Merge pull request #3805 from besser82/bugfix/examples_python_modular

Finally fix all python_modular examples
shogun-toolbox · Apr 30, 2017 · 3e9e98e · 3e9e98e
2 parents 308f924 + 2750740
commit 3e9e98e
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Showing 3 changed files with 6 additions and 6 deletions.
diff --git a/examples/undocumented/python_modular/classifier_larank_modular.py b/examples/undocumented/python_modular/classifier_larank_modular.py
@@ -18,8 +18,8 @@ def classifier_larank_modular (num_vec,num_class,distance,C=0.9,num_threads=1,nu
 	fm_train=array(random.randn(num_class,num_vec))
 	fm_test=array(random.randn(num_class,num_vec))
 	for i in range(len(label_train)):
-		fm_train[label_train[i],int(i)]+=distance
-		fm_test[label_test[i],int(i)]+=distance
+		fm_train[int(label_train[i]),i]+=distance
+		fm_test[int(label_test[i]),i]+=distance
 
 	feats_train=RealFeatures(fm_train)
 	feats_test=RealFeatures(fm_test)

diff --git a/examples/undocumented/python_modular/classifier_multiclassocas_modular.py b/examples/undocumented/python_modular/classifier_multiclassocas_modular.py
@@ -21,8 +21,8 @@ def classifier_multiclassocas_modular (num_vec=10,num_class=3,distance=15,width=
 	fm_train=array(random.randn(num_class,num_vec))
 	fm_test=array(random.randn(num_class,num_vec))
 	for i in range(len(label_train)):
-		fm_train[label_train[i],int(i)]+=distance
-		fm_test[label_test[i],int(i)]+=distance
+		fm_train[int(label_train[i]),i]+=distance
+		fm_test[int(label_test[i]),i]+=distance
 
 	feats_train=RealFeatures(fm_train)
 	feats_test=RealFeatures(fm_test)

diff --git a/examples/undocumented/python_modular/stochasticgbmachine_modular.py b/examples/undocumented/python_modular/stochasticgbmachine_modular.py
@@ -39,8 +39,8 @@ def stochasticgbmachine_modular(train=traindat,train_labels=label_traindat,ft=fe
 	labels.remove_subset()
 
 	# apply
-	feats.add_subset(np.int32(p[num:len(p)]))
-	labels.add_subset(np.int32(p[num:len(p)]))
+	feats.add_subset(np.int32(p[int(num):len(p)]))
+	labels.add_subset(np.int32(p[int(num):len(p)]))
 	output=s.apply_regression(feats)
 
 	feats.remove_subset()