dimod.AdjDictBQM.normalize

AdjDictBQM.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.

Parameters:

• bias_range (number/pair) – Value/range that the biases of the BQM will be scaled to fit within. If quadratic_range is provided, this range is used to fit the linear biases.
• quadratic_range (number/pair) – The BQM will be scaled so that the quadratic biases fit within this range.
• 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.