AdjMapBQM.normalize(bias_range=1, quadratic_range=None, ignored_variables=None, ignored_interactions=None, ignore_offset=False)

Normalizes the biases of the binary quadratic model such that they fall in the provided range(s), and adjusts the offset appropriately.

If quadratic_range is provided, then bias_range will be treated as the range for the linear biases and quadratic_range will be used for the range of the quadratic biases.

  • bias_range (number/pair) – Value/range by which to normalize the all the biases, or if quadratic_range is provided, just the linear biases.
  • quadratic_range (number/pair) – Value/range by which to normalize the quadratic biases.
  • ignored_variables (iterable, optional) – Biases associated with these variables are not scaled.
  • ignored_interactions (iterable[tuple], optional) – As an iterable of 2-tuples. Biases associated with these interactions are not scaled.
  • ignore_offset (bool, default=False) – If True, the offset is not scaled.