tversky_loss
function
defined in module
Flux.Losses
tversky_loss(ŷ, y; beta = 0.7)
Return the
Tversky loss
. Used with imbalanced data to give more weight to false negatives. Larger
β == beta
weigh recall more than precision (by placing more emphasis on false negatives). Calculated as:
1 - sum(|y .* ŷ| + 1) / (sum(y .* ŷ + (1 - β)*(1 .- y) .* ŷ + β*y .* (1 .- ŷ)) + 1)
There is
1
method for Flux.Losses.tversky_loss
:
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