModelEvaluation.Builder setUnknownFields(UnknownFieldSet unknownFields)

Parameter
Name	Description
unknownFields	UnknownFieldSet

Returns
Type	Description
ConversationModelEvaluation.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.setUnknownFields(UnknownFieldSet unknownFields)