Welcome to SigOpt. In this tutorial you will connect to SigOpt’s optimization service and use it to find the maximum of an example function.
SigOpt accelerates machine learning model tuning and industrial process engineering, reducing R&D time and resources invested in model tuning or process optimization by up to 100x. We use Franke's function, a two-dimensional optimization problem, to demonstrate SigOpt’s optimization feedback loop.
We first create a two-dimensional Experiment in SigOpt with two doubleParameter objects, x and y. Note that we don’t pass any other information about the function to SigOpt.
Then, we create a feedback loop to find the maximum of the function using SigOpt.