
bng team SigOpt allows you to search for a single high performing parameter configuration or a set of high performing parameter configurations with SigOpt's Multimetric Optimization. AI Experiments can be created either in a script with calls from a SigOpt client library or by defining the AI Experiment in a YAML file that will be passed to the SigOpt CLI. SigOpt allows you to search for a single high performing parameter configuration or a set of high performing parameter configurations with SigOpt's Multimetric Optimization. SigOpt considers the parameter space to be a single contiguous space for random search, simply ignoring the hyperparameter values if they do not exist for the selected SGD.

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A special SigOpt experiment was run using prior beliefs to explicitly show how these can …Earlier this year, SigOpt launched the Experiment Exchange podcast series as a platform for scientists, researchers, engineers and developers to share lessons from how they designed experiments to develop models that solve some of the most pressing real-world problems.
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Figure 2: Demonstration of how to utilize the SigOpt prior beliefs development tool. Sigopt This SigOpt web page provides the ability to experiment with different values to sculpt your prior beliefs before defining them in a SigOpt experiment.
