Interface UpdateTensorboardTimeSeriesRequestOrBuilder
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- All Superinterfaces:
com.google.protobuf.MessageLiteOrBuilder
,com.google.protobuf.MessageOrBuilder
- All Known Implementing Classes:
UpdateTensorboardTimeSeriesRequest
,UpdateTensorboardTimeSeriesRequest.Builder
public interface UpdateTensorboardTimeSeriesRequestOrBuilder extends com.google.protobuf.MessageOrBuilder
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Method Summary
All Methods Instance Methods Abstract Methods Modifier and Type Method Description TensorboardTimeSeries
getTensorboardTimeSeries()
Required.TensorboardTimeSeriesOrBuilder
getTensorboardTimeSeriesOrBuilder()
Required.com.google.protobuf.FieldMask
getUpdateMask()
Required.com.google.protobuf.FieldMaskOrBuilder
getUpdateMaskOrBuilder()
Required.boolean
hasTensorboardTimeSeries()
Required.boolean
hasUpdateMask()
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Methods inherited from interface com.google.protobuf.MessageOrBuilder
findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof
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Method Detail
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hasUpdateMask
boolean hasUpdateMask()
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.
.google.protobuf.FieldMask update_mask = 1 [(.google.api.field_behavior) = REQUIRED];
- Returns:
- Whether the updateMask field is set.
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getUpdateMask
com.google.protobuf.FieldMask getUpdateMask()
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.
.google.protobuf.FieldMask update_mask = 1 [(.google.api.field_behavior) = REQUIRED];
- Returns:
- The updateMask.
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getUpdateMaskOrBuilder
com.google.protobuf.FieldMaskOrBuilder getUpdateMaskOrBuilder()
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.
.google.protobuf.FieldMask update_mask = 1 [(.google.api.field_behavior) = REQUIRED];
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hasTensorboardTimeSeries
boolean hasTensorboardTimeSeries()
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}`
.google.cloud.aiplatform.v1beta1.TensorboardTimeSeries tensorboard_time_series = 2 [(.google.api.field_behavior) = REQUIRED];
- Returns:
- Whether the tensorboardTimeSeries field is set.
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getTensorboardTimeSeries
TensorboardTimeSeries getTensorboardTimeSeries()
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}`
.google.cloud.aiplatform.v1beta1.TensorboardTimeSeries tensorboard_time_series = 2 [(.google.api.field_behavior) = REQUIRED];
- Returns:
- The tensorboardTimeSeries.
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getTensorboardTimeSeriesOrBuilder
TensorboardTimeSeriesOrBuilder getTensorboardTimeSeriesOrBuilder()
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}`
.google.cloud.aiplatform.v1beta1.TensorboardTimeSeries tensorboard_time_series = 2 [(.google.api.field_behavior) = REQUIRED];
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