How to find Euclidean Distance in shogun

In this recipe, we shall understand the steps to find Euclidean Distance in shogun with the help of a simple example.

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Recipe Objective: How to find Euclidean Distance in shogun?

This recipe explains how to find Euclidean Distance in shogun
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Euclidean Distance

For real values, Euclidean distance is equal to the square root of the sum of squared disparity between the corresponding feature dimensions of two data points.

a = RealFeatures(feats_a)
b = RealFeatures(feats_b)
d = EuclideanDistance(a, a)
aa = d.get_distance_matrix()
d.init(a, b)
d.set_disable_sqrt(True)
ab = distance.get_distance_matrix()

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