\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 r21865599 = 1.0;
double r21865600 = x;
double r21865601 = exp(r21865600);
double r21865602 = r21865599 + r21865601;
double r21865603 = log(r21865602);
double r21865604 = y;
double r21865605 = r21865600 * r21865604;
double r21865606 = r21865603 - r21865605;
return r21865606;
}
double f(double x, double y) {
double r21865607 = 1.0;
double r21865608 = x;
double r21865609 = exp(r21865608);
double r21865610 = r21865607 + r21865609;
double r21865611 = sqrt(r21865610);
double r21865612 = log(r21865611);
double r21865613 = r21865612 + r21865612;
double r21865614 = y;
double r21865615 = r21865608 * r21865614;
double r21865616 = r21865613 - r21865615;
return r21865616;
}




Bits error versus x




Bits error versus y
Results
| Original | 0.5 |
|---|---|
| Target | 0.1 |
| Herbie | 1.0 |
Initial program 0.5
rmApplied add-sqr-sqrt1.3
Applied log-prod1.0
Final simplification1.0
herbie shell --seed 2019121
(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)))