After running a pipeline, typically the first thing to do is to evaluate it. You can do this by running:
Tensorboard is probably one of the best visualization tools around for evaluating machine learning trainings. The Core Engine has Tensorboard support built-in.
Tensorboard Model Analysis
Tensorflow Model Analysis (TFMA) is another tool that lets you evaluate a single pipeline run. It not only lets you see
the overall performance metrics of your pipelines, but also the slicing metrics that you specified in the
Evaluator key in your config.
The TFMA visualization requires additional dependencies.