[Scipy-svn] r3095 - trunk/Lib/sandbox/pyem/tests
scipy-svn@scip...
scipy-svn@scip...
Mon Jun 11 04:32:23 CDT 2007
Author: cdavid
Date: 2007-06-11 04:32:17 -0500 (Mon, 11 Jun 2007)
New Revision: 3095
Modified:
trunk/Lib/sandbox/pyem/tests/test_gmm_em.py
Log:
Reenable tests I forgot to uncomment in gmm_em tests
Modified: trunk/Lib/sandbox/pyem/tests/test_gmm_em.py
===================================================================
--- trunk/Lib/sandbox/pyem/tests/test_gmm_em.py 2007-06-11 09:18:57 UTC (rev 3094)
+++ trunk/Lib/sandbox/pyem/tests/test_gmm_em.py 2007-06-11 09:32:17 UTC (rev 3095)
@@ -40,66 +40,66 @@
em = EM()
lk = em.train(data, gmm)
-#class test_full_run(EmTest):
-# """This class only tests whether the algorithms runs. Do not check the
-# results."""
-# def check_1d(self, level = 1):
-# d = 1
-# k = 2
-# mode = 'full'
-# nframes = int(1e2)
-#
-# #seed(1)
-# self._create_model_and_run_em(d, k, mode, nframes)
-#
-# def check_2d(self, level = 1):
-# d = 2
-# k = 2
-# mode = 'full'
-# nframes = int(1e2)
-#
-# #seed(1)
-# self._create_model_and_run_em(d, k, mode, nframes)
-#
-# def check_5d(self, level = 1):
-# d = 5
-# k = 3
-# mode = 'full'
-# nframes = int(1e2)
-#
-# #seed(1)
-# self._create_model_and_run_em(d, k, mode, nframes)
-#
-#class test_diag_run(EmTest):
-# """This class only tests whether the algorithms runs. Do not check the
-# results."""
-# def check_1d(self, level = 1):
-# d = 1
-# k = 2
-# mode = 'diag'
-# nframes = int(1e2)
-#
-# #seed(1)
-# self._create_model_and_run_em(d, k, mode, nframes)
-#
-# def check_2d(self, level = 1):
-# d = 2
-# k = 2
-# mode = 'diag'
-# nframes = int(1e2)
-#
-# #seed(1)
-# self._create_model_and_run_em(d, k, mode, nframes)
-#
-# def check_5d(self, level = 1):
-# d = 5
-# k = 3
-# mode = 'diag'
-# nframes = int(1e2)
-#
-# #seed(1)
-# self._create_model_and_run_em(d, k, mode, nframes)
+class test_full_run(EmTest):
+ """This class only tests whether the algorithms runs. Do not check the
+ results."""
+ def check_1d(self, level = 1):
+ d = 1
+ k = 2
+ mode = 'full'
+ nframes = int(1e2)
+ #seed(1)
+ self._create_model_and_run_em(d, k, mode, nframes)
+
+ def check_2d(self, level = 1):
+ d = 2
+ k = 2
+ mode = 'full'
+ nframes = int(1e2)
+
+ #seed(1)
+ self._create_model_and_run_em(d, k, mode, nframes)
+
+ def check_5d(self, level = 1):
+ d = 5
+ k = 3
+ mode = 'full'
+ nframes = int(1e2)
+
+ #seed(1)
+ self._create_model_and_run_em(d, k, mode, nframes)
+
+class test_diag_run(EmTest):
+ """This class only tests whether the algorithms runs. Do not check the
+ results."""
+ def check_1d(self, level = 1):
+ d = 1
+ k = 2
+ mode = 'diag'
+ nframes = int(1e2)
+
+ #seed(1)
+ self._create_model_and_run_em(d, k, mode, nframes)
+
+ def check_2d(self, level = 1):
+ d = 2
+ k = 2
+ mode = 'diag'
+ nframes = int(1e2)
+
+ #seed(1)
+ self._create_model_and_run_em(d, k, mode, nframes)
+
+ def check_5d(self, level = 1):
+ d = 5
+ k = 3
+ mode = 'diag'
+ nframes = int(1e2)
+
+ #seed(1)
+ self._create_model_and_run_em(d, k, mode, nframes)
+
class test_datasets(EmTest):
"""This class tests whether the EM algorithms works using pre-computed
datasets."""
More information about the Scipy-svn
mailing list