GraphLIME
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Kernel computation - standard deviation
Hello, thank you for sharing this! I was wondering, however, what was the reasoning behind multiplying with 0.1 the denominator of the kernel equation? Did that lead to more stable results empirically or is there a solid justification for that? Thank you!