scicloj.metamorph.ml.loss — org.scicloj/metamorph.ml test-0.0.0

Simple loss functions.

auc clj

(auc predictions labels)

Calculates area under the ROC curve. Uses AUC formula from R's 'mlr' package. (sum(r[i]) - n.pos * (n.pos + 1) / 2) / (n.pos * n.neg) See https://github.com/mlr-org/mlr/blob/main/R/measures.R

classification-accuracy clj

(classification-accuracy lhs rhs)

correct/total. Model output is a sequence of probability distributions. label-seq is a sequence of values. The answer is considered correct if the key highest probability in the model output entry matches that label.

classification-loss clj

(classification-loss lhs rhs)

1.0 - classification-accuracy.

mae clj

(mae predictions labels)

mean absolute error

mse clj

(mse predictions labels)

mean squared error

rmse clj

(rmse predictions labels)

root mean squared error