Vertex AI V1 API - Class Google::Cloud::AIPlatform::V1::UpdateTensorboardRequest (v0.23.0)

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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 is overwritten if it's in the mask. If the user does not provide a mask then all fields are 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 is overwritten if it's in the mask. If the user does not provide a mask then all fields are 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 is overwritten if it's in the mask. If the user does not provide a mask then all fields are overwritten if new values are specified.