Fixed errors related to failing python examples

shogun-toolbox · Jul 3, 2012 · 06d9542 · 06d9542
1 parent d01d587
commit 06d9542
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Showing 3 changed files with 4 additions and 1 deletion.
diff --git a/examples/undocumented/python_modular/converter_kernellocaltangentspacealignment_modular.py b/examples/undocumented/python_modular/converter_kernellocaltangentspacealignment_modular.py
@@ -12,6 +12,7 @@ def converter_kernellocaltangentspacealignment_modular(data,k):
 	features = RealFeatures(data)
 
 	converter = KernelLocalTangentSpaceAlignment()
+	converter.set_nullspace_shift(-1e-3)
 	converter.set_target_dim(1)
 	converter.set_k(k)
 	converter.apply(features)

diff --git a/src/shogun/features/SparseFeatures.cpp b/src/shogun/features/SparseFeatures.cpp
@@ -758,7 +758,8 @@ template<class ST> CRegressionLabels* CSparseFeatures<ST>::load_svmlight_file(ch
 
 		lab=new CRegressionLabels(num_vectors);
 		sparse_feature_matrix=SG_MALLOC(SGSparseVector<ST>, num_vectors);
-
+		for (int32_t i=0; i<num_vectors; i++)
+			new (&sparse_feature_matrix[i]) SGSparseVector<ST>();
 		rewind(f);
 		sz=blocksize;
 		int32_t lines=0;

diff --git a/src/shogun/io/BinaryFile.cpp b/src/shogun/io/BinaryFile.cpp
@@ -142,6 +142,7 @@ void CBinaryFile::fname(SGSparseVector<sg_type>*& matrix, int32_t& num_feat, int
 																						\
 	for (int32_t i=0; i<num_vec; i++)													\
 	{																					\
+		new (&matrix[i]) SGSparseVector<sg_type>();										\
 		int32_t len=0;																	\
 		if (fread(&len, sizeof(int32_t), 1, file)!=1)									\
 			SG_ERROR("Failed to read sparse vector length of vector idx=%d\n", i);		\