diff --git a/data b/data
index afe8adad2b7..4fdad64be26 160000
--- a/data
+++ b/data
@@ -1 +1 @@
-Subproject commit afe8adad2b7dd633f94e2e20a9b0269db03aa16c
+Subproject commit 4fdad64be26e4bde9121cb4c2b7c4f69a889d391
diff --git a/examples/undocumented/python_modular/converter_tdistributedstochasticneighborembedding_modular.py b/examples/undocumented/python_modular/converter_tdistributedstochasticneighborembedding_modular.py
index 328a062f4da..3efce2809da 100644
--- a/examples/undocumented/python_modular/converter_tdistributedstochasticneighborembedding_modular.py
+++ b/examples/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
index 088eb5bf74a..f8b74f28e3f 100755
--- 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",