Average Error: 0.5 → 1.0
Time: 16.2s
Precision: 64
\[\log \left(1 + e^{x}\right) - x \cdot y\]
\[\left(\log \left(\sqrt{1 + e^{x}}\right) + \log \left(\sqrt{1 + e^{x}}\right)\right) - x \cdot y\]
\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 y
double f(double x, double y) {
        double r5134572 = 1.0;
        double r5134573 = x;
        double r5134574 = exp(r5134573);
        double r5134575 = r5134572 + r5134574;
        double r5134576 = log(r5134575);
        double r5134577 = y;
        double r5134578 = r5134573 * r5134577;
        double r5134579 = r5134576 - r5134578;
        return r5134579;
}

double f(double x, double y) {
        double r5134580 = 1.0;
        double r5134581 = x;
        double r5134582 = exp(r5134581);
        double r5134583 = r5134580 + r5134582;
        double r5134584 = sqrt(r5134583);
        double r5134585 = log(r5134584);
        double r5134586 = r5134585 + r5134585;
        double r5134587 = y;
        double r5134588 = r5134581 * r5134587;
        double r5134589 = r5134586 - r5134588;
        return r5134589;
}

Error

Bits error versus x

Bits error versus y

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Target

Original0.5
Target0.1
Herbie1.0
\[\begin{array}{l} \mathbf{if}\;x \le 0.0:\\ \;\;\;\;\log \left(1 + e^{x}\right) - x \cdot y\\ \mathbf{else}:\\ \;\;\;\;\log \left(1 + e^{-x}\right) - \left(-x\right) \cdot \left(1 - y\right)\\ \end{array}\]

Derivation

  1. Initial program 0.5

    \[\log \left(1 + e^{x}\right) - x \cdot y\]
  2. Using strategy rm
  3. Applied add-sqr-sqrt1.3

    \[\leadsto \log \color{blue}{\left(\sqrt{1 + e^{x}} \cdot \sqrt{1 + e^{x}}\right)} - x \cdot y\]
  4. Applied log-prod1.0

    \[\leadsto \color{blue}{\left(\log \left(\sqrt{1 + e^{x}}\right) + \log \left(\sqrt{1 + e^{x}}\right)\right)} - x \cdot y\]
  5. Final simplification1.0

    \[\leadsto \left(\log \left(\sqrt{1 + e^{x}}\right) + \log \left(\sqrt{1 + e^{x}}\right)\right) - x \cdot y\]

Reproduce

herbie shell --seed 2019192 +o rules:numerics
(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)))