time_series

Overview

Name	time_series
Type	Resource
Id	google.aiplatform.time_series

Fields

Name	Datatype	Description
name	string	Output only. Name of the TensorboardTimeSeries.
description	string	Description of this TensorboardTimeSeries.
createTime	string	Output only. Timestamp when this TensorboardTimeSeries was created.
displayName	string	Required. User provided name of this TensorboardTimeSeries. This value should be unique among all TensorboardTimeSeries resources belonging to the same TensorboardRun resource (parent resource).
etag	string	Used to perform a consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
metadata	object	Describes metadata for a TensorboardTimeSeries.
pluginData	string	Data of the current plugin, with the size limited to 65KB.
pluginName	string	Immutable. Name of the plugin this time series pertain to. Such as Scalar, Tensor, Blob
updateTime	string	Output only. Timestamp when this TensorboardTimeSeries was last updated.
valueType	string	Required. Immutable. Type of TensorboardTimeSeries value.

Methods

Name	Accessible by	Required Params	Description
get	SELECT	experimentsId, locationsId, projectsId, runsId, tensorboardsId, timeSeriesId	Gets a TensorboardTimeSeries.
list	SELECT	experimentsId, locationsId, projectsId, runsId, tensorboardsId	Lists TensorboardTimeSeries in a Location.
create	INSERT	experimentsId, locationsId, projectsId, runsId, tensorboardsId	Creates a TensorboardTimeSeries.
delete	DELETE	experimentsId, locationsId, projectsId, runsId, tensorboardsId, timeSeriesId	Deletes a TensorboardTimeSeries.
_list	EXEC	experimentsId, locationsId, projectsId, runsId, tensorboardsId	Lists TensorboardTimeSeries in a Location.
batch_create	EXEC	experimentsId, locationsId, projectsId, runsId, tensorboardsId	Batch create TensorboardTimeSeries that belong to a TensorboardExperiment.
batch_read	EXEC	experimentsId, locationsId, projectsId, runsId, tensorboardsId	Reads multiple TensorboardTimeSeries' data. The data point number limit is 1000 for scalars, 100 for tensors and blob references. If the number of data points stored is less than the limit, all data is returned. Otherwise, the number limit of data points is randomly selected from this time series and returned.
export_tensorboard_time_series	EXEC	experimentsId, locationsId, projectsId, runsId, tensorboardsId, timeSeriesId	Exports a TensorboardTimeSeries' data. Data is returned in paginated responses.
patch	EXEC	experimentsId, locationsId, projectsId, runsId, tensorboardsId, timeSeriesId	Updates a TensorboardTimeSeries.
read	EXEC	experimentsId, locationsId, projectsId, runsId, tensorboardsId, timeSeriesId	Reads a TensorboardTimeSeries' data. By default, if the number of data points stored is less than 1000, all data is returned. Otherwise, 1000 data points is randomly selected from this time series and returned. This value can be changed by changing max_data_points, which can't be greater than 10k.
read_blob_data	EXEC	experimentsId, locationsId, projectsId, runsId, tensorboardsId, timeSeriesId	Gets bytes of TensorboardBlobs. This is to allow reading blob data stored in consumer project's Cloud Storage bucket without users having to obtain Cloud Storage access permission.