classification.jl

classification.jl

Unit for classification and related functions.

CategoryOutput
1. Probabilityfunctions taking probabilities as input or output

Probability

FunctionDescription
softmaxcompute softmax probabilities

Documentation:

softmax(χ::Vector{T}) where T<:Real

Given a real vector of $k$ non-negative scores $χ=c_1,...,c_k$, return the vector $π=p_1,...,p_k$ of their softmax probabilities, as per

$p_i=\frac{\textrm{e}^{c_i}}{\sum_{i=1}^{k}\textrm{e}^{c_i}}$.

Examples

χ=[1.0, 2.3, 0.4, 5.0]
π=softmax(χ)
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