Import fixes for Py3

GPy/kern/_src/ODE_UY.py

@@ -1,11 +1,11 @@
 # Copyright (c) 2013, GPy authors (see AUTHORS.txt).
 # Licensed under the BSD 3-clause license (see LICENSE.txt)
 
-from kern import Kern
+from .kern import Kern
 from ...core.parameterization import Param
 from ...core.parameterization.transformations import Logexp
 import numpy as np
-from independent_outputs import index_to_slices
+from .independent_outputs import index_to_slices
 
 class ODE_UY(Kern):
     def __init__(self, input_dim, variance_U=3., variance_Y=1., lengthscale_U=1., lengthscale_Y=1., active_dims=None, name='ode_uy'):

GPy/kern/_src/ODE_UYC.py

@@ -1,11 +1,11 @@
 # Copyright (c) 2013, GPy authors (see AUTHORS.txt).
 # Licensed under the BSD 3-clause license (see LICENSE.txt)
 
-from kern import Kern
+from .kern import Kern
 from ...core.parameterization import Param
 from ...core.parameterization.transformations import Logexp
 import numpy as np
-from independent_outputs import index_to_slices
+from .independent_outputs import index_to_slices
 
 class ODE_UYC(Kern):
     def __init__(self, input_dim, variance_U=3., variance_Y=1., lengthscale_U=1., lengthscale_Y=1., ubias =1. ,active_dims=None, name='ode_uyc'):

GPy/kern/_src/ODE_st.py

@@ -1,10 +1,10 @@
 # Copyright (c) 2012, GPy authors (see AUTHORS.txt).
 # Licensed under the BSD 3-clause license (see LICENSE.txt)
-from kern import Kern
+from .kern import Kern
 from ...core.parameterization import Param
 from ...core.parameterization.transformations import Logexp
 import numpy as np
-from independent_outputs import index_to_slices
+from .independent_outputs import index_to_slices
 
 
 class ODE_st(Kern):

GPy/kern/_src/ODE_t.py

@@ -1,8 +1,8 @@
-from kern import Kern
+from .kern import Kern
 from ...core.parameterization import Param
 from ...core.parameterization.transformations import Logexp
 import numpy as np
-from independent_outputs import index_to_slices
+from .independent_outputs import index_to_slices
 
 
 class ODE_t(Kern):

GPy/kern/_src/add.py

@@ -4,7 +4,7 @@
 import numpy as np
 import itertools
 from ...util.caching import Cache_this
-from kern import CombinationKernel
+from .kern import CombinationKernel
 
 class Add(CombinationKernel):
     """
@@ -84,10 +84,10 @@ class Add(CombinationKernel):
         psi2 = reduce(np.add, (p.psi2(Z, variational_posterior) for p in self.parts))
         #return psi2
         # compute the "cross" terms
-        from static import White, Bias
+        from .static import White, Bias
-        from rbf import RBF
+        from .rbf import RBF
         #from rbf_inv import RBFInv
-        from linear import Linear
+        from .linear import Linear
         #ffrom fixed import Fixed
 
         for p1, p2 in itertools.combinations(self.parts, 2):
@@ -115,7 +115,7 @@ class Add(CombinationKernel):
         return psi2
 
     def update_gradients_expectations(self, dL_dpsi0, dL_dpsi1, dL_dpsi2, Z, variational_posterior):
-        from static import White, Bias
+        from .static import White, Bias
         for p1 in self.parts:
             #compute the effective dL_dpsi1. Extra terms appear becaue of the cross terms in psi2!
             eff_dL_dpsi1 = dL_dpsi1.copy()
@@ -131,7 +131,7 @@ class Add(CombinationKernel):
             p1.update_gradients_expectations(dL_dpsi0, eff_dL_dpsi1, dL_dpsi2, Z, variational_posterior)
 
     def gradients_Z_expectations(self, dL_psi0, dL_dpsi1, dL_dpsi2, Z, variational_posterior):
-        from static import White, Bias
+        from .static import White, Bias
         target = np.zeros(Z.shape)
         for p1 in self.parts:
             #compute the effective dL_dpsi1. extra terms appear becaue of the cross terms in psi2!
@@ -149,7 +149,7 @@ class Add(CombinationKernel):
         return target
 
     def gradients_qX_expectations(self, dL_dpsi0, dL_dpsi1, dL_dpsi2, Z, variational_posterior):
-        from static import White, Bias
+        from .static import White, Bias
         target_grads = [np.zeros(v.shape) for v in variational_posterior.parameters]
         for p1 in self.parameters:
             #compute the effective dL_dpsi1. extra terms appear becaue of the cross terms in psi2!

GPy/kern/_src/brownian.py

@@ -1,7 +1,7 @@
 # Copyright (c) 2012, GPy authors (see AUTHORS.txt).
 # Licensed under the BSD 3-clause license (see LICENSE.txt)
 
-from kern import Kern
+from .kern import Kern
 from ...core.parameterization import Param
 from ...core.parameterization.transformations import Logexp
 import numpy as np

GPy/kern/_src/coregionalize.py

@@ -1,7 +1,7 @@
 # Copyright (c) 2012, James Hensman and Ricardo Andrade
 # Licensed under the BSD 3-clause license (see LICENSE.txt)
 
-from kern import Kern
+from .kern import Kern
 import numpy as np
 from scipy import weave
 from ...core.parameterization import Param

GPy/kern/_src/eq_ode2.py

@@ -3,7 +3,7 @@
 
 import numpy as np
 from scipy.special import wofz
-from kern import Kern
+from .kern import Kern
 from ...core.parameterization import Param
 from ...core.parameterization.transformations import Logexp
 from ...util.caching import Cache_this

GPy/kern/_src/independent_outputs.py

@@ -2,7 +2,7 @@
 # Licensed under the BSD 3-clause license (see LICENSE.txt)
 
 
-from kern import Kern, CombinationKernel
+from .kern import Kern, CombinationKernel
 import numpy as np
 import itertools
 

GPy/kern/_src/kern.py

@@ -4,7 +4,7 @@
 import sys
 import numpy as np
 from ...core.parameterization.parameterized import Parameterized
-from kernel_slice_operations import KernCallsViaSlicerMeta
+from .kernel_slice_operations import KernCallsViaSlicerMeta
 from ...util.caching import Cache_this
 from GPy.core.parameterization.observable_array import ObsAr
 
@@ -178,7 +178,7 @@ class Kern(Parameterized):
 
         """
         assert isinstance(other, Kern), "only kernels can be added to kernels..."
-        from add import Add
+        from .add import Add
         return Add([self, other], name=name)
 
     def __mul__(self, other):
@@ -210,7 +210,7 @@ class Kern(Parameterized):
 
         """
         assert isinstance(other, Kern), "only kernels can be multiplied to kernels..."
-        from prod import Prod
+        from .prod import Prod
         #kernels = []
         #if isinstance(self, Prod): kernels.extend(self.parameters)
         #else: kernels.append(self)

GPy/kern/_src/linear.py

@@ -3,7 +3,7 @@
 
 
 import numpy as np
-from kern import Kern
+from .kern import Kern
 from ...util.linalg import tdot
 from ...core.parameterization import Param
 from ...core.parameterization.transformations import Logexp

GPy/kern/_src/mlp.py

@@ -1,7 +1,7 @@
 # Copyright (c) 2013, GPy authors (see AUTHORS.txt).
 # Licensed under the BSD 3-clause license (see LICENSE.txt)
 
-from kern import Kern
+from .kern import Kern
 from ...core.parameterization import Param
 from ...core.parameterization.transformations import Logexp
 import numpy as np

GPy/kern/_src/periodic.py

@@ -3,7 +3,7 @@
 
 
 import numpy as np
-from kern import Kern
+from .kern import Kern
 from ...util.linalg import mdot
 from ...util.decorators import silence_errors
 from ...core.parameterization.param import Param

GPy/kern/_src/poly.py

@@ -2,7 +2,7 @@
 # Licensed under the BSD 3-clause license (see LICENSE.txt)
 
 import numpy as np
-from kern import Kern
+from .kern import Kern
 from ...core.parameterization import Param
 from ...core.parameterization.transformations import Logexp
 class Poly(Kern):

GPy/kern/_src/prod.py

@@ -2,7 +2,7 @@
 # Licensed under the BSD 3-clause license (see LICENSE.txt)
 
 import numpy as np
-from kern import CombinationKernel
+from .kern import CombinationKernel
 from ...util.caching import Cache_this
 import itertools
 

GPy/kern/_src/rbf.py

@@ -3,9 +3,9 @@
 
 
 import numpy as np
-from stationary import Stationary
+from .stationary import Stationary
-from psi_comp import PSICOMP_RBF
+from .psi_comp import PSICOMP_RBF
-from psi_comp.rbf_psi_gpucomp import PSICOMP_RBF_GPU
+from .psi_comp.rbf_psi_gpucomp import PSICOMP_RBF_GPU
 from ...util.config import *
 
 class RBF(Stationary):

GPy/kern/_src/splitKern.py

@@ -3,7 +3,7 @@ A new kernel
 """
 
 import numpy as np
-from kern import Kern,CombinationKernel
+from .kern import Kern,CombinationKernel
 from .independent_outputs import index_to_slices
 import itertools
 

GPy/kern/_src/static.py

@@ -2,7 +2,7 @@
 # Licensed under the BSD 3-clause license (see LICENSE.txt)
 
 
-from kern import Kern
+from .kern import Kern
 import numpy as np
 from ...core.parameterization import Param
 from ...core.parameterization.transformations import Logexp

GPy/kern/_src/stationary.py

@@ -2,7 +2,7 @@
 # Licensed under the BSD 3-clause license (see LICENSE.txt)
 
 
-from kern import Kern
+from .kern import Kern
 from ...core.parameterization import Param
 from ...core.parameterization.transformations import Logexp
 from ...util.linalg import tdot

GPy/kern/_src/symbolic.py

@@ -1,7 +1,7 @@
 # Check Matthew Rocklin's blog post.
 import sympy as sym
 import numpy as np
-from kern import Kern
+from .kern import Kern
 from ...core.symbolic import Symbolic_core
 
 

GPy/kern/_src/trunclinear.py

@@ -3,7 +3,7 @@
 
 
 import numpy as np
-from kern import Kern
+from .kern import Kern
 from ...core.parameterization import Param
 from ...core.parameterization.transformations import Logexp
 from ...util.caching import Cache_this