fixed examples and removed 'xrange' from class_list.cpp.py

shogun-toolbox · Apr 6, 2012 · 708770a · 708770a
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diff --git a/examples/undocumented/python_modular/classifier_averaged_perceptron_modular.py b/examples/undocumented/python_modular/classifier_averaged_perceptron_modular.py
@@ -24,9 +24,9 @@ def classifier_averaged_perceptron_modular (fm_train_real=traindat,fm_test_real=
 
 	perceptron.set_features(feats_test)
 	out_labels = perceptron.apply().get_labels()
-	#print out_labels
+	#print(out_labels)
 	return perceptron, out_labels
 
 if __name__=='__main__':
-	print 'AveragedPerceptron'
+	print('AveragedPerceptron')
 	classifier_averaged_perceptron_modular(*parameter_list[0])
diff --git a/examples/undocumented/python_modular/classifier_conjugateindex_modular.py b/examples/undocumented/python_modular/classifier_conjugateindex_modular.py
@@ -23,5 +23,5 @@ def classifier_conjugateindex_modular (fm_train_real=traindat,fm_test_real=testd
 	return ci, res
 
 if __name__=='__main__':
-	print 'ConjugateIndex'
+	print('ConjugateIndex')
 	classifier_conjugateindex_modular(*parameter_list[0])
diff --git a/examples/undocumented/python_modular/classifier_custom_kernel_modular.py b/examples/undocumented/python_modular/classifier_custom_kernel_modular.py
@@ -24,5 +24,5 @@ def classifier_custom_kernel_modular(C=1,dim=7):
 	return svm,out
 
 if __name__=='__main__':
-	print 'custom_kernel'
+	print('custom_kernel')
 	classifier_custom_kernel_modular(*parameter_list[0])
diff --git a/examples/undocumented/python_modular/classifier_domainadaptationsvm_modular.py b/examples/undocumented/python_modular/classifier_domainadaptationsvm_modular.py
@@ -73,7 +73,7 @@ def classifier_domainadaptationsvm_modular(fm_train_dna=traindna,fm_test_dna=tes
 
 	#####################################
 
-	#print "obtaining DA SVM from previously trained SVM"
+	#print("obtaining DA SVM from previously trained SVM")
 
 	feats_train2 = StringCharFeatures(fm_train_dna, DNA)
 	feats_test2 = StringCharFeatures(fm_test_dna, DNA)
@@ -89,5 +89,5 @@ def classifier_domainadaptationsvm_modular(fm_train_dna=traindna,fm_test_dna=tes
 	return out #,dasvm TODO
 
 if __name__=='__main__':
-	print 'SVMLight'
+	print('SVMLight')
 	classifier_domainadaptationsvm_modular(*parameter_list[0])
diff --git a/examples/undocumented/python_modular/classifier_gaussiannaivebayes_modular.py b/examples/undocumented/python_modular/classifier_gaussiannaivebayes_modular.py
@@ -20,5 +20,5 @@ def classifier_gaussiannaivebayes_modular(fm_train_real=traindat,fm_test_real=te
 	return gnb, gnb_train, output
 
 if __name__=='__main__':
-	print 'GaussianNaiveBayes'
+	print('GaussianNaiveBayes')
 	classifier_gaussiannaivebayes_modular(*parameter_list[0])
diff --git a/examples/undocumented/python_modular/classifier_gmnpsvm_modular.py b/examples/undocumented/python_modular/classifier_gmnpsvm_modular.py
@@ -27,5 +27,5 @@ def classifier_gmnpsvm_modular (fm_train_real=traindat,fm_test_real=testdat,labe
 	out=svm.apply(feats_test).get_labels()
 	return out,kernel
 if __name__=='__main__':
-	print 'GMNPSVM'
+	print('GMNPSVM')
 	classifier_gmnpsvm_modular(*parameter_list[0])
diff --git a/examples/undocumented/python_modular/classifier_gpbtsvm_modular.py b/examples/undocumented/python_modular/classifier_gpbtsvm_modular.py
@@ -30,5 +30,5 @@ def classifier_gpbtsvm_modular (fm_train_real=traindat,fm_test_real=testdat,labe
 
 
 if __name__=='__main__':
-	print 'GPBTSVM'
+	print('GPBTSVM')
 	classifier_gpbtsvm_modular(*parameter_list[0])
diff --git a/examples/undocumented/python_modular/classifier_knn_modular.py b/examples/undocumented/python_modular/classifier_knn_modular.py
@@ -25,5 +25,5 @@ def classifier_knn_modular(fm_train_real=traindat,fm_test_real=testdat,label_tra
 	return knn,knn_train,output,multiple_k
 
 if __name__=='__main__':
-	print 'KNN'
+	print('KNN')
 	classifier_knn_modular(*parameter_list[0])
diff --git a/examples/undocumented/python_modular/classifier_larank_modular.py b/examples/undocumented/python_modular/classifier_larank_modular.py
@@ -35,6 +35,6 @@ def classifier_larank_modular (fm_train_real=traindat,fm_test_real=testdat,label
 
 
 if __name__=='__main__':
-	print 'LaRank'
+	print('LaRank')
 	classifier_larank_modular(*parameter_list[0])
 
diff --git a/examples/undocumented/python_modular/classifier_lda_modular.py b/examples/undocumented/python_modular/classifier_lda_modular.py
@@ -26,5 +26,5 @@ def classifier_lda_modular (fm_train_real=traindat,fm_test_real=testdat,label_tr
 	return lda,lda.apply().get_labels()
 
 if __name__=='__main__':
-	print 'LDA'
+	print('LDA')
 	classifier_lda_modular(*parameter_list[0])
diff --git a/examples/undocumented/python_modular/classifier_liblinear_modular.py b/examples/undocumented/python_modular/classifier_liblinear_modular.py
@@ -33,7 +33,7 @@ def classifier_liblinear_modular(fm_train_real, fm_test_real,
 
 
 if __name__=='__main__':
-	print 'LibLinear'
+	print('LibLinear')
 	classifier_liblinear_modular(*parameter_list[0])
 
 
diff --git a/examples/undocumented/python_modular/classifier_libsvm_minimal_modular.py b/examples/undocumented/python_modular/classifier_libsvm_minimal_modular.py
@@ -26,4 +26,4 @@
 kernel.init(feats_train, feats_test);
 out=svm.apply().get_labels();
 testerr=mean(sign(out)!=testlab)
-print testerr
+print(testerr)
diff --git a/examples/undocumented/python_modular/classifier_libsvm_modular.py b/examples/undocumented/python_modular/classifier_libsvm_modular.py
@@ -30,5 +30,5 @@ def classifier_libsvm_modular (fm_train_real=traindat,fm_test_real=testdat,label
 	return predictions, svm, predictions.get_labels()
 
 if __name__=='__main__':
-	print 'LibSVM'
+	print('LibSVM')
 	classifier_libsvm_modular(*parameter_list[0])
diff --git a/examples/undocumented/python_modular/classifier_libsvmmulticlass_modular.py b/examples/undocumented/python_modular/classifier_libsvmmulticlass_modular.py
@@ -28,5 +28,5 @@ def classifier_libsvmmulticlass_modular (fm_train_real=traindat,fm_test_real=tes
 	return predictions, svm, predictions.get_labels()
 
 if __name__=='__main__':
-	print 'LibSVMMultiClass'	
+	print('LibSVMMultiClass'	)
 	classifier_libsvmmulticlass_modular(*parameter_list[0])
diff --git a/examples/undocumented/python_modular/classifier_libsvmoneclass_modular.py b/examples/undocumented/python_modular/classifier_libsvmoneclass_modular.py
@@ -27,5 +27,5 @@ def classifier_libsvmoneclass_modular (fm_train_real=traindat,fm_test_real=testd
 	return predictions, svm, predictions.get_labels()
 
 if __name__=='__main__':
-	print 'LibSVMOneClass'
+	print('LibSVMOneClass')
 	classifier_libsvmoneclass_modular(*parameter_list[0])
diff --git a/examples/undocumented/python_modular/classifier_mpdsvm_modular.py b/examples/undocumented/python_modular/classifier_mpdsvm_modular.py
@@ -30,5 +30,5 @@ def classifier_mpdsvm_modular (fm_train_real=traindat,fm_test_real=testdat,label
 	return predictions, svm, predictions.get_labels()
 
 if __name__=='__main__':
-	print 'MPDSVM'
+	print('MPDSVM')
 	classifier_mpdsvm_modular(*parameter_list[0])
diff --git a/examples/undocumented/python_modular/classifier_multiclassliblinear_modular.py b/examples/undocumented/python_modular/classifier_multiclassliblinear_modular.py
@@ -23,5 +23,5 @@ def classifier_multiclassliblinear_modular (fm_train_real=traindat,fm_test_real=
 	return out
 
 if __name__=='__main__':
-	print 'MulticlassLibLinear'
+	print('MulticlassLibLinear')
 	classifier_multiclassliblinear_modular(*parameter_list[0])
diff --git a/examples/undocumented/python_modular/classifier_multiclasslinearmachine_modular.py b/examples/undocumented/python_modular/classifier_multiclasslinearmachine_modular.py
@@ -26,5 +26,5 @@ def classifier_multiclasslinearmachine_modular (fm_train_real=traindat,fm_test_r
 	return out
 
 if __name__=='__main__':
-	print 'MulticlassMachine'
+	print('MulticlassMachine')
 	classifier_multiclasslinearmachine_modular(*parameter_list[0])
diff --git a/examples/undocumented/python_modular/classifier_multiclassmachine_modular.py b/examples/undocumented/python_modular/classifier_multiclassmachine_modular.py
@@ -28,5 +28,5 @@ def classifier_multiclassmachine_modular (fm_train_real=traindat,fm_test_real=te
 	return out
 
 if __name__=='__main__':
-	print 'MulticlassMachine'
+	print('MulticlassMachine')
 	classifier_multiclassmachine_modular(*parameter_list[0])
diff --git a/examples/undocumented/python_modular/classifier_multiclassocas_modular.py b/examples/undocumented/python_modular/classifier_multiclassocas_modular.py
@@ -23,5 +23,5 @@ def classifier_multiclassocas_modular (fm_train_real=traindat,fm_test_real=testd
 	return out
 
 if __name__=='__main__':
-	print 'MulticlassOCAS'
+	print('MulticlassOCAS')
 	classifier_multiclassocas_modular(*parameter_list[0])
diff --git a/examples/undocumented/python_modular/classifier_perceptron_modular.py b/examples/undocumented/python_modular/classifier_perceptron_modular.py
@@ -27,5 +27,5 @@ def classifier_perceptron_modular (fm_train_real=traindat,fm_test_real=testdat,l
 	return perceptron, out_labels
 
 if __name__=='__main__':
-	print 'Perceptron'
+	print('Perceptron')
 	classifier_perceptron_modular(*parameter_list[0])
diff --git a/examples/undocumented/python_modular/classifier_subgradientsvm_modular.py b/examples/undocumented/python_modular/classifier_subgradientsvm_modular.py
@@ -32,5 +32,5 @@ def classifier_subgradientsvm_modular(fm_train_real, fm_test_real,
 	return labels, svm
 
 if __name__=='__main__':
-	print 'SubGradientSVM'
+	print('SubGradientSVM')
 	classifier_subgradientsvm_modular(*parameter_list[0])
diff --git a/examples/undocumented/python_modular/classifier_svmlight_batch_linadd_modular.py b/examples/undocumented/python_modular/classifier_svmlight_batch_linadd_modular.py
@@ -16,7 +16,7 @@ def classifier_svmlight_batch_linadd_modular(fm_train_dna, fm_test_dna,
 	try:
 		from shogun.Classifier import SVMLight
 	except ImportError:
-		print 'No support for SVMLight available.'
+		print('No support for SVMLight available.')
 		return
 
 	feats_train=StringCharFeatures(DNA)
@@ -37,7 +37,7 @@ def classifier_svmlight_batch_linadd_modular(fm_train_dna, fm_test_dna,
 
 	kernel.init(feats_train, feats_test)
 
-	#print 'SVMLight Objective: %f num_sv: %d' % \
+	#print('SVMLight Objective: %f num_sv: %d' % \)
 	#	(svm.get_objective(), svm.get_num_support_vectors())
 	svm.set_batch_computation_enabled(False)
 	svm.set_linadd_enabled(False)
@@ -49,5 +49,5 @@ def classifier_svmlight_batch_linadd_modular(fm_train_dna, fm_test_dna,
 
 
 if __name__=='__main__':
-	print 'SVMlight batch'
+	print('SVMlight batch')
 	classifier_svmlight_batch_linadd_modular(*parameter_list[0])
diff --git a/examples/undocumented/python_modular/classifier_svmlight_linear_term_modular.py b/examples/undocumented/python_modular/classifier_svmlight_linear_term_modular.py
@@ -54,5 +54,5 @@ def classifier_svmlight_linear_term_modular(fm_train_dna=traindna,fm_test_dna=te
     return out,kernel
 
 if __name__=='__main__':
-    print 'SVMLight'
+    print('SVMLight')
     classifier_svmlight_linear_term_modular(*parameter_list[0])
diff --git a/examples/undocumented/python_modular/classifier_svmlight_modular.py b/examples/undocumented/python_modular/classifier_svmlight_modular.py
@@ -13,7 +13,7 @@ def classifier_svmlight_modular (fm_train_dna=traindat,fm_test_dna=testdat,label
 	try:
 		from shogun.Classifier import SVMLight
 	except ImportError:
-		print 'No support for SVMLight available.'
+		print('No support for SVMLight available.')
 		return
 
 	feats_train=StringCharFeatures(DNA)
@@ -35,5 +35,5 @@ def classifier_svmlight_modular (fm_train_dna=traindat,fm_test_dna=testdat,label
 	svm.apply().get_labels()
 	return kernel
 if __name__=='__main__':
-	print 'SVMLight'
+	print('SVMLight')
 	classifier_svmlight_modular(*parameter_list[0])
diff --git a/examples/undocumented/python_modular/classifier_svmlin_modular.py b/examples/undocumented/python_modular/classifier_svmlin_modular.py
@@ -35,5 +35,5 @@ def classifier_svmlin_modular (fm_train_real=traindat,fm_test_real=testdat,label
 
 
 if __name__=='__main__':
-	print 'SVMLin'
+	print('SVMLin')
 	classifier_svmlin_modular(*parameter_list[0])
diff --git a/examples/undocumented/python_modular/classifier_svmocas_modular.py b/examples/undocumented/python_modular/classifier_svmocas_modular.py
@@ -33,5 +33,5 @@ def classifier_svmocas_modular (fm_train_real=traindat,fm_test_real=testdat,labe
 	return predictions, svm, predictions.get_labels()
 
 if __name__=='__main__':
-	print 'SVMOcas'
+	print('SVMOcas')
 	classifier_svmocas_modular(*parameter_list[0])
diff --git a/examples/undocumented/python_modular/classifier_svmsgd_modular.py b/examples/undocumented/python_modular/classifier_svmsgd_modular.py
@@ -34,5 +34,5 @@ def classifier_svmsgd_modular (fm_train_real=traindat,fm_test_real=testdat,label
 
 
 if __name__=='__main__':
-	print 'SVMSGD'
+	print('SVMSGD')
 	classifier_svmsgd_modular(*parameter_list[0])
diff --git a/examples/undocumented/python_modular/clustering_gmm_modular.py b/examples/undocumented/python_modular/clustering_gmm_modular.py
@@ -43,6 +43,6 @@ def clustering_gmm_modular (fm_train=generated,n=2,min_cov=1e-9,max_iter=1000,mi
 	return est_gmm
 
 if __name__=='__main__':
-	print 'GMM'
+	print('GMM')
 	clustering_gmm_modular(*parameter_list[0])
 
diff --git a/examples/undocumented/python_modular/clustering_hierarchical_modular.py b/examples/undocumented/python_modular/clustering_hierarchical_modular.py
@@ -24,5 +24,5 @@ def clustering_hierarchical_modular (fm_train=traindat,merges=3):
 	return hierarchical,out_distance,out_cluster 
 
 if __name__=='__main__':
-	print 'Hierarchical'
+	print('Hierarchical')
 	clustering_hierarchical_modular(*parameter_list[0])
diff --git a/examples/undocumented/python_modular/clustering_kmeans_modular.py b/examples/undocumented/python_modular/clustering_kmeans_modular.py
@@ -29,6 +29,6 @@ def clustering_kmeans_modular (fm_train=traindat,k=3):
 	return out_centers, kmeans
 
 if __name__=='__main__':
-	print 'KMeans'
+	print('KMeans')
 	clustering_kmeans_modular(*parameter_list[0])
 
diff --git a/examples/undocumented/python_modular/converter_diffusionmaps_modular.py b/examples/undocumented/python_modular/converter_diffusionmaps_modular.py
@@ -22,6 +22,6 @@ def converter_diffusionmaps_modular(data,t):
 
 
 if __name__=='__main__':
-	print 'DiffusionMaps'
+	print('DiffusionMaps')
 	converter_diffusionmaps_modular(*parameter_list[0])
 
diff --git a/examples/undocumented/python_modular/converter_hessianlocallylinearembedding_modular.py b/examples/undocumented/python_modular/converter_hessianlocallylinearembedding_modular.py
@@ -20,6 +20,6 @@ def converter_hessianlocallylinearembedding_modular(data,k):
 
 
 if __name__=='__main__':
-	print 'HessianLocallyLinearEmbedding'
+	print('HessianLocallyLinearEmbedding')
 	converter_hessianlocallylinearembedding_modular(*parameter_list[0])
 
diff --git a/examples/undocumented/python_modular/converter_isomap_modular.py b/examples/undocumented/python_modular/converter_isomap_modular.py
@@ -22,6 +22,6 @@ def converter_isomap_modular(data):
 
 
 if __name__=='__main__':
-	print 'Isomap'
+	print('Isomap')
 	converter_isomap_modular(*parameter_list[0])
 
diff --git a/examples/undocumented/python_modular/converter_kernellocallylinearembedding_modular.py b/examples/undocumented/python_modular/converter_kernellocallylinearembedding_modular.py
@@ -23,6 +23,6 @@ def converter_kernellocallylinearembedding_modular(data,k):
 
 
 if __name__=='__main__':
-	print 'KernelLocallyLinearEmbedding'
+	print('KernelLocallyLinearEmbedding')
 	converter_kernellocallylinearembedding_modular(*parameter_list[0])
 
diff --git a/examples/undocumented/python_modular/converter_kernellocaltangentspacealignment_modular.py b/examples/undocumented/python_modular/converter_kernellocaltangentspacealignment_modular.py
@@ -20,6 +20,6 @@ def converter_kernellocaltangentspacealignment_modular(data,k):
 
 
 if __name__=='__main__':
-	print 'KernelLocalTangentSpaceAlignment'
+	print('KernelLocalTangentSpaceAlignment')
 	converter_kernellocaltangentspacealignment_modular(*parameter_list[0])
 
diff --git a/examples/undocumented/python_modular/converter_laplacianeigenmaps_modular.py b/examples/undocumented/python_modular/converter_laplacianeigenmaps_modular.py
@@ -21,6 +21,6 @@ def converter_laplacianeigenmaps_modular(data,k):
 
 
 if __name__=='__main__':
-	print 'LaplacianEigenmaps'
+	print('LaplacianEigenmaps')
 	converter_laplacianeigenmaps_modular(*parameter_list[0])
 
diff --git a/examples/undocumented/python_modular/converter_linearlocaltangentspacealignment_modular.py b/examples/undocumented/python_modular/converter_linearlocaltangentspacealignment_modular.py
@@ -20,6 +20,6 @@ def converter_linearlocaltangentspacealignment_modular(data,k):
 
 
 if __name__=='__main__':
-	print 'LinearLocalTangentSpaceAlignment'
+	print('LinearLocalTangentSpaceAlignment')
 	converter_linearlocaltangentspacealignment_modular(*parameter_list[0])
 
diff --git a/examples/undocumented/python_modular/converter_localitypreservingprojections_modular.py b/examples/undocumented/python_modular/converter_localitypreservingprojections_modular.py
@@ -21,6 +21,6 @@ def converter_localitypreservingprojections_modular(data,k):
 
 
 if __name__=='__main__':
-	print 'LocalityPreservingProjections'
+	print('LocalityPreservingProjections')
 	converter_localitypreservingprojections_modular(*parameter_list[0])
 
diff --git a/examples/undocumented/python_modular/converter_locallylinearembedding_modular.py b/examples/undocumented/python_modular/converter_locallylinearembedding_modular.py
@@ -20,6 +20,6 @@ def converter_locallylinearembedding_modular(data,k):
 
 
 if __name__=='__main__':
-	print 'LocallyLinearEmbedding'
+	print('LocallyLinearEmbedding')
 	converter_locallylinearembedding_modular(*parameter_list[0])
 
diff --git a/examples/undocumented/python_modular/converter_localtangentspacealignment_modular.py b/examples/undocumented/python_modular/converter_localtangentspacealignment_modular.py
@@ -20,6 +20,6 @@ def converter_localtangentspacealignment_modular(data,k):
 
 
 if __name__=='__main__':
-	print 'LocalTangentSpaceAlignment'
+	print('LocalTangentSpaceAlignment')
 	converter_localtangentspacealignment_modular(*parameter_list[0])
 
diff --git a/examples/undocumented/python_modular/converter_multidimensionalscaling_modular.py b/examples/undocumented/python_modular/converter_multidimensionalscaling_modular.py
@@ -30,5 +30,5 @@ def converter_multidimensionalscaling_modular(data):
 	return numpy.linalg.norm(distance_matrix_after-distance_matrix_before)/numpy.linalg.norm(distance_matrix_before)
 
 if __name__=='__main__':
-	print 'MultidimensionalScaling'
+	print('MultidimensionalScaling')
 	converter_multidimensionalscaling_modular(*parameter_list[0])
diff --git a/examples/undocumented/python_modular/converter_stochasticproximityembedding_modular.py b/examples/undocumented/python_modular/converter_stochasticproximityembedding_modular.py
@@ -25,5 +25,5 @@ def converter_stochasticproximityembedding_modular(data, k):
 	return features
 
 if __name__=='__main__':
-	print 'StochasticProximityEmbedding'
+	print('StochasticProximityEmbedding')
 	converter_stochasticproximityembedding_modular(*parameter_list[0])
diff --git a/examples/undocumented/python_modular/distance_braycurtis_modular.py b/examples/undocumented/python_modular/distance_braycurtis_modular.py
@@ -24,6 +24,6 @@ def distance_braycurtis_modular (fm_train_real=traindat,fm_test_real=testdat):
 	return distance,dm_train,dm_test
 
 if __name__=='__main__':
-	print 'BrayCurtisDistance'
+	print('BrayCurtisDistance')
 	distance_braycurtis_modular(*parameter_list[0])
 
diff --git a/examples/undocumented/python_modular/distance_canberra_modular.py b/examples/undocumented/python_modular/distance_canberra_modular.py
@@ -21,5 +21,5 @@ def distance_canberra_modular (fm_train_real=traindat,fm_test_real=testdat):
 	return distance,dm_train,dm_test
 
 if __name__=='__main__':
-	print 'CanberaMetric'
+	print('CanberaMetric')
 	distance_canberra_modular(*parameter_list[0])
diff --git a/examples/undocumented/python_modular/distance_canberraword_modular.py b/examples/undocumented/python_modular/distance_canberraword_modular.py
@@ -36,5 +36,5 @@ def distance_canberraword_modular (fm_train_dna=traindna,fm_test_dna=testdna,ord
 	return distance,dm_train,dm_test
 
 if __name__=='__main__':
-	print 'CanberraWordDistance'
+	print('CanberraWordDistance')
 	distance_canberraword_modular(*parameter_list[0])
diff --git a/examples/undocumented/python_modular/distance_chebyshew_modular.py b/examples/undocumented/python_modular/distance_chebyshew_modular.py
@@ -23,5 +23,5 @@ def distance_chebyshew_modular (fm_train_real=traindat,fm_test_real=testdat):
 	return distance,dm_train,dm_test
 
 if __name__=='__main__':
-	print 'ChebyshewMetric'
+	print('ChebyshewMetric')
 	distance_chebyshew_modular(*parameter_list[0])
diff --git a/examples/undocumented/python_modular/distance_chisquare_modular.py b/examples/undocumented/python_modular/distance_chisquare_modular.py
@@ -21,5 +21,5 @@ def distance_chisquare_modular (fm_train_real=traindat,fm_test_real=testdat):
 	return distance,dm_train,dm_test
 
 if __name__=='__main__':
-	print 'ChiSquareDistance'
+	print('ChiSquareDistance')
 	distance_chisquare_modular(*parameter_list[0])
diff --git a/examples/undocumented/python_modular/distance_cosine_modular.py b/examples/undocumented/python_modular/distance_cosine_modular.py
@@ -23,5 +23,5 @@ def distance_cosine_modular (fm_train_real=traindat,fm_test_real=testdat):
 	return distance,dm_train,dm_test
 
 if __name__=='__main__':
-	print 'CosineDistance'
+	print('CosineDistance')
 	distance_cosine_modular(*parameter_list[0])