afdee1c/symbolic-regression
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Silviu Marian Udrescu 2020-06-27 19:10:29 -04:00 • committed by GitHub
parent 84aa8e27fa
commit e53ec2e80e
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1 changed files with 29 additions and 27 deletions
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Code/S_get_symbolic_expr_error.py
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@ -9,6 +9,7 @@ from os import path
from sympy import Symbol, lambdify, N from sympy import Symbol, lambdify, N
def get_symbolic_expr_error(data,expr): def get_symbolic_expr_error(data,expr):
try:
N_vars = len(data[0])-1 N_vars = len(data[0])-1
possible_vars = ["x%s" %i for i in np.arange(0,30,1)] possible_vars = ["x%s" %i for i in np.arange(0,30,1)]
variables = [] variables = []
@ -37,4 +38,5 @@ def get_symbolic_expr_error(data,expr):
# use this for the case in which the expression is just one number (i.e. not array) # use this for the case in which the expression is just one number (i.e. not array)
#return np.sqrt(np.mean((f(*real_variables)-data[:,-1])**2))/np.sqrt(np.mean(data[:,-1]**2)) #return np.sqrt(np.mean((f(*real_variables)-data[:,-1])**2))/np.sqrt(np.mean(data[:,-1]**2))
return np.mean(np.log2(1+abs(f(*real_variables)-data[:,-1])*2**30)) return np.mean(np.log2(1+abs(f(*real_variables)-data[:,-1])*2**30))
except:
return 1000000