Compare trained and evaluated models: Notebook

As a Data Scientist, this is a common workflow: Train a model locally (in my Notebook), log the parameters, log the training time series metrics to Vertex AI TensorBoard , and log the evaluation metrics.

You can view the experiment runs associated with an experiment on the experiments page in the Google Cloud console.

Notebook: Compare locally trained models

In the "Vertex AI: Track parameters and metrics for locally trained models" notebook, you'll learn how to use Vertex AI Experiments to:

• Log the model parameters.
• Log the loss and metrics on every epoch to TensorBoard.
• Log the evaluation metrics.
• Compare two experiment runs.

Relevant content

• Log data to an experiment run
• Assign backing Vertex AI TensorBoard resource for Time Series Metric
• Log summary metrics
• Log time series metrics
• Log parameters