gistfile1.txt

---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-4-3272cd51cdba> in <module>()
     29 #GPy.core.SparseGP?
     30 #m=GPy.core.SparseGP(X, Y, Z, k, likelihood, inference_method=VarDTCMissingData(inan=inan))
---> 31 m=GPy.core.GP(X, Y, k, likelihood, inference_method=VarDTCMissingData(inan=inan))
     32 
     33 

/is/ei/jmcmurr/.local/lib/python2.7/site-packages/GPy-0.4.6-py2.7.egg/GPy/core/parameterization/parameterized.pyc in __call__(self, *args, **kw)
     12     def __call__(self, *args, **kw):
     13         instance = super(ParametersChangedMeta, self).__call__(*args, **kw)
---> 14         instance.parameters_changed()
     15         return instance
     16 

/is/ei/jmcmurr/.local/lib/python2.7/site-packages/GPy-0.4.6-py2.7.egg/GPy/core/gp.pyc in parameters_changed(self)
     75 
     76     def parameters_changed(self):
---> 77         self.posterior, self._log_marginal_likelihood, self.grad_dict = self.inference_method.inference(self.kern, self.X, self.likelihood, self.Y, self.Y_metadata)
     78         self.likelihood.update_gradients(self.grad_dict['dL_dthetaL'])
     79         self.kern.update_gradients_full(self.grad_dict['dL_dK'], self.X)

/is/ei/jmcmurr/.local/lib/python2.7/site-packages/GPy-0.4.6-py2.7.egg/GPy/inference/latent_function_inference/var_dtc.pyc in inference(self, kern, X, Z, likelihood, Y, Y_metadata)
    255             uncertain_inputs = False
    256             psi0_all = kern.Kdiag(X)
--> 257             psi1_all = kern.K(X, Z)
    258             psi2_all = None
    259 

/is/ei/jmcmurr/.local/lib/python2.7/site-packages/GPy-0.4.6-py2.7.egg/GPy/kern/_src/kernel_slice_operations.pyc in wrap(self, X, X2, *a, **kw)
     62     @wraps(f)
     63     def wrap(self, X, X2 = None, *a, **kw):
---> 64         with _Slice_wrap(self, X, X2) as s:
     65             ret = f(self, s.X, s.X2, *a, **kw)
     66         return ret

/is/ei/jmcmurr/.local/lib/python2.7/site-packages/GPy-0.4.6-py2.7.egg/GPy/kern/_src/kernel_slice_operations.pyc in __init__(self, k, X, X2)
     36         assert X.ndim == 2, "only matrices are allowed as inputs to kernels for now, given X.shape={!s}".format(X.shape)
     37         if X2 is not None:
---> 38             assert X2.ndim == 2, "only matrices are allowed as inputs to kernels for now, given X2.shape={!s}".format(X2.shape)
     39         if (self.k.active_dims is not None) and (self.k._sliced_X == 0):
     40             self.k._check_active_dims(X)

AttributeError: 'Gaussian' object has no attribute 'ndim'