Vertex AI V1 API - Class Google::Cloud::AIPlatform::V1::UpdateTensorboardTimeSeriesRequest (v0.22.0)

Version 0.22.0

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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.