Reference documentation and code samples for the Vertex AI V1 API class Google::Cloud::AIPlatform::V1::UpdateTensorboardRequest.
Request message for TensorboardService.UpdateTensorboard.
Inherits
- Object
Extended By
- Google::Protobuf::MessageExts::ClassMethods
Includes
- Google::Protobuf::MessageExts
Methods
#tensorboard
def tensorboard() -> ::Google::Cloud::AIPlatform::V1::Tensorboard
Returns
-
(::Google::Cloud::AIPlatform::V1::Tensorboard) — Required. The Tensorboard's
name
field is used to identify the Tensorboard to be updated. Format:projects/{project}/locations/{location}/tensorboards/{tensorboard}
#tensorboard=
def tensorboard=(value) -> ::Google::Cloud::AIPlatform::V1::Tensorboard
Parameter
-
value (::Google::Cloud::AIPlatform::V1::Tensorboard) — Required. The Tensorboard's
name
field is used to identify the Tensorboard to be updated. Format:projects/{project}/locations/{location}/tensorboards/{tensorboard}
Returns
-
(::Google::Cloud::AIPlatform::V1::Tensorboard) — Required. The Tensorboard's
name
field is used to identify the Tensorboard to be updated. Format:projects/{project}/locations/{location}/tensorboards/{tensorboard}
#update_mask
def update_mask() -> ::Google::Protobuf::FieldMask
Returns
- (::Google::Protobuf::FieldMask) — Required. Field mask is used to specify the fields to be overwritten in the Tensorboard resource by the update. The fields specified in the update_mask are relative to the resource, not the full request. A field will be overwritten if it is in the mask. If the user does not provide a mask then all fields will be overwritten if new values are specified.
#update_mask=
def update_mask=(value) -> ::Google::Protobuf::FieldMask
Parameter
- value (::Google::Protobuf::FieldMask) — Required. Field mask is used to specify the fields to be overwritten in the Tensorboard resource by the update. The fields specified in the update_mask are relative to the resource, not the full request. A field will be overwritten if it is in the mask. If the user does not provide a mask then all fields will be overwritten if new values are specified.
Returns
- (::Google::Protobuf::FieldMask) — Required. Field mask is used to specify the fields to be overwritten in the Tensorboard resource by the update. The fields specified in the update_mask are relative to the resource, not the full request. A field will be overwritten if it is in the mask. If the user does not provide a mask then all fields will be overwritten if new values are specified.