\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 r5613493 = 1.0;
double r5613494 = x;
double r5613495 = exp(r5613494);
double r5613496 = r5613493 + r5613495;
double r5613497 = log(r5613496);
double r5613498 = y;
double r5613499 = r5613494 * r5613498;
double r5613500 = r5613497 - r5613499;
return r5613500;
}
double f(double x, double y) {
double r5613501 = 1.0;
double r5613502 = x;
double r5613503 = exp(r5613502);
double r5613504 = r5613501 + r5613503;
double r5613505 = sqrt(r5613504);
double r5613506 = log(r5613505);
double r5613507 = r5613506 + r5613506;
double r5613508 = y;
double r5613509 = r5613502 * r5613508;
double r5613510 = r5613507 - r5613509;
return r5613510;
}




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 2019139
(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)))