Trying to use your package on some gene expression data. When I try to run your example notebook for MOHGP, I get an error at m.optimize():
NameError: global name 'N1' is not defined
Indeed looking at the code in np_utilities.py it does look like N1 is not defined, but I assume this should be working. Any ideas? Full error trace below:
---------------------------------------------------------------------------
NameError Traceback (most recent call last)
<ipython-input-22-8066ee77b06f> in <module>()
3
4 m = GPclust.MOHGP(X, k_underlying, k_corruption, Y, K=10, prior_Z='DP', alpha=1.0)
----> 5 m.optimize()
6 m.systematic_splits(verbose=False)
/usr/local/lib/python2.7/dist-packages/GPclust-0.1.0-py2.7.egg/GPclust/collapsed_vb.pyc in optimize(self, method, maxiter, ftol, gtol, step_length, callback, verbose)
90 callback()
91
---> 92 grad,natgrad = self.vb_grad_natgrad()
93 grad,natgrad = -grad,-natgrad
94 squareNorm = np.dot(natgrad,grad) # used to monitor convergence
/usr/local/lib/python2.7/dist-packages/GPclust-0.1.0-py2.7.egg/GPclust/MOHGP.pyc in vb_grad_natgrad(self)
142 #yn_mk = self.Y[:,:,None] - self.muk[None,:,:]
143 #ynmk2 = np.sum(np.dot(self.Sy_inv, yn_mk) * np.rollaxis(yn_mk,0,2),0)
--> 144 ynmk2 = multiple_mahalanobis(self.Y, self.muk.T, self.Sy_chol)
145
146 grad_phi = (self.mixing_prop_bound_grad() -
/usr/local/lib/python2.7/dist-packages/GPclust-0.1.0-py2.7.egg/GPclust/np_utilities.pyc in multiple_mahalanobis_numpy_loops(X1, X2, L)
43 def multiple_mahalanobis_numpy_loops(X1, X2, L):
44 LLT = L.dot(L.T)
---> 45 result = np.zeros(shape=(N1, N2), dtype=np.float64)
46 n = 0
47 while n < N1:
NameError: global name 'N1' is not defined
Hi James,
Trying to use your package on some gene expression data. When I try to run your example notebook for MOHGP, I get an error at
m.optimize()
:Indeed looking at the code in np_utilities.py it does look like
N1
is not defined, but I assume this should be working. Any ideas? Full error trace below: