\log \left(1 + e^{x}\right) - x \cdot y\left(\log \left(\sqrt{1 + e^{x}}\right) + \log \left(\sqrt{1 + e^{x}}\right)\right) - x \cdot ydouble f(double x, double y) {
double r1938914 = 1.0;
double r1938915 = x;
double r1938916 = exp(r1938915);
double r1938917 = r1938914 + r1938916;
double r1938918 = log(r1938917);
double r1938919 = y;
double r1938920 = r1938915 * r1938919;
double r1938921 = r1938918 - r1938920;
return r1938921;
}
double f(double x, double y) {
double r1938922 = 1.0;
double r1938923 = x;
double r1938924 = exp(r1938923);
double r1938925 = r1938922 + r1938924;
double r1938926 = sqrt(r1938925);
double r1938927 = log(r1938926);
double r1938928 = r1938927 + r1938927;
double r1938929 = y;
double r1938930 = r1938923 * r1938929;
double r1938931 = r1938928 - r1938930;
return r1938931;
}




Bits error versus x




Bits error versus y
Results
| Original | 0.4 |
|---|---|
| Target | 0.1 |
| Herbie | 1.0 |
Initial program 0.4
rmApplied add-sqr-sqrt1.3
Applied log-prod1.0
Final simplification1.0
herbie shell --seed 2019154
(FPCore (x y)
:name "Logistic regression 2"
:herbie-target
(if (<= x 0) (- (log (+ 1 (exp x))) (* x y)) (- (log (+ 1 (exp (- x)))) (* (- x) (- 1 y))))
(- (log (+ 1 (exp x))) (* x y)))