kernel
fun kernelShapVector(background: Array<DoubleArray>, numSamples: Int = 0, ridge: Double = 1.0E-8, predictor: Function<DoubleArray, DoubleArray>): KernelSHAP<DoubleArray>(source)
Creates a KernelSHAP explainer for a vector-valued function on DoubleArray.
Return
the KernelSHAP explainer.
Parameters
background
the background reference dataset.
num
maximum number of coalitions to evaluate per instance (0 = auto).
ridge
L2 regularization parameter for numerical stability.
predictor
the vector prediction function.