BinaryQuadraticModel.normalize(bias_range=1, quadratic_range=None, ignored_variables=None, ignored_interactions=None, ignore_offset=False)[source]

Normalize the biases of a binary quadratic model.

Normalizes the biases to fall in the provided range(s), and adjusts the offset appropriately.

If quadratic_range is provided, bias_range is used for the linear biases and quadratic_range for the quadratic biases.

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

  • quadratic_range (number/pair) – The BQM is 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) – Biases associated with these interactions, formatted as an iterable of 2-tuples, are not scaled.

  • ignore_offset (bool, default=False) – If True, the offset is not scaled.