Vertex AI V1 API - Class Google::Cloud::AIPlatform::V1::UpdateTensorboardTimeSeriesRequest (v0.2.0)

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 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 TensorboardTimeSeries 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 TensorboardTimeSeries 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.