Class ConversationModel.Builder (4.7.5)

Version 4.7.5

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public static final class ConversationModel.Builder extends GeneratedMessageV3.Builder<ConversationModel.Builder> implements ConversationModelOrBuilder

Represents a conversation model.

Protobuf type google.cloud.dialogflow.v2.ConversationModel

Inheritance

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

Implements

ConversationModelOrBuilder

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)

GeneratedMessageV3.Builder.getUnknownFields()

GeneratedMessageV3.Builder.hasField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.hasOneof(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.internalGetFieldAccessorTable()

GeneratedMessageV3.Builder.internalGetMapField(int)

GeneratedMessageV3.Builder.internalGetMutableMapField(int)

GeneratedMessageV3.Builder.isClean()

GeneratedMessageV3.Builder.isInitialized()

GeneratedMessageV3.Builder.markClean()

GeneratedMessageV3.Builder.mergeUnknownFields(UnknownFieldSet)

GeneratedMessageV3.Builder.newBuilderForField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.onBuilt()

GeneratedMessageV3.Builder.onChanged()

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

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

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

addAllDatasets(Iterable<? extends InputDataset> values)

public ConversationModel.Builder addAllDatasets(Iterable<? extends InputDataset> values)

Required. Datasets used to create model.

repeated .google.cloud.dialogflow.v2.InputDataset datasets = 4 [(.google.api.field_behavior) = REQUIRED];

Parameter

Name	Description
values	Iterable<? extends com.google.cloud.dialogflow.v2.InputDataset>

Returns

Type	Description
ConversationModel.Builder

addDatasets(InputDataset value)

public ConversationModel.Builder addDatasets(InputDataset value)

Required. Datasets used to create model.

repeated .google.cloud.dialogflow.v2.InputDataset datasets = 4 [(.google.api.field_behavior) = REQUIRED];

Parameter

Name	Description
value	InputDataset

Returns

Type	Description
ConversationModel.Builder

addDatasets(InputDataset.Builder builderForValue)

public ConversationModel.Builder addDatasets(InputDataset.Builder builderForValue)

Required. Datasets used to create model.

repeated .google.cloud.dialogflow.v2.InputDataset datasets = 4 [(.google.api.field_behavior) = REQUIRED];

Parameter

Name	Description
builderForValue	InputDataset.Builder

Returns

Type	Description
ConversationModel.Builder

addDatasets(int index, InputDataset value)

public ConversationModel.Builder addDatasets(int index, InputDataset value)

Required. Datasets used to create model.

repeated .google.cloud.dialogflow.v2.InputDataset datasets = 4 [(.google.api.field_behavior) = REQUIRED];

Parameters

Name	Description
index	int
value	InputDataset

Returns

Type	Description
ConversationModel.Builder

addDatasets(int index, InputDataset.Builder builderForValue)

public ConversationModel.Builder addDatasets(int index, InputDataset.Builder builderForValue)

Required. Datasets used to create model.

repeated .google.cloud.dialogflow.v2.InputDataset datasets = 4 [(.google.api.field_behavior) = REQUIRED];

Parameters

Name	Description
index	int
builderForValue	InputDataset.Builder

Returns

Type	Description
ConversationModel.Builder

addDatasetsBuilder()

public InputDataset.Builder addDatasetsBuilder()

Required. Datasets used to create model.

repeated .google.cloud.dialogflow.v2.InputDataset datasets = 4 [(.google.api.field_behavior) = REQUIRED];

Returns

Type	Description
InputDataset.Builder

addDatasetsBuilder(int index)

public InputDataset.Builder addDatasetsBuilder(int index)

Required. Datasets used to create model.

repeated .google.cloud.dialogflow.v2.InputDataset datasets = 4 [(.google.api.field_behavior) = REQUIRED];

Parameter

Name	Description
index	int

Returns

Type	Description
InputDataset.Builder

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

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

Parameters

Name	Description
field	FieldDescriptor
value	Object

Returns

Type	Description
ConversationModel.Builder

Overrides

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

build()

public ConversationModel build()

Returns

Type	Description
ConversationModel

buildPartial()

public ConversationModel buildPartial()

Returns

Type	Description
ConversationModel

clear()

public ConversationModel.Builder clear()

Returns

Type	Description
ConversationModel.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clear()

clearArticleSuggestionModelMetadata()

public ConversationModel.Builder clearArticleSuggestionModelMetadata()

Metadata for article suggestion models.

.google.cloud.dialogflow.v2.ArticleSuggestionModelMetadata article_suggestion_model_metadata = 8;

Returns

Type	Description
ConversationModel.Builder

clearCreateTime()

public ConversationModel.Builder clearCreateTime()

Output only. Creation time of this model.

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

Returns

Type	Description
ConversationModel.Builder

clearDatasets()

public ConversationModel.Builder clearDatasets()

Required. Datasets used to create model.

repeated .google.cloud.dialogflow.v2.InputDataset datasets = 4 [(.google.api.field_behavior) = REQUIRED];

Returns

Type	Description
ConversationModel.Builder

clearDisplayName()

public ConversationModel.Builder clearDisplayName()

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

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

Returns

Type	Description
ConversationModel.Builder	This builder for chaining.

clearField(Descriptors.FieldDescriptor field)

public ConversationModel.Builder clearField(Descriptors.FieldDescriptor field)

Parameter

Name	Description
field	FieldDescriptor

Returns

Type	Description
ConversationModel.Builder

Overrides

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

clearLanguageCode()

public ConversationModel.Builder clearLanguageCode()

Language code for the conversation model. If not specified, the language is en-US. Language at ConversationModel should be set for all non en-us languages. This should be a BCP-47 language tag. Example: "en-US".

string language_code = 19;

Returns

Type	Description
ConversationModel.Builder	This builder for chaining.

clearModelMetadata()

public ConversationModel.Builder clearModelMetadata()

Returns

Type	Description
ConversationModel.Builder

clearName()

public ConversationModel.Builder clearName()

ConversationModel resource name. Format: projects/<Project ID>/conversationModels/<Conversation Model ID>

string name = 1;

Returns

Type	Description
ConversationModel.Builder	This builder for chaining.

clearOneof(Descriptors.OneofDescriptor oneof)

public ConversationModel.Builder clearOneof(Descriptors.OneofDescriptor oneof)

Parameter

Name	Description
oneof	OneofDescriptor

Returns

Type	Description
ConversationModel.Builder

Overrides

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

clearSmartReplyModelMetadata()

public ConversationModel.Builder clearSmartReplyModelMetadata()

Metadata for smart reply models.

.google.cloud.dialogflow.v2.SmartReplyModelMetadata smart_reply_model_metadata = 9;

Returns

Type	Description
ConversationModel.Builder

clearState()

public ConversationModel.Builder clearState()

Output only. State of the model. A model can only serve prediction requests after it gets deployed.

.google.cloud.dialogflow.v2.ConversationModel.State state = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns

Type	Description
ConversationModel.Builder	This builder for chaining.

clone()

public ConversationModel.Builder clone()

Returns

Type	Description
ConversationModel.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clone()

getArticleSuggestionModelMetadata()

public ArticleSuggestionModelMetadata getArticleSuggestionModelMetadata()

Metadata for article suggestion models.

.google.cloud.dialogflow.v2.ArticleSuggestionModelMetadata article_suggestion_model_metadata = 8;

Returns

Type	Description
ArticleSuggestionModelMetadata	The articleSuggestionModelMetadata.

getArticleSuggestionModelMetadataBuilder()

public ArticleSuggestionModelMetadata.Builder getArticleSuggestionModelMetadataBuilder()

Metadata for article suggestion models.

.google.cloud.dialogflow.v2.ArticleSuggestionModelMetadata article_suggestion_model_metadata = 8;

Returns

Type	Description
ArticleSuggestionModelMetadata.Builder

getArticleSuggestionModelMetadataOrBuilder()

public ArticleSuggestionModelMetadataOrBuilder getArticleSuggestionModelMetadataOrBuilder()

Metadata for article suggestion models.

.google.cloud.dialogflow.v2.ArticleSuggestionModelMetadata article_suggestion_model_metadata = 8;

Returns

Type	Description
ArticleSuggestionModelMetadataOrBuilder

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

getDatasets(int index)

public InputDataset getDatasets(int index)

Required. Datasets used to create model.

repeated .google.cloud.dialogflow.v2.InputDataset datasets = 4 [(.google.api.field_behavior) = REQUIRED];

Parameter

Name	Description
index	int

Returns

Type	Description
InputDataset

getDatasetsBuilder(int index)

public InputDataset.Builder getDatasetsBuilder(int index)

Required. Datasets used to create model.

repeated .google.cloud.dialogflow.v2.InputDataset datasets = 4 [(.google.api.field_behavior) = REQUIRED];

Parameter

Name	Description
index	int

Returns

Type	Description
InputDataset.Builder

getDatasetsBuilderList()

public List<InputDataset.Builder> getDatasetsBuilderList()

Required. Datasets used to create model.

repeated .google.cloud.dialogflow.v2.InputDataset datasets = 4 [(.google.api.field_behavior) = REQUIRED];

Returns

Type	Description
List<Builder>

getDatasetsCount()

public int getDatasetsCount()

Required. Datasets used to create model.

repeated .google.cloud.dialogflow.v2.InputDataset datasets = 4 [(.google.api.field_behavior) = REQUIRED];

Returns

Type	Description
int

getDatasetsList()

public List<InputDataset> getDatasetsList()

Required. Datasets used to create model.

repeated .google.cloud.dialogflow.v2.InputDataset datasets = 4 [(.google.api.field_behavior) = REQUIRED];

Returns

Type	Description
List<InputDataset>

getDatasetsOrBuilder(int index)

public InputDatasetOrBuilder getDatasetsOrBuilder(int index)

Required. Datasets used to create model.

repeated .google.cloud.dialogflow.v2.InputDataset datasets = 4 [(.google.api.field_behavior) = REQUIRED];

Parameter

Name	Description
index	int

Returns

Type	Description
InputDatasetOrBuilder

getDatasetsOrBuilderList()

public List<? extends InputDatasetOrBuilder> getDatasetsOrBuilderList()

Required. Datasets used to create model.

repeated .google.cloud.dialogflow.v2.InputDataset datasets = 4 [(.google.api.field_behavior) = REQUIRED];

Returns

Type	Description
List<? extends com.google.cloud.dialogflow.v2.InputDatasetOrBuilder>

getDefaultInstanceForType()

public ConversationModel getDefaultInstanceForType()

Returns

Type	Description
ConversationModel

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()

Returns

Type	Description
Descriptor

Overrides

GeneratedMessageV3.Builder<BuilderType>.getDescriptorForType()

getDisplayName()

public String getDisplayName()

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

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

Returns

Type	Description
String	The displayName.

getDisplayNameBytes()

public ByteString getDisplayNameBytes()

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

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

Returns

Type	Description
ByteString	The bytes for displayName.

getLanguageCode()

public String getLanguageCode()

Language code for the conversation model. If not specified, the language is en-US. Language at ConversationModel should be set for all non en-us languages. This should be a BCP-47 language tag. Example: "en-US".

string language_code = 19;

Returns

Type	Description
String	The languageCode.

getLanguageCodeBytes()

public ByteString getLanguageCodeBytes()

Language code for the conversation model. If not specified, the language is en-US. Language at ConversationModel should be set for all non en-us languages. This should be a BCP-47 language tag. Example: "en-US".

string language_code = 19;

Returns

Type	Description
ByteString	The bytes for languageCode.

getModelMetadataCase()

public ConversationModel.ModelMetadataCase getModelMetadataCase()

Returns

Type	Description
ConversationModel.ModelMetadataCase

getName()

public String getName()

ConversationModel resource name. Format: projects/<Project ID>/conversationModels/<Conversation Model ID>

string name = 1;

Returns

Type	Description
String	The name.

getNameBytes()

public ByteString getNameBytes()

ConversationModel resource name. Format: projects/<Project ID>/conversationModels/<Conversation Model ID>

string name = 1;

Returns

Type	Description
ByteString	The bytes for name.

getSmartReplyModelMetadata()

public SmartReplyModelMetadata getSmartReplyModelMetadata()

Metadata for smart reply models.

.google.cloud.dialogflow.v2.SmartReplyModelMetadata smart_reply_model_metadata = 9;

Returns

Type	Description
SmartReplyModelMetadata	The smartReplyModelMetadata.

getSmartReplyModelMetadataBuilder()

public SmartReplyModelMetadata.Builder getSmartReplyModelMetadataBuilder()

Metadata for smart reply models.

.google.cloud.dialogflow.v2.SmartReplyModelMetadata smart_reply_model_metadata = 9;

Returns

Type	Description
SmartReplyModelMetadata.Builder

getSmartReplyModelMetadataOrBuilder()

public SmartReplyModelMetadataOrBuilder getSmartReplyModelMetadataOrBuilder()

Metadata for smart reply models.

.google.cloud.dialogflow.v2.SmartReplyModelMetadata smart_reply_model_metadata = 9;

Returns

Type	Description
SmartReplyModelMetadataOrBuilder

getState()

public ConversationModel.State getState()

Output only. State of the model. A model can only serve prediction requests after it gets deployed.

.google.cloud.dialogflow.v2.ConversationModel.State state = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns

Type	Description
ConversationModel.State	The state.

getStateValue()

public int getStateValue()

Output only. State of the model. A model can only serve prediction requests after it gets deployed.

.google.cloud.dialogflow.v2.ConversationModel.State state = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns

Type	Description
int	The enum numeric value on the wire for state.

hasArticleSuggestionModelMetadata()

public boolean hasArticleSuggestionModelMetadata()

Metadata for article suggestion models.

.google.cloud.dialogflow.v2.ArticleSuggestionModelMetadata article_suggestion_model_metadata = 8;

Returns

Type	Description
boolean	Whether the articleSuggestionModelMetadata field is set.

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.

hasSmartReplyModelMetadata()

public boolean hasSmartReplyModelMetadata()

Metadata for smart reply models.

.google.cloud.dialogflow.v2.SmartReplyModelMetadata smart_reply_model_metadata = 9;

Returns

Type	Description
boolean	Whether the smartReplyModelMetadata 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()

mergeArticleSuggestionModelMetadata(ArticleSuggestionModelMetadata value)

public ConversationModel.Builder mergeArticleSuggestionModelMetadata(ArticleSuggestionModelMetadata value)

Metadata for article suggestion models.

.google.cloud.dialogflow.v2.ArticleSuggestionModelMetadata article_suggestion_model_metadata = 8;

Parameter

Name	Description
value	ArticleSuggestionModelMetadata

Returns

Type	Description
ConversationModel.Builder

mergeCreateTime(Timestamp value)

public ConversationModel.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
ConversationModel.Builder

mergeFrom(ConversationModel other)

public ConversationModel.Builder mergeFrom(ConversationModel other)

Parameter

Name	Description
other	ConversationModel

Returns

Type	Description
ConversationModel.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

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

Parameters

Name	Description
input	CodedInputStream
extensionRegistry	ExtensionRegistryLite

Returns

Type	Description
ConversationModel.Builder

Overrides

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

Exceptions

Type	Description
IOException

mergeFrom(Message other)

public ConversationModel.Builder mergeFrom(Message other)

Parameter

Name	Description
other	Message

Returns

Type	Description
ConversationModel.Builder

Overrides

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

mergeSmartReplyModelMetadata(SmartReplyModelMetadata value)

public ConversationModel.Builder mergeSmartReplyModelMetadata(SmartReplyModelMetadata value)

Metadata for smart reply models.

.google.cloud.dialogflow.v2.SmartReplyModelMetadata smart_reply_model_metadata = 9;

Parameter

Name	Description
value	SmartReplyModelMetadata

Returns

Type	Description
ConversationModel.Builder

mergeUnknownFields(UnknownFieldSet unknownFields)

public final ConversationModel.Builder mergeUnknownFields(UnknownFieldSet unknownFields)

Parameter

Name	Description
unknownFields	UnknownFieldSet

Returns

Type	Description
ConversationModel.Builder

Overrides

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

removeDatasets(int index)

public ConversationModel.Builder removeDatasets(int index)

Required. Datasets used to create model.

repeated .google.cloud.dialogflow.v2.InputDataset datasets = 4 [(.google.api.field_behavior) = REQUIRED];

Parameter

Name	Description
index	int

Returns

Type	Description
ConversationModel.Builder

setArticleSuggestionModelMetadata(ArticleSuggestionModelMetadata value)

public ConversationModel.Builder setArticleSuggestionModelMetadata(ArticleSuggestionModelMetadata value)

Metadata for article suggestion models.

.google.cloud.dialogflow.v2.ArticleSuggestionModelMetadata article_suggestion_model_metadata = 8;

Parameter

Name	Description
value	ArticleSuggestionModelMetadata

Returns

Type	Description
ConversationModel.Builder

setArticleSuggestionModelMetadata(ArticleSuggestionModelMetadata.Builder builderForValue)

public ConversationModel.Builder setArticleSuggestionModelMetadata(ArticleSuggestionModelMetadata.Builder builderForValue)

Metadata for article suggestion models.

.google.cloud.dialogflow.v2.ArticleSuggestionModelMetadata article_suggestion_model_metadata = 8;

Parameter

Name	Description
builderForValue	ArticleSuggestionModelMetadata.Builder

Returns

Type	Description
ConversationModel.Builder

setCreateTime(Timestamp value)

public ConversationModel.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
ConversationModel.Builder

setCreateTime(Timestamp.Builder builderForValue)

public ConversationModel.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
ConversationModel.Builder

setDatasets(int index, InputDataset value)

public ConversationModel.Builder setDatasets(int index, InputDataset value)

Required. Datasets used to create model.

repeated .google.cloud.dialogflow.v2.InputDataset datasets = 4 [(.google.api.field_behavior) = REQUIRED];

Parameters

Name	Description
index	int
value	InputDataset

Returns

Type	Description
ConversationModel.Builder

setDatasets(int index, InputDataset.Builder builderForValue)

public ConversationModel.Builder setDatasets(int index, InputDataset.Builder builderForValue)

Required. Datasets used to create model.

repeated .google.cloud.dialogflow.v2.InputDataset datasets = 4 [(.google.api.field_behavior) = REQUIRED];

Parameters

Name	Description
index	int
builderForValue	InputDataset.Builder

Returns

Type	Description
ConversationModel.Builder

setDisplayName(String value)

public ConversationModel.Builder setDisplayName(String value)

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

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

Parameter

Name	Description
value	String The displayName to set.

Returns

Type	Description
ConversationModel.Builder	This builder for chaining.

setDisplayNameBytes(ByteString value)

public ConversationModel.Builder setDisplayNameBytes(ByteString value)

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

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

Parameter

Name	Description
value	ByteString The bytes for displayName to set.

Returns

Type	Description
ConversationModel.Builder	This builder for chaining.

setField(Descriptors.FieldDescriptor field, Object value)

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

Parameters

Name	Description
field	FieldDescriptor
value	Object

Returns

Type	Description
ConversationModel.Builder

Overrides

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

setLanguageCode(String value)

public ConversationModel.Builder setLanguageCode(String value)

Language code for the conversation model. If not specified, the language is en-US. Language at ConversationModel should be set for all non en-us languages. This should be a BCP-47 language tag. Example: "en-US".

string language_code = 19;

Parameter

Name	Description
value	String The languageCode to set.

Returns

Type	Description
ConversationModel.Builder	This builder for chaining.

setLanguageCodeBytes(ByteString value)

public ConversationModel.Builder setLanguageCodeBytes(ByteString value)

Language code for the conversation model. If not specified, the language is en-US. Language at ConversationModel should be set for all non en-us languages. This should be a BCP-47 language tag. Example: "en-US".

string language_code = 19;

Parameter

Name	Description
value	ByteString The bytes for languageCode to set.

Returns

Type	Description
ConversationModel.Builder	This builder for chaining.

setName(String value)

public ConversationModel.Builder setName(String value)

ConversationModel resource name. Format: projects/<Project ID>/conversationModels/<Conversation Model ID>

string name = 1;

Parameter

Name	Description
value	String The name to set.

Returns

Type	Description
ConversationModel.Builder	This builder for chaining.

setNameBytes(ByteString value)

public ConversationModel.Builder setNameBytes(ByteString value)

ConversationModel resource name. Format: projects/<Project ID>/conversationModels/<Conversation Model ID>

string name = 1;

Parameter

Name	Description
value	ByteString The bytes for name to set.

Returns

Type	Description
ConversationModel.Builder	This builder for chaining.

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

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

Parameters

Name	Description
field	FieldDescriptor
index	int
value	Object

Returns

Type	Description
ConversationModel.Builder

Overrides

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

setSmartReplyModelMetadata(SmartReplyModelMetadata value)

public ConversationModel.Builder setSmartReplyModelMetadata(SmartReplyModelMetadata value)

Metadata for smart reply models.

.google.cloud.dialogflow.v2.SmartReplyModelMetadata smart_reply_model_metadata = 9;

Parameter

Name	Description
value	SmartReplyModelMetadata

Returns

Type	Description
ConversationModel.Builder

setSmartReplyModelMetadata(SmartReplyModelMetadata.Builder builderForValue)

public ConversationModel.Builder setSmartReplyModelMetadata(SmartReplyModelMetadata.Builder builderForValue)

Metadata for smart reply models.

.google.cloud.dialogflow.v2.SmartReplyModelMetadata smart_reply_model_metadata = 9;

Parameter

Name	Description
builderForValue	SmartReplyModelMetadata.Builder

Returns

Type	Description
ConversationModel.Builder

setState(ConversationModel.State value)

public ConversationModel.Builder setState(ConversationModel.State value)

Output only. State of the model. A model can only serve prediction requests after it gets deployed.

.google.cloud.dialogflow.v2.ConversationModel.State state = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter

Name	Description
value	ConversationModel.State The state to set.

Returns

Type	Description
ConversationModel.Builder	This builder for chaining.

setStateValue(int value)

public ConversationModel.Builder setStateValue(int value)

Output only. State of the model. A model can only serve prediction requests after it gets deployed.

.google.cloud.dialogflow.v2.ConversationModel.State state = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter

Name	Description
value	int The enum numeric value on the wire for state to set.

Returns

Type	Description
ConversationModel.Builder	This builder for chaining.

setUnknownFields(UnknownFieldSet unknownFields)

public final ConversationModel.Builder setUnknownFields(UnknownFieldSet unknownFields)

Parameter

Name	Description
unknownFields	UnknownFieldSet

Returns

Type	Description
ConversationModel.Builder

Overrides

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