small diffs

[kruus]

I saw you fixed the from test_util (change to svae.util), but somehow it reverted on trunk? perhaps flesh out the setup.py a bit. Here is what I did (version requirements are just whatever I had available on my Ubuntu 16.04 box). I did not see the other experiments/ that wuaalb was mentioning. Perhaps they are on a branch?

diff --git a/setup.py b/setup.py
index c841313..01b893c 100644
--- a/setup.py
+++ b/setup.py
@@ -3,6 +3,16 @@ import numpy as np
from Cython.Build import cythonize

 setup(
+    name='svae',
+    version='0.0.0',
+    description='structure variational auto-encoder',
+    install_requires=['autograd>=1.1.7', 'numpy>=1.11.0', 'scipy>=0.17.0', 'Cython>=0.25.1'
+                      , 'pyhsmm>=0.1.6', 'toolz>=0.8.1'],
+    keywords=['autoencoder', 'machine learning', 'optimization'
+              , 'neural networks', 'Python', 'Numpy', 'Scipy'],
+    url='https://github.com/mattjj/svae',
+    packages=['svae', 'svae.distributions', 'svae.hmm', 'svae.lds', 'svae.models'],
+
     ext_modules=cythonize('**/*.pyx'),
     include_dirs=[np.get_include(),],
 )
diff --git a/tests/test_gaussian.py b/tests/test_gaussian.py
index 7b7e560..2fa0daa 100644
--- a/tests/test_gaussian.py
+++ b/tests/test_gaussian.py
@@ -5,8 +5,7 @@ from autograd import grad
 
 from svae.distributions.gaussian import logZ, expectedstats, \
     pack_dense, unpack_dense
-from test_util import rand_psd
-
+from svae.util import rand_psd
 
 def rand_gaussian(n):
     J = rand_psd(n) + n * np.eye(n)