Visualization of Results

Finding the best model to deploy for a task at hand is a semi-automated process. The data scientist runs a set of experiments in parallel, visualizes comparative results, based on which the next set of experiments are planned. Syne Tune does not only allow you to run many experiments in parallel, but also provides tooling to rapidly create customized visualization in order to gain insights for the next steps, or to present final results to clients. This tutorial provides an overview of visualization facilities.

Note

In order to run the code in this tutorial, you need to have installed Syne Tune from source. Also, make sure to have installed the blackbox-repository dependencies.

• Visualization Results of a Single Experiment
• Visualization of Results from many Experiments
• Visualizing Learning Curves