Uploaded August 2018 | Updated September 2026, 15 hours ago

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Machine Learning researchers often try multiple configurations
of machine learning algorithms using libraries such as GPyOpt.
The convergence resulting from different configurations is
unknown in advance, but could be visualised in real time, while
multiple alternatives run concurrently in the cloud. Your task is
to create a control panel with architecture support that will allow
researchers to monitor large numbers of simultaneous Python
experiments, interactively shutting some down, or tweaking
parameters via the user interface, in response to what they see.