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I have a dataset with one feature and y label all floating numbers and 99 rows in total X shape, yshape =(99).(99) 8x. Nave inplenented

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I have a dataset with one feature and y label all floating numbers and 99 rows in total X shape, yshape =(99).(99) 8x. Nave inplenented the rodial basis function and want it as my hemel. 1 def rbt(x,x), lanbda): return n p.exp (1 anbda np.power (np,abs((xx2)),2)) I want to use sbleammetrics painwise painuise, kernels on my data to compute the weight matrix. How do I do that? Please help with code. I don't know how to get the x and x2

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