Gili Rosenberg
Gili Rosenberg
Thanks, @arcondello I wasn't aware of this option, that should work nicely for now! But still it would be nice to have a more direct integration, to avoid the overhead...
If you feel strongly that "Quadratic"/"Polynomial" are redundant then another option is keeping it `BinaryPolynomial` and switching the BQM to `BinaryQuadratic`. That would be disruptive though. I still think `BinaryPolynomialModel`...
@arcondello Thanks for pointing that out, I didn't see the other ticket previously. Perhaps it's still useful to see multiple requests for the same feature? Feel free to close it...
The density is low, the max degree is 6 or more (but not much more), and there could be hundreds or thousands of variables. > I am a bit hesitant...
> Another is as a weighted graph, in which case a weight of 0 is perfectly valid. A third is a sparse matrix, where again it's not clear what the...
> Another key reason we support this format is for consistency with QuadraticModel, where variables have additional information like the upper and lower bounds for integer/real variables. In that case...
> Another option would be some sort of global or class-level toggle for this behavior. That would allow us to gracefully deprecate the existing behavior, if we did decide to...