Getting Started with SigOpt
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 twodimensional optimization problem, to demonstrate SigOpt’s optimization feedback loop.
We first create a twodimensional Experiment in SigOpt with two double
Parameter 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.
 Receive a Suggestion from SigOpt’s API.
 Evaluate the function using the parameters from the Suggestion.
 Report an Observation back to SigOpt.
x
and y
.Name  Franke Optimization  

Parameters 

x
and y
.x
:y
:Value
: Learn more with the developer documentation for our API Client.