Merge pull request #1127 from vladislav-horbatiuk/vgorbati-develop

Un-blacklisted and refactored converter_tdistributedstochasticneighborembedding_modular.py test.
shogun-toolbox · May 23, 2013 · bda8369 · bda8369
2 parents b1f383c + 6bb51d7
commit bda8369
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Showing 3 changed files with 8 additions and 3 deletions.
diff --git a/data b/data
diff --git a/.../undocumented/python_modular/converter_tdistributedstochasticneighborembedding_modular.py b/.../undocumented/python_modular/converter_tdistributedstochasticneighborembedding_modular.py
@@ -1,16 +1,22 @@
 #!/usr/bin/env python
 from tools.load import LoadMatrix
+from numpy import random
 
 lm=LoadMatrix()
 data = lm.load_numbers('../data/fm_train_real.dat')
 
 parameter_list = [[data]]
 
-def converter_tdistributedstochasticneighborembedding_modular(data):
+def converter_tdistributedstochasticneighborembedding_modular(data, seed=1):
 	try:
 		from shogun.Features import RealFeatures
 		from shogun.Converter import TDistributedStochasticNeighborEmbedding
+		from shogun.Mathematics import Math_init_random
 
+		# reproducible results
+		Math_init_random(seed)
+		random.seed(seed)	
+
 		features = RealFeatures(data)
 
 		converter = TDistributedStochasticNeighborEmbedding()

diff --git a/tests/integration/python_modular/generator.py b/tests/integration/python_modular/generator.py
@@ -9,7 +9,6 @@
 blacklist = ("__init__.py",
 		"classifier_libsvm_minimal_modular.py",
 		"classifier_multiclassocas_modular.py",
-		"converter_tdistributedstochasticneighborembedding_modular.py",
 		"modelselection_grid_search_kernel.py",
 		"serialization_string_kernels_modular.py",
 		"kernel_fisher_modular.py",