Minor changes in import statements.

example.py

@@ -6,8 +6,8 @@
 import numpy as np
 from matplotlib import pyplot as plt
 
-from vkoga_pde.kernels_PDE import Gaussian_laplace
-from vkoga_pde.vkoga_PDE import VKOGA_PDE
+from kernels_PDE import Gaussian_laplace
+from vkoga_PDE import VKOGA_PDE
 
 np.random.seed(1)
 

vkoga_PDE.py

 # First approach to develope code for greedy PDE.
 # ToDo: Not sure whether vector valued output makes sense, but let's try to implement it ..
 
-from vkoga_pde.kernels_PDE import wendland32_laplace
+from kernels_PDE import wendland32_laplace
 import numpy as np
 from sklearn.base import BaseEstimator
 from sklearn.utils.validation import check_X_y, check_array