Merge pull request #318 from SheffieldML/gpy_one_fixes

Gpy one fixes

GPy/core/gp.py

@@ -395,9 +395,9 @@ class GP(Model):
             var_jac = compute_cov_inner(self.posterior.woodbury_inv)
         return mean_jac, var_jac
 
-    def predict_wishard_embedding(self, Xnew, kern=None, mean=True, covariance=True):
+    def predict_wishart_embedding(self, Xnew, kern=None, mean=True, covariance=True):
         """
-        Predict the wishard embedding G of the GP. This is the density of the
+        Predict the wishart embedding G of the GP. This is the density of the
         input of the GP defined by the probabilistic function mapping f.
         G = J_mean.T*J_mean + output_dim*J_cov.
 
@@ -425,6 +425,10 @@ class GP(Model):
             G += Sigma
         return G
 
+    def predict_wishard_embedding(self, Xnew, kern=None, mean=True, covariance=True):
+        warnings.warn("Wrong naming, use predict_wishart_embedding instead. Will be removed in future versions!", DeprecationWarning)
+        return self.predict_wishart_embedding(Xnew, kern, mean, covariance)
+
     def predict_magnification(self, Xnew, kern=None, mean=True, covariance=True):
         """
         Predict the magnification factor as

GPy/kern/src/kern.py

@@ -70,7 +70,10 @@ class Kern(Parameterized):
 
     @Cache_this(limit=20)
     def _slice_X(self, X):
-        return X[:, self._all_dims_active]
+        try:
+            return X[:, self._all_dims_active].astype('float')
+        except:
+            return X[:, self._all_dims_active]
 
     def K(self, X, X2):
         """

GPy/plotting/plotly_dep/plot_definitions.py

@@ -254,7 +254,7 @@ class PlotlyPlots(AbstractPlottingLibrary):
                         font=dict(color='white' if np.abs(var) > 0.8 else 'black', size=10),
                         opacity=.5,
                         showarrow=False,
-                        hoverinfo='x'))
+                        ))
         return imshow, annotations
 
     def annotation_heatmap_interact(self, ax, plot_function, extent, label=None, resolution=15, imshow_kwargs=None, **annotation_kwargs):