Average Error: 0.5 → 1.0
Time: 2.8s
Precision: binary64
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\[\]
double code(double x, double y) {
	return ((double) (((double) log(((double) (1.0 + ((double) exp(x)))))) - ((double) (x * y))));
}
double code(double x, double y) {
	return ((double) (((double) (((double) sqrt(((double) log(((double) (1.0 + ((double) exp(x)))))))) * ((double) sqrt(((double) log(((double) (1.0 + ((double) exp(x)))))))))) - ((double) (x * y))));
}

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
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Derivation

  1. Initial program 0.5

    \[\]
  2. Using strategy rm
  3. Applied add-sqr-sqrt1.0

    \[\leadsto \]
  4. Final simplification1.0

    \[\leadsto \]

Reproduce

herbie shell --seed 2020192 
(FPCore (x y)
  :name "Logistic regression 2"
  :precision binary64

  :herbie-target
  (if (<= x 0.0) (- (log (+ 1.0 (exp x))) (* x y)) (- (log (+ 1.0 (exp (neg x)))) (* (neg x) (- 1.0 y))))

  (- (log (+ 1.0 (exp x))) (* x y)))