Vertex AI Tensorboard

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Vertex AI Tensorboard is a managed visualization and tracking service for machine learning experiments on Google Cloud. It helps users log, compare, and analyze metrics such as loss, accuracy, and other custom scalars during model training. Integrated with Vertex AI, it simplifies experiment management and collaboration by providing a centralized dashboard for monitoring model performance and progress.

gcp.aiplatform_tensorboard

Fields

ID	Type	Data Type	Description
_key	core	string
ancestors	core	array<string>
blob_storage_path_prefix	core	string	Output only. Consumer project Cloud Storage path prefix used to store blob data, which can either be a bucket or directory. Does not end with a '/'.
create_time	core	timestamp	Output only. Timestamp when this Tensorboard was created.
datadog_display_name	core	string
description	core	string	Description of this Tensorboard.
encryption_spec	core	json	Customer-managed encryption key spec for a Tensorboard. If set, this Tensorboard and all sub-resources of this Tensorboard will be secured by this key.
etag	core	string	Used to perform a consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
gcp_display_name	core	string	Required. User provided name of this Tensorboard.
is_default	core	bool	Used to indicate if the TensorBoard instance is the default one. Each project & region can have at most one default TensorBoard instance. Creation of a default TensorBoard instance and updating an existing TensorBoard instance to be default will mark all other TensorBoard instances (if any) as non default.
labels	core	array<string>	The labels with user-defined metadata to organize your Tensorboards. 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 Tensorboard (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.
name	core	string	Output only. Name of the Tensorboard. Format: `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
organization_id	core	string
parent	core	string
project_id	core	string
project_number	core	string
region_id	core	string
resource_name	core	string
run_count	core	int64	Output only. The number of Runs stored in this Tensorboard.
satisfies_pzi	core	bool	Output only. Reserved for future use.
satisfies_pzs	core	bool	Output only. Reserved for future use.
tags	core	hstore_csv
update_time	core	timestamp	Output only. Timestamp when this Tensorboard was last updated.
zone_id	core	string