diff --git a/data b/data
index 5abc4108801..4788158ef84 160000
--- a/data
+++ b/data
@@ -1 +1 @@
-Subproject commit 5abc41088015f9174f93dc951a0ba96c7c5c0c9c
+Subproject commit 4788158ef84957a70b434688a69a275854048351
diff --git a/examples/undocumented/python_modular/kernel_histogram_word_string_modular.py b/examples/undocumented/python_modular/kernel_histogram_word_string_modular.py
index f584db1f7e7..140bbf3c52d 100644
--- a/examples/undocumented/python_modular/kernel_histogram_word_string_modular.py
+++ b/examples/undocumented/python_modular/kernel_histogram_word_string_modular.py
@@ -5,34 +5,32 @@
 traindat = lm.load_dna('../data/fm_train_dna.dat')
 testdat = lm.load_dna('../data/fm_test_dna.dat')
 label_traindat = lm.load_labels('../data/label_train_dna.dat')
-parameter_list=[[traindat,testdat,label_traindat,3,0,False],[traindat,testdat,label_traindat,3,0,False]]
+parameter_list=[[traindat,testdat,label_traindat,1,1e1, 1e0],[traindat,testdat,label_traindat,1,1e4,1e4]]
 
-def kernel_histogram_word_string_modular (fm_train_dna=traindat,fm_test_dna=testdat,label_train_dna=label_traindat,order=3,gap=0,reverse=False):
+def kernel_histogram_word_string_modular (fm_train_dna=traindat,fm_test_dna=testdat,label_train_dna=label_traindat,order=3,ppseudo_count=1,npseudo_count=1):
 
 	from modshogun import StringCharFeatures, StringWordFeatures, DNA, BinaryLabels
 	from modshogun import HistogramWordStringKernel, AvgDiagKernelNormalizer
 	from modshogun import PluginEstimate#, MSG_DEBUG
 
-	reverse = reverse
 	charfeat=StringCharFeatures(DNA)
 	#charfeat.io.set_loglevel(MSG_DEBUG)
 	charfeat.set_features(fm_train_dna)
 	feats_train=StringWordFeatures(charfeat.get_alphabet())
-	feats_train.obtain_from_char(charfeat, order-1, order, gap, reverse)
+	feats_train.obtain_from_char(charfeat, order-1, order, 0, False)
 
 	charfeat=StringCharFeatures(DNA)
 	charfeat.set_features(fm_test_dna)
 	feats_test=StringWordFeatures(charfeat.get_alphabet())
-	feats_test.obtain_from_char(charfeat, order-1, order, gap, reverse)
+	feats_test.obtain_from_char(charfeat, order-1, order, 0, False)
 
-	pie=PluginEstimate()
+	pie=PluginEstimate(ppseudo_count,npseudo_count)
 	labels=BinaryLabels(label_train_dna)
 	pie.set_labels(labels)
 	pie.set_features(feats_train)
 	pie.train()
 
 	kernel=HistogramWordStringKernel(feats_train, feats_train, pie)
-	kernel.set_normalizer(AvgDiagKernelNormalizer())
 	km_train=kernel.get_kernel_matrix()
 	kernel.init(feats_train, feats_test)
 	pie.set_features(feats_test)
diff --git a/examples/undocumented/python_modular/mathematics_linsolver_cg.py b/examples/undocumented/python_modular/mathematics_linsolver_cg.py
index 1e4ad20e450..c251b17395f 100644
--- a/examples/undocumented/python_modular/mathematics_linsolver_cg.py
+++ b/examples/undocumented/python_modular/mathematics_linsolver_cg.py
@@ -1,10 +1,10 @@
 #!/usr/bin/env python
 
-from numpy import *
+import numpy
 from scipy.io import mmread
 
 # Loading an example sparse matrix of dimension 479x479, real, unsymmetric
-mtx=mmread('../../../data/logdet/west0479.mtx.gz')
+mtx=mmread('../../../data/logdet/west0479.mtx')
 
 parameter_list=[[mtx,6000,10]]
 
@@ -18,8 +18,8 @@ def mathematics_linsolver_cg (matrix=mtx,max_iter=1000,seed=10):
 	A=matrix.transpose()*matrix+eye(rows, cols)
 
 	# Create a random vector (b) of the system Ax=b
-	random.seed(seed)
-	b=array(random.randn(rows))
+	numpy.random.seed(seed)
+	b=numpy.array(numpy.random.randn(rows))
 
 	# create linear system with linear operator and vector
 	from scipy.sparse import csc_matrix
@@ -38,7 +38,7 @@ def mathematics_linsolver_cg (matrix=mtx,max_iter=1000,seed=10):
 		# verifying the solution via direct solving
 		from scipy.sparse.linalg import spsolve, eigsh
 		y=spsolve(A,b)
-		print(sqrt(sum(map(lambda z: z*z,x-y))))
+		print(numpy.linalg.norm(x-y))
 
 		return x
 
diff --git a/examples/undocumented/python_modular/mathematics_logdet.py b/examples/undocumented/python_modular/mathematics_logdet.py
index 52a3836198f..8ad6bc0c276 100644
--- a/examples/undocumented/python_modular/mathematics_logdet.py
+++ b/examples/undocumented/python_modular/mathematics_logdet.py
@@ -4,7 +4,7 @@
 from scipy.io import mmread
 
 # Loading an example sparse matrix of dimension 479x479, real, unsymmetric
-mtx=mmread('../../../data/logdet/west0479.mtx.gz')
+mtx=mmread('../../../data/logdet/west0479.mtx')
 
 parameter_list=[[mtx,100,60,1]]
 
diff --git a/examples/undocumented/python_modular/structure_dynprog_modular.py b/examples/undocumented/python_modular/structure_dynprog_modular.py
index 57eb69850aa..b9298489128 100644
--- a/examples/undocumented/python_modular/structure_dynprog_modular.py
+++ b/examples/undocumented/python_modular/structure_dynprog_modular.py
@@ -65,6 +65,11 @@ def loads(str):
 	return unpickler.load()
 
 def structure_dynprog_modular (fname):
+	import sys
+
+	#pickle is not compatible between python2 -> 3
+	if sys.version_info[0]>2:
+		return
 
 	data_dict = loads(gzip.GzipFile(fname).read())
 	#data_dict = loadmat('../data/DynProg_example_py.dat.mat', appendmat=False, struct_as_record=False)
diff --git a/src/shogun/base/Parameter.cpp b/src/shogun/base/Parameter.cpp
index 3a4b743924d..2714b786a0a 100644
--- a/src/shogun/base/Parameter.cpp
+++ b/src/shogun/base/Parameter.cpp
@@ -3197,7 +3197,7 @@ bool TParameter::equals(TParameter* other, float64_t accuracy)
 			SG_SDEBUG("length_y: %d\n", *m_datatype.m_length_y)
 			for (index_t i=0; i<*m_datatype.m_length_y; ++i)
 			{
-				SG_SDEBUG("comparing element %d which is %d byes from start\n",
+				SG_SDEBUG("comparing element %d which is %d bytes from start\n",
 						i, x);
 
 				void* pointer_a=&((*(char**)m_parameter)[x]);
@@ -3283,7 +3283,7 @@ bool TParameter::compare_ptype(EPrimitiveType ptype, void* data1, void* data2,
 
 	if ((data1 && !data2) || (!data1 && data2))
 	{
-		SG_SDEBUG("leaving TParameter::compare_ptype(): data1 is at %p while "
+		SG_SINFO("leaving TParameter::compare_ptype(): data1 is at %p while "
 				"data2 is at %p\n", data1, data2);
 		return false;
 	}
@@ -3304,7 +3304,7 @@ bool TParameter::compare_ptype(EPrimitiveType ptype, void* data1, void* data2,
 
 		if (CMath::abs(casted1-casted2)>accuracy)
 		{
-			SG_SDEBUG("leaving TParameter::compare_ptype(): PT_BOOL: "
+			SG_SINFO("leaving TParameter::compare_ptype(): PT_BOOL: "
 					"data1=%d, data2=%d\n", casted1, casted2);
 			return false;
 		}
@@ -3317,7 +3317,7 @@ bool TParameter::compare_ptype(EPrimitiveType ptype, void* data1, void* data2,
 
 		if (CMath::abs(casted1-casted2)>accuracy)
 		{
-			SG_SDEBUG("leaving TParameter::compare_ptype(): PT_CHAR: "
+			SG_SINFO("leaving TParameter::compare_ptype(): PT_CHAR: "
 					"data1=%c, data2=%c\n", casted1, casted2);
 			return false;
 		}
@@ -3330,7 +3330,7 @@ bool TParameter::compare_ptype(EPrimitiveType ptype, void* data1, void* data2,
 
 		if (CMath::abs(casted1-casted2)>accuracy)
 		{
-			SG_SDEBUG("leaving TParameter::compare_ptype(): PT_INT8: "
+			SG_SINFO("leaving TParameter::compare_ptype(): PT_INT8: "
 					"data1=%d, data2=%d\n", casted1, casted2);
 			return false;
 		}
@@ -3343,7 +3343,7 @@ bool TParameter::compare_ptype(EPrimitiveType ptype, void* data1, void* data2,
 
 		if (CMath::abs(casted1-casted2)>accuracy)
 		{
-			SG_SDEBUG("leaving TParameter::compare_ptype(): PT_UINT8: "
+			SG_SINFO("leaving TParameter::compare_ptype(): PT_UINT8: "
 					"data1=%d, data2=%d\n", casted1, casted2);
 			return false;
 		}
@@ -3356,7 +3356,7 @@ bool TParameter::compare_ptype(EPrimitiveType ptype, void* data1, void* data2,
 
 		if (CMath::abs(casted1-casted2)>accuracy)
 		{
-			SG_SDEBUG("leaving TParameter::compare_ptype(): PT_INT16: "
+			SG_SINFO("leaving TParameter::compare_ptype(): PT_INT16: "
 					"data1=%d, data2=%d\n", casted1, casted2);
 			return false;
 		}
@@ -3369,7 +3369,7 @@ bool TParameter::compare_ptype(EPrimitiveType ptype, void* data1, void* data2,
 
 		if (CMath::abs(casted1-casted2)>accuracy)
 		{
-			SG_SDEBUG("leaving TParameter::compare_ptype(): PT_UINT16: "
+			SG_SINFO("leaving TParameter::compare_ptype(): PT_UINT16: "
 					"data1=%d, data2=%d\n", casted1, casted2);
 			return false;
 		}
@@ -3382,7 +3382,7 @@ bool TParameter::compare_ptype(EPrimitiveType ptype, void* data1, void* data2,
 
 		if (CMath::abs(casted1-casted2)>accuracy)
 		{
-			SG_SDEBUG("leaving TParameter::compare_ptype(): PT_INT32: "
+			SG_SINFO("leaving TParameter::compare_ptype(): PT_INT32: "
 					"data1=%d, data2=%d\n", casted1, casted2);
 			return false;
 		}
@@ -3395,7 +3395,7 @@ bool TParameter::compare_ptype(EPrimitiveType ptype, void* data1, void* data2,
 
 		if (CMath::abs(casted1-casted2)>accuracy)
 		{
-			SG_SDEBUG("leaving TParameter::compare_ptype(): PT_UINT32: "
+			SG_SINFO("leaving TParameter::compare_ptype(): PT_UINT32: "
 					"data1=%d, data2=%d\n", casted1, casted2);
 			return false;
 		}
@@ -3408,7 +3408,7 @@ bool TParameter::compare_ptype(EPrimitiveType ptype, void* data1, void* data2,
 
 		if (CMath::abs(casted1-casted2)>accuracy)
 		{
-			SG_SDEBUG("leaving TParameter::compare_ptype(): PT_INT64: "
+			SG_SINFO("leaving TParameter::compare_ptype(): PT_INT64: "
 					"data1=%d, data2=%d\n", casted1, casted2);
 			return false;
 		}
@@ -3421,7 +3421,7 @@ bool TParameter::compare_ptype(EPrimitiveType ptype, void* data1, void* data2,
 
 		if (CMath::abs(casted1-casted2)>accuracy)
 		{
-			SG_SDEBUG("leaving TParameter::compare_ptype(): PT_UINT64: "
+			SG_SINFO("leaving TParameter::compare_ptype(): PT_UINT64: "
 					"data1=%d, data2=%d\n", casted1, casted2);
 			return false;
 		}
@@ -3434,7 +3434,7 @@ bool TParameter::compare_ptype(EPrimitiveType ptype, void* data1, void* data2,
 
 		if (CMath::abs(casted1-casted2)>accuracy)
 		{
-			SG_SDEBUG("leaving TParameter::compare_ptype(): PT_FLOAT32: "
+			SG_SINFO("leaving TParameter::compare_ptype(): PT_FLOAT32: "
 					"data1=%f, data2=%f\n", casted1, casted2);
 			return false;
 		}
@@ -3447,7 +3447,7 @@ bool TParameter::compare_ptype(EPrimitiveType ptype, void* data1, void* data2,
 
 		if (CMath::abs(casted1-casted2)>accuracy)
 		{
-			SG_SDEBUG("leaving TParameter::compare_ptype(): PT_FLOAT64: "
+			SG_SINFO("leaving TParameter::compare_ptype(): PT_FLOAT64: "
 					"data1=%f, data2=%f\n", casted1, casted2);
 			return false;
 		}
@@ -3459,7 +3459,7 @@ bool TParameter::compare_ptype(EPrimitiveType ptype, void* data1, void* data2,
 		floatmax_t casted2=*((floatmax_t*)data2);
 		if (CMath::abs(casted1-casted2)>accuracy)
 		{
-			SG_SDEBUG("leaving TParameter::compare_ptype(): PT_FLOATMAX: "
+			SG_SINFO("leaving TParameter::compare_ptype(): PT_FLOATMAX: "
 					"data1=%f, data2=%f\n", casted1, casted2);
 			return false;
 		}
@@ -3474,7 +3474,7 @@ bool TParameter::compare_ptype(EPrimitiveType ptype, void* data1, void* data2,
 		if (CMath::abs(casted1_real-casted2_real)>accuracy ||
 			CMath::abs(casted1_imag-casted2_imag)>accuracy)
 		{
-			SG_SDEBUG("leaving TParameter::compare_ptype(): PT_COMPLEX128: "
+			SG_SINFO("leaving TParameter::compare_ptype(): PT_COMPLEX128: "
 					"data1=%f+i%f, data2=%f+i%f\n",
 					casted1_real, casted1_imag,
 					casted2_real, casted2_imag);
@@ -3499,7 +3499,7 @@ bool TParameter::compare_ptype(EPrimitiveType ptype, void* data1, void* data2,
 		{
 			if (!(casted1->equals(casted2, accuracy)))
 			{
-				SG_SDEBUG("leaving TParameter::compare_ptype(): PT_SGOBJECT "
+				SG_SINFO("leaving TParameter::compare_ptype(): PT_SGOBJECT "
 						"equals returned false\n");
 				return false;
 			}
@@ -3508,7 +3508,7 @@ bool TParameter::compare_ptype(EPrimitiveType ptype, void* data1, void* data2,
 		{
 			if (!(casted2->equals(casted1, accuracy)))
 			{
-				SG_SDEBUG("leaving TParameter::compare_ptype(): PT_SGOBJECT "
+				SG_SINFO("leaving TParameter::compare_ptype(): PT_SGOBJECT "
 						"equals returned false\n");
 				return false;
 			}
diff --git a/src/shogun/lib/DataType.cpp b/src/shogun/lib/DataType.cpp
index d342ed49eda..4651c3b91d4 100644
--- a/src/shogun/lib/DataType.cpp
+++ b/src/shogun/lib/DataType.cpp
@@ -67,26 +67,26 @@ bool TSGDataType::equals_without_length(TSGDataType other)
 {
 	if (m_ctype!=other.m_ctype)
 	{
-		SG_SDEBUG("leaving TSGDataType::equals_wihtout_length(): container types are "
+		SG_SDEBUG("leaving TSGDataType::equals_without_length(): container types are "
 				"different\n");
 		return false;
 	}
 
 	if (m_stype!=other.m_stype)
 	{
-		SG_SDEBUG("leaving TSGDataType::equals_wihtout_length(): struct types are "
+		SG_SDEBUG("leaving TSGDataType::equals_without_length(): struct types are "
 				"different\n");
 		return false;
 	}
 
 	if (m_ptype!=other.m_ptype)
 	{
-		SG_SDEBUG("leaving TSGDataType::equals_wihtout_length(): primitive types are "
+		SG_SDEBUG("leaving TSGDataType::equals_without_length(): primitive types are "
 				"different\n");
 		return false;
 	}
 
-	SG_SDEBUG("leaving TSGDataType::equals_wihtout_length(): data types "
+	SG_SDEBUG("leaving TSGDataType::equals_without_length(): data types "
 			"without lengths are equal\n");
 	return true;
 }
diff --git a/tests/integration/python_modular/tester.py b/tests/integration/python_modular/tester.py
index a7110cbd566..ebfadf8e539 100755
--- a/tests/integration/python_modular/tester.py
+++ b/tests/integration/python_modular/tester.py
@@ -10,6 +10,9 @@
 
 from generator import setup_tests, get_fname, blacklist, get_test_mod, run_test
 
+def is_python2():
+	return sys.version_info[0]==2
+
 def typecheck(a, b):
 	if str(type(a)).find('shogun')>=0 and \
 		str(type(a)).find('Labels')>=0 and \
@@ -42,6 +45,8 @@ def compare(a, b, tolerance, sgtolerance):
 
 		# print debug output in case of failure
 		if not result:
+			pickle.dump(a, open('/tmp/a','wb'))
+			pickle.dump(b, open('/tmp/b','wb'))
 			print("Equals failed with debug output")
 			old_loglevel=a.io.get_loglevel()
 			a.io.set_loglevel(modshogun.MSG_INFO)
@@ -93,7 +98,7 @@ def compare_dbg_helper(a, b, tolerance, sgtolerance):
 			print("Length mismatch (len(a)=%d vs len(b)=%d)" % (len(a), len(b)))
 			return False
 		for obj1, obj2 in zip(a,b):
-			if not compare_dbg(obj1, obj2, tolerance):
+			if not compare_dbg(obj1, obj2, tolerance, sgtolerance):
 				return False
 		return True
 
@@ -212,21 +217,22 @@ def tester(tests, cmp_method, opts):
 		for f in failed:
 			print("\t" + f[0])
 
-		print("Detailed failures:")
-		for f in failed:
-			print("\t" + f[0])
-			got=get_split_string(f[1])
-			expected=get_split_string(f[2])
-			#print "=== EXPECTED =========="
-			#import pdb
-			#pdb.set_trace()
-			#print '\n'.join(expected)
-			#print "=== GOT ==============="
-			#print '\n'.join(got)
-			print("====DIFF================")
-			print('\n'.join(difflib.unified_diff(expected, got, fromfile='expected', tofile='got')))
-			print("====EOT================")
-			print("\n\n\n")
+		if is_python2():
+			print("Detailed failures:")
+			for f in failed:
+				print("\t" + f[0])
+				got=get_split_string(f[1])
+				expected=get_split_string(f[2])
+				#print "=== EXPECTED =========="
+				#import pdb
+				#pdb.set_trace()
+				#print '\n'.join(expected)
+				#print "=== GOT ==============="
+				#print '\n'.join(got)
+				print("====DIFF================")
+				print('\n'.join(difflib.unified_diff(expected, got, fromfile='expected', tofile='got')))
+				print("====EOT================")
+				print("\n\n\n")
 
 		sys.exit(1)
 	sys.exit(0)