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Function accuracy

examples/machine_learning/softmax_regression.cpp:20–26  ·  view source on GitHub ↗

Source from the content-addressed store, hash-verified

18using namespace af;
19
20float accuracy(const array &predicted, const array &target) {
21 array val, plabels, tlabels;
22 max(val, tlabels, target, 1);
23 max(val, plabels, predicted, 1);
24
25 return 100 * count<float>(plabels == tlabels) / tlabels.elements();
26}
27
28float abserr(const array &predicted, const array &target) {
29 return 100 * sum<float>(abs(predicted - target)) / predicted.elements();

Callers 1

logit_demoFunction · 0.70

Calls 2

maxFunction · 0.50
elementsMethod · 0.45

Tested by

no test coverage detected