When positive, divides the model objective by the specified value to
avoid numerical issues that may result from very large or very small
objective coefficients. The default value of 0 decides on the scaling
automatically. A value less than zero uses the maximum coefficient to
the specified power as the scaling (so
scale by the square root of the largest objective coefficient).
Note that objective scaling can lead to large dual violations on the original, unscaled objective when the optimality tolerance with the scaled objective is barely satisfied, so it should be used sparingly. Note also that scaling will be more effective when all objective coefficients are of similar orders of magnitude, as opposed to objectives with a wide range of coefficients. In the latter case, consider using the Multiple Objectives feature instead.
For examples of how to query or modify parameter values from our different APIs, refer to our Parameter Examples.