Fixed naming to standardized PEP8

GPy/models/__init__.py

@@ -2,6 +2,7 @@
 # Licensed under the BSD 3-clause license (see LICENSE.txt)
 
 from gp_regression import GPRegression
+from gp_classification import GPClassification
 from sparse_gp_regression import SparseGPRegression
 from sparse_gp_classification import SparseGPClassification
 from fitc_classification import FITCClassification

GPy/models/gp_classification.py

@@ -7,11 +7,11 @@ from ..core import GP
 from .. import likelihoods
 from .. import kern
 
-class GP_classification(GP):
+class GPClassification(GP):
     """
     Gaussian Process classification
 
-    This is a thin wrapper around the models.GP class, with a set of sensible defalts
+    This is a thin wrapper around the models.GP class, with a set of sensible defaults
 
     :param X: input observations
     :param Y: observed values

GPy/models/sparse_gp_classification.py

@@ -3,12 +3,12 @@
 
 
 import numpy as np
-from ..core import sparse_GP
+from ..core import SparseGP
 from .. import likelihoods
 from .. import kern
 from ..likelihoods import likelihood
 
-class sparse_GP_classification(sparse_GP):
+class SparseGPClassification(SparseGP):
     """
     sparse Gaussian Process model for classification
 
@@ -43,5 +43,5 @@ class sparse_GP_classification(sparse_GP):
         else:
             assert Z.shape[1]==X.shape[1]
 
-        sparse_GP.__init__(self, X, likelihood, kernel, Z=Z, normalize_X=normalize_X)
+        SparseGP.__init__(self, X, likelihood, kernel, Z=Z, normalize_X=normalize_X)
         self._set_params(self._get_params())