REST Resource: projects.locations.tensorboards.experiments.runs

Resource: TensorboardRun

TensorboardRun maps to a specific execution of a training job with a given set of hyperparameter values, model definition, dataset, etc

JSON representation 
{
  "name": string,
  "displayName": string,
  "description": string,
  "createTime": string,
  "updateTime": string,
  "labels": {
    string: string,
    ...
  },
  "etag": string
}
Fields
name

string

Output only. name of the TensorboardRun. Format: projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}
displayName

string

Required. user provided name of this TensorboardRun. This value must be unique among all TensorboardRuns belonging to the same parent TensorboardExperiment.
description

string

description of this TensorboardRun.
createTime

string (Timestamp format)

Output only. timestamp when this TensorboardRun was created.

A timestamp in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits. Examples: "2014-10-02T15:01:23Z" and "2014-10-02T15:01:23.045123456Z".
updateTime

string (Timestamp format)

Output only. timestamp when this TensorboardRun was last updated.

A timestamp in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits. Examples: "2014-10-02T15:01:23Z" and "2014-10-02T15:01:23.045123456Z".
labels

map (key: string, value: string)

The labels with user-defined metadata to organize your TensorboardRuns.

This field will be used to filter and visualize Runs in the Tensorboard UI. For example, a Vertex AI training job can set a label aiplatform.googleapis.com/trainingJobId=xxxxx to all the runs created within that job. An end user can set a label experimentId=xxxxx for all the runs produced in a Jupyter notebook. These runs can be grouped by a label value and visualized together in the Tensorboard UI.

label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. No more than 64 user labels can be associated with one TensorboardRun (System labels are excluded).

See https://goo.gl/xmQnxf for more information and examples of labels. System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable.
etag

string

Used to perform a consistent read-modify-write updates. If not set, a blind "overwrite" update happens.

Methods

batchCreate

 Batch create TensorboardRuns.

create

 Creates a TensorboardRun.

delete

 Deletes a TensorboardRun.

get

 Gets a TensorboardRun.

list

 Lists TensorboardRuns in a Location.

patch

 Updates a TensorboardRun.

write

 Write time series data points into multiple TensorboardTimeSeries under a TensorboardRun.