\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 r10365235 = 1.0;
double r10365236 = x;
double r10365237 = exp(r10365236);
double r10365238 = r10365235 + r10365237;
double r10365239 = log(r10365238);
double r10365240 = y;
double r10365241 = r10365236 * r10365240;
double r10365242 = r10365239 - r10365241;
return r10365242;
}
double f(double x, double y) {
double r10365243 = 1.0;
double r10365244 = x;
double r10365245 = exp(r10365244);
double r10365246 = r10365243 + r10365245;
double r10365247 = sqrt(r10365246);
double r10365248 = log(r10365247);
double r10365249 = r10365248 + r10365248;
double r10365250 = y;
double r10365251 = r10365244 * r10365250;
double r10365252 = r10365249 - r10365251;
return r10365252;
}




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 2019174
(FPCore (x y)
:name "Logistic regression 2"
:herbie-target
(if (<= x 0.0) (- (log (+ 1.0 (exp x))) (* x y)) (- (log (+ 1.0 (exp (- x)))) (* (- x) (- 1.0 y))))
(- (log (+ 1.0 (exp x))) (* x y)))