\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 r6590908 = 1.0;
double r6590909 = x;
double r6590910 = exp(r6590909);
double r6590911 = r6590908 + r6590910;
double r6590912 = log(r6590911);
double r6590913 = y;
double r6590914 = r6590909 * r6590913;
double r6590915 = r6590912 - r6590914;
return r6590915;
}
double f(double x, double y) {
double r6590916 = 1.0;
double r6590917 = x;
double r6590918 = exp(r6590917);
double r6590919 = r6590916 + r6590918;
double r6590920 = sqrt(r6590919);
double r6590921 = log(r6590920);
double r6590922 = r6590921 + r6590921;
double r6590923 = y;
double r6590924 = r6590917 * r6590923;
double r6590925 = r6590922 - r6590924;
return r6590925;
}




Bits error versus x




Bits error versus y
Results
| Original | 0.5 |
|---|---|
| Target | 0.0 |
| Herbie | 1.0 |
Initial program 0.5
rmApplied add-sqr-sqrt1.3
Applied log-prod1.0
Final simplification1.0
herbie shell --seed 2019164
(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)))