\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 r2421158 = 1.0;
double r2421159 = x;
double r2421160 = exp(r2421159);
double r2421161 = r2421158 + r2421160;
double r2421162 = log(r2421161);
double r2421163 = y;
double r2421164 = r2421159 * r2421163;
double r2421165 = r2421162 - r2421164;
return r2421165;
}
double f(double x, double y) {
double r2421166 = 1.0;
double r2421167 = x;
double r2421168 = exp(r2421167);
double r2421169 = r2421166 + r2421168;
double r2421170 = sqrt(r2421169);
double r2421171 = log(r2421170);
double r2421172 = r2421171 + r2421171;
double r2421173 = y;
double r2421174 = r2421167 * r2421173;
double r2421175 = r2421172 - r2421174;
return r2421175;
}




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 2019128
(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)))