public static final class ConversationDatasetsGrpc.ConversationDatasetsBlockingStub extends AbstractBlockingStub<ConversationDatasetsGrpc.ConversationDatasetsBlockingStub>
Conversation datasets.
Conversation datasets contain raw conversation files and their
customizable metadata that can be used for model training.
Inheritance
java.lang.Object >
io.grpc.stub.AbstractStub >
io.grpc.stub.AbstractBlockingStub >
ConversationDatasetsGrpc.ConversationDatasetsBlockingStub
Inherited Members
io.grpc.stub.AbstractBlockingStub.<T>newStub(io.grpc.stub.AbstractStub.StubFactory<T>,io.grpc.Channel)
io.grpc.stub.AbstractBlockingStub.<T>newStub(io.grpc.stub.AbstractStub.StubFactory<T>,io.grpc.Channel,io.grpc.CallOptions)
io.grpc.stub.AbstractStub.<T>withOption(io.grpc.CallOptions.Key<T>,T)
io.grpc.stub.AbstractStub.build(io.grpc.Channel,io.grpc.CallOptions)
io.grpc.stub.AbstractStub.getCallOptions()
io.grpc.stub.AbstractStub.getChannel()
io.grpc.stub.AbstractStub.withCallCredentials(io.grpc.CallCredentials)
io.grpc.stub.AbstractStub.withChannel(io.grpc.Channel)
io.grpc.stub.AbstractStub.withCompression(java.lang.String)
io.grpc.stub.AbstractStub.withDeadline(io.grpc.Deadline)
io.grpc.stub.AbstractStub.withDeadlineAfter(long,java.util.concurrent.TimeUnit)
io.grpc.stub.AbstractStub.withExecutor(java.util.concurrent.Executor)
io.grpc.stub.AbstractStub.withInterceptors(io.grpc.ClientInterceptor...)
io.grpc.stub.AbstractStub.withMaxInboundMessageSize(int)
io.grpc.stub.AbstractStub.withMaxOutboundMessageSize(int)
io.grpc.stub.AbstractStub.withWaitForReady()
Methods
build(Channel channel, CallOptions callOptions)
protected ConversationDatasetsGrpc.ConversationDatasetsBlockingStub build(Channel channel, CallOptions callOptions)
Parameters
Name |
Description |
channel |
io.grpc.Channel
|
callOptions |
io.grpc.CallOptions
|
Returns
Overrides
io.grpc.stub.AbstractStub.build(io.grpc.Channel,io.grpc.CallOptions)
createConversationDataset(CreateConversationDatasetRequest request)
public Operation createConversationDataset(CreateConversationDatasetRequest request)
Creates a new conversation dataset.
This method is a long-running
operation.
The returned Operation
type has the following method-specific fields:
metadata
:
CreateConversationDatasetOperationMetadata
response
:
ConversationDataset
Parameter
Returns
deleteConversationDataset(DeleteConversationDatasetRequest request)
public Operation deleteConversationDataset(DeleteConversationDatasetRequest request)
Deletes the specified conversation dataset.
This method is a long-running
operation.
The returned Operation
type has the following method-specific fields:
metadata
:
DeleteConversationDatasetOperationMetadata
response
: An Empty
message
Parameter
Returns
getConversationDataset(GetConversationDatasetRequest request)
public ConversationDataset getConversationDataset(GetConversationDatasetRequest request)
Retrieves the specified conversation dataset.
Parameter
Returns
importConversationData(ImportConversationDataRequest request)
public Operation importConversationData(ImportConversationDataRequest request)
Import data into the specified conversation dataset. Note that it
is not allowed to import data to a conversation dataset that
already has data in it.
This method is a long-running
operation.
The returned Operation
type has the following method-specific fields:
metadata
:
ImportConversationDataOperationMetadata
response
:
ImportConversationDataOperationResponse
Parameter
Returns
listConversationDatasets(ListConversationDatasetsRequest request)
public ListConversationDatasetsResponse listConversationDatasets(ListConversationDatasetsRequest request)
Returns the list of all conversation datasets in the specified
project and location.
Parameter
Returns