norm.softmax: Softmax normalisation
In som.nn: Topological k-NN Classifier Based on Self-Organising Maps

Calculates a softmax-like normalisation for the class frequencies.

1	norm.softmax(x, t = 0.2)

`x`	vector of votes for classes
`t`	temperature parameter.

Softmax function is applied to a vector to squeeze the values in a way that they sum up to 1.0:

som.nn.softmax(x) = exp(x/T) / sum(exp(x/T))

Low values for T result in a strong separation of output values. High values for T make output values more equal.

Vector of softmax normalised values.

som.nn documentation built on May 2, 2019, 8:26 a.m.

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