clean

surrogate/gpr.py

 import numpy as np
 from scipy.linalg import cholesky, cho_solve, solve_triangular
-from scipy.optimize import minimize
 from scipy.optimize import fmin_l_bfgs_b
 
 from surrogate.kernel import gauss_kernel, double_gauss_kernel
@@ -8,8 +7,6 @@ from surrogate.descriptor.fingerprint import Fingerprint
 from surrogate.prior.prior import repulsive_prior
 from surrogate.gpr_calculator import gpr_calculator
 
-import warnings
-
 class gpr_memory():
     """ Class for saving "expensive to calculate" data for
     the Gaussian Process Regression model.