dimod.AdjMapBQM.from_numpy_matrix¶
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classmethod
AdjMapBQM.from_numpy_matrix(mat, variable_order=None, offset=0.0, interactions=None)¶ Create a binary quadratic model from a NumPy array.
Parameters: - mat (
numpy.ndarray) – Coefficients of a quadratic unconstrained binary optimization (QUBO) model formatted as a square NumPy 2D array. - variable_order (list, optional) – If provided, labels the QUBO variables; otherwise, row/column indices are used. If variable_order is longer than the array, extra values are ignored.
- offset (optional, default=0.0) – Constant offset for the binary quadratic model.
- interactions (iterable, optional, default=[]) – Any additional 0.0-bias interactions to be added to the binary quadratic model. Only works for shapeable binary quadratic models.
Returns: Binary quadratic model with vartype set to
Vartype.BINARY.Note
This method will be deprecated in the future. The preferred pattern is to use the constructor directly.
- mat (