simpeg.regularization.WeightedLeastSquares.set_weights

WeightedLeastSquares.set_weights(**weights)

Adds (or updates) the specified weights for all child regularization objects.

Parameters:

**weightskey, numpy.ndarray

Each keyword argument is added to the weights used by all child regularization objects. They can be accessed with their keyword argument.

Examples

>>> import discretize
>>> from simpeg.regularization import WeightedLeastSquares
>>> mesh = discretize.TensorMesh([2, 3, 2])
>>> reg = WeightedLeastSquares(mesh)
>>> reg.set_weights(my_weight=np.ones(mesh.n_cells))
>>> reg.get_weights('my_weight')
array([1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.])