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Laplacian kernel class.
model_remediation.min_diff.losses.LaplacianKernel( kernel_length: complex = 0.1, **kwargs )
Length (sometimes also called 'width') of the kernel.
The choice for kernel length should be influenced by the average distance of inputs. The smaller the distance, the smaller the kernel length likely needs to be for best performance. In general, a good first guess is the standard deviation of your predictions.
Named parameters that will be passed directly to the base
See paper for reference on how it can be used in MinDiff.