tech.ml.loss — techascent/tech.ml-base 3.7

classification-accuracy clj

(classification-accuracy model-output label-seq)

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 model-output label-seq)

1.0 - classification-accuracy.

mse clj

(mse predictions labels)

mean squared error

rmse clj

(rmse predictions labels)

root mean squared error