Reference documentation and code samples for the Vertex AI V1 API class Google::Cloud::AIPlatform::V1::UpdateTensorboardTimeSeriesRequest.
Request message for TensorboardService.UpdateTensorboardTimeSeries.
Inherits
- Object
Extended By
- Google::Protobuf::MessageExts::ClassMethods
Includes
- Google::Protobuf::MessageExts
Methods
#tensorboard_time_series
def tensorboard_time_series() -> ::Google::Cloud::AIPlatform::V1::TensorboardTimeSeries
Returns
-
(::Google::Cloud::AIPlatform::V1::TensorboardTimeSeries) — Required. The TensorboardTimeSeries'
name
field is used to identify the TensorboardTimeSeries to be updated. Format:projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}
#tensorboard_time_series=
def tensorboard_time_series=(value) -> ::Google::Cloud::AIPlatform::V1::TensorboardTimeSeries
Parameter
-
value (::Google::Cloud::AIPlatform::V1::TensorboardTimeSeries) — Required. The TensorboardTimeSeries'
name
field is used to identify the TensorboardTimeSeries to be updated. Format:projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}
Returns
-
(::Google::Cloud::AIPlatform::V1::TensorboardTimeSeries) — Required. The TensorboardTimeSeries'
name
field is used to identify the TensorboardTimeSeries to be updated. Format:projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}
#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 TensorboardTimeSeries 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 TensorboardTimeSeries 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 TensorboardTimeSeries 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.