Uses of Class
com.google.cloud.aiplatform.v1.TimeSeriesData
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Packages that use TimeSeriesData Package Description com.google.cloud.aiplatform.v1 A client to Vertex AI API -
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Uses of TimeSeriesData in com.google.cloud.aiplatform.v1
Methods in com.google.cloud.aiplatform.v1 that return TimeSeriesData Modifier and Type Method Description TimeSeriesDataTimeSeriesData.Builder. build()TimeSeriesDataTimeSeriesData.Builder. buildPartial()static TimeSeriesDataTimeSeriesData. getDefaultInstance()TimeSeriesDataTimeSeriesData.Builder. getDefaultInstanceForType()TimeSeriesDataTimeSeriesData. getDefaultInstanceForType()TimeSeriesDataBatchReadTensorboardTimeSeriesDataResponse.Builder. getTimeSeriesData(int index)The returned time series data.TimeSeriesDataBatchReadTensorboardTimeSeriesDataResponse. getTimeSeriesData(int index)The returned time series data.TimeSeriesDataBatchReadTensorboardTimeSeriesDataResponseOrBuilder. getTimeSeriesData(int index)The returned time series data.TimeSeriesDataReadTensorboardTimeSeriesDataResponse.Builder. getTimeSeriesData()The returned time series data.TimeSeriesDataReadTensorboardTimeSeriesDataResponse. getTimeSeriesData()The returned time series data.TimeSeriesDataReadTensorboardTimeSeriesDataResponseOrBuilder. getTimeSeriesData()The returned time series data.TimeSeriesDataWriteTensorboardRunDataRequest.Builder. getTimeSeriesData(int index)Required.TimeSeriesDataWriteTensorboardRunDataRequest. getTimeSeriesData(int index)Required.TimeSeriesDataWriteTensorboardRunDataRequestOrBuilder. getTimeSeriesData(int index)Required.static TimeSeriesDataTimeSeriesData. parseDelimitedFrom(InputStream input)static TimeSeriesDataTimeSeriesData. parseDelimitedFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)static TimeSeriesDataTimeSeriesData. parseFrom(byte[] data)static TimeSeriesDataTimeSeriesData. parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)static TimeSeriesDataTimeSeriesData. parseFrom(com.google.protobuf.ByteString data)static TimeSeriesDataTimeSeriesData. parseFrom(com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)static TimeSeriesDataTimeSeriesData. parseFrom(com.google.protobuf.CodedInputStream input)static TimeSeriesDataTimeSeriesData. parseFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)static TimeSeriesDataTimeSeriesData. parseFrom(InputStream input)static TimeSeriesDataTimeSeriesData. parseFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)static TimeSeriesDataTimeSeriesData. parseFrom(ByteBuffer data)static TimeSeriesDataTimeSeriesData. parseFrom(ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)Methods in com.google.cloud.aiplatform.v1 that return types with arguments of type TimeSeriesData Modifier and Type Method Description com.google.protobuf.Parser<TimeSeriesData>TimeSeriesData. getParserForType()List<TimeSeriesData>BatchReadTensorboardTimeSeriesDataResponse.Builder. getTimeSeriesDataList()The returned time series data.List<TimeSeriesData>BatchReadTensorboardTimeSeriesDataResponse. getTimeSeriesDataList()The returned time series data.List<TimeSeriesData>BatchReadTensorboardTimeSeriesDataResponseOrBuilder. getTimeSeriesDataList()The returned time series data.List<TimeSeriesData>WriteTensorboardRunDataRequest.Builder. getTimeSeriesDataList()Required.List<TimeSeriesData>WriteTensorboardRunDataRequest. getTimeSeriesDataList()Required.List<TimeSeriesData>WriteTensorboardRunDataRequestOrBuilder. getTimeSeriesDataList()Required.static com.google.protobuf.Parser<TimeSeriesData>TimeSeriesData. parser()Methods in com.google.cloud.aiplatform.v1 with parameters of type TimeSeriesData Modifier and Type Method Description BatchReadTensorboardTimeSeriesDataResponse.BuilderBatchReadTensorboardTimeSeriesDataResponse.Builder. addTimeSeriesData(int index, TimeSeriesData value)The returned time series data.BatchReadTensorboardTimeSeriesDataResponse.BuilderBatchReadTensorboardTimeSeriesDataResponse.Builder. addTimeSeriesData(TimeSeriesData value)The returned time series data.WriteTensorboardRunDataRequest.BuilderWriteTensorboardRunDataRequest.Builder. addTimeSeriesData(int index, TimeSeriesData value)Required.WriteTensorboardRunDataRequest.BuilderWriteTensorboardRunDataRequest.Builder. addTimeSeriesData(TimeSeriesData value)Required.TimeSeriesData.BuilderTimeSeriesData.Builder. mergeFrom(TimeSeriesData other)ReadTensorboardTimeSeriesDataResponse.BuilderReadTensorboardTimeSeriesDataResponse.Builder. mergeTimeSeriesData(TimeSeriesData value)The returned time series data.static TimeSeriesData.BuilderTimeSeriesData. newBuilder(TimeSeriesData prototype)BatchReadTensorboardTimeSeriesDataResponse.BuilderBatchReadTensorboardTimeSeriesDataResponse.Builder. setTimeSeriesData(int index, TimeSeriesData value)The returned time series data.ReadTensorboardTimeSeriesDataResponse.BuilderReadTensorboardTimeSeriesDataResponse.Builder. setTimeSeriesData(TimeSeriesData value)The returned time series data.WriteTensorboardRunDataRequest.BuilderWriteTensorboardRunDataRequest.Builder. setTimeSeriesData(int index, TimeSeriesData value)Required.Method parameters in com.google.cloud.aiplatform.v1 with type arguments of type TimeSeriesData Modifier and Type Method Description BatchReadTensorboardTimeSeriesDataResponse.BuilderBatchReadTensorboardTimeSeriesDataResponse.Builder. addAllTimeSeriesData(Iterable<? extends TimeSeriesData> values)The returned time series data.WriteTensorboardRunDataRequest.BuilderWriteTensorboardRunDataRequest.Builder. addAllTimeSeriesData(Iterable<? extends TimeSeriesData> values)Required.WriteTensorboardRunDataResponseTensorboardServiceClient. writeTensorboardRunData(TensorboardRunName tensorboardRun, List<TimeSeriesData> timeSeriesData)Write time series data points into multiple TensorboardTimeSeries under a TensorboardRun.WriteTensorboardRunDataResponseTensorboardServiceClient. writeTensorboardRunData(String tensorboardRun, List<TimeSeriesData> timeSeriesData)Write time series data points into multiple TensorboardTimeSeries under a TensorboardRun.
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