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experiment run is part of experiment From the official documentation: “You can view the experiment runs associated with an experiment on the experiments page in the Google Cloud console.”
experiment works with pipeline run From the official documentation: “When you want to compare Pipeline runs, you should associate your pipeline run(s) to an experiment.”
experiment works with Vertex AI TensorBoard From the official documentation: “Create an experiment and, optionally, associate a Vertex AI TensorBoard instance using the Agent Platform SDK for Python.”
pipeline job is part of experiment From the official documentation: “An experiment is a context that can contain a set of n experiment runs in addition to pipeline runs where a user can investigate, as a group, different configurations such as input artifacts or hyperparameters.”
experiment run works with Vertex AI TensorBoard From the official documentation: “A backing TensorBoard resource to enable and store time series metrics logged to this experiment run using [`log_time_series_metrics`](https://cloud.google.com/python/docs/reference/aiplatform/latest/google.cloud.aiplatform#google_cloud_aiplatform_log_time_series_metrics).”