afdee1c/symbolic-regression
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Silviu Marian Udrescu 2020-06-28 14:27:12 -04:00 • committed by GitHub
parent 64b80ad64e
commit 1675deb3d2
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1 changed files with 9 additions and 2 deletions
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Code/S_snap.py
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@ -1,6 +1,7 @@
# The following are snap functions for finding a best approximated integer or rational number for a real number: # The following are snap functions for finding a best approximated integer or rational number for a real number:
import numpy as np import numpy as np
from sympy import Rational
def bestApproximation(x,imax): def bestApproximation(x,imax):
# The input is a numpy parameter vector p. # The input is a numpy parameter vector p.
@ -75,4 +76,10 @@ def rationalSnap(p, top=1):
p = np.array(p) p = np.array(p)
snaps = np.array(list(bestApproximation(x,100) for x in p)) snaps = np.array(list(bestApproximation(x,100) for x in p))
chosen = np.argsort(snaps[:, 3])[:top] chosen = np.argsort(snaps[:, 3])[:top]
return dict(list(zip(chosen, snaps[chosen, 0:3]))) d = dict(list(zip(chosen, snaps[chosen, 1:3])))
d = {k: f"{val[0]}/{val[1]}" for k,val in d.items()}
return d