makeInvertible -> make_invertible

demos/bernoulli_demo.py

@@ -64,7 +64,7 @@ if __name__ == '__main__':
 
     # Minimize the Hamiltonian
     H = ift.Hamiltonian(likelihood, ic_sampling)
-    H = H.makeInvertible(ic_cg)
+    H = H.make_invertible(ic_cg)
     # minimizer = ift.SteepestDescent(ic_newton)
     H, convergence = minimizer(H)
 

demos/getting_started_2.py

@@ -80,7 +80,7 @@ if __name__ == '__main__':
 
     # Minimize the Hamiltonian
     H = ift.Hamiltonian(likelihood)
-    H = H.makeInvertible(ic_cg)
+    H = H.make_invertible(ic_cg)
     H, convergence = minimizer(H)
 
     # Plot results

demos/getting_started_3.py

@@ -77,7 +77,7 @@ if __name__ == '__main__':
                    for _ in range(N_samples)]
 
         KL = ift.SampledKullbachLeiblerDivergence(H, samples)
-        KL = KL.makeInvertible(ic_cg)
+        KL = KL.make_invertible(ic_cg)
         KL, convergence = minimizer(KL)
         position = KL.position
 

nifty5/minimization/energy.py

@@ -130,7 +130,7 @@ class Energy(NiftyMetaBase()):
         """
         return None
 
-    def makeInvertible(self, controller, preconditioner=None):
+    def make_invertible(self, controller, preconditioner=None):
         from .iteration_controller import IterationController
         if not isinstance(controller, IterationController):
             raise TypeError