checkgrad (╯°□°）╯︵ ┻━┻

GPy/core/parameterization/param.py

@@ -43,6 +43,7 @@ class Param(ObservableArray, Constrainable, Gradcheckable, Indexable, Parameteri
     _parameters_ = []
     def __new__(cls, name, input_array, default_constraint=None):
         obj = numpy.atleast_1d(super(Param, cls).__new__(cls, input_array=input_array))
+        cls.__name__ = "Param"
         obj._current_slice_ = (slice(obj.shape[0]),)
         obj._realshape_ = obj.shape
         obj._realsize_ = obj.size
@@ -57,7 +58,7 @@ class Param(ObservableArray, Constrainable, Gradcheckable, Indexable, Parameteri
 
     def __init__(self, name, input_array, default_constraint=None):
         super(Param, self).__init__(name=name, default_constraint=default_constraint)
-
+    
     def __array_finalize__(self, obj):
         # see InfoArray.__array_finalize__ for comments
         if obj is None: return
@@ -75,6 +76,7 @@ class Param(ObservableArray, Constrainable, Gradcheckable, Indexable, Parameteri
         self._original_ = getattr(obj, '_original_', None)
         self._name = getattr(obj, 'name', None)
         self.gradient = getattr(obj, 'gradient', None)
+        self.constraints = getattr(obj, 'constraints', None)
 
     def __array_wrap__(self, out_arr, context=None):
         return out_arr.view(numpy.ndarray)
@@ -391,6 +393,9 @@ class Param(ObservableArray, Constrainable, Gradcheckable, Indexable, Parameteri
             slice_index = self._current_slice_
         if isinstance(slice_index, (tuple, list)):
             clean_curr_slice = [s for s in slice_index if numpy.any(s != Ellipsis)]
+            for i in range(self._realndim_-len(clean_curr_slice)):
+                i+=len(clean_curr_slice)
+                clean_curr_slice += range(self._realshape_[i]) 
             if (all(isinstance(n, (numpy.ndarray, list, tuple)) for n in clean_curr_slice)
                 and len(set(map(len, clean_curr_slice))) <= 1):
                 return numpy.fromiter(itertools.izip(*clean_curr_slice),