# cupyx.scipy.spatial.distance.jensenshannon#

cupyx.scipy.spatial.distance.jensenshannon(u, v)[source]#

Compute the Jensen-Shannon distance between two 1-D arrays.

The Jensen-Shannon distance is defined as

$d(u, v) = \sqrt{\frac{KL(u \| m) + KL(v \| m)}{2}}$

where $$KL$$ is the Kullback-Leibler divergence and $$m$$ is the pointwise mean of u and v.

Parameters
• u (array_like) – Input array of size (N,)

• v (array_like) – Input array of size (N,)

Returns

The Jensen-Shannon distance between vectors u and v.

Return type

jensenshannon (double)