Updated data generation routines in converters examples

shogun-toolbox · Sep 9, 2012 · 89373e4 · 89373e4
1 parent 2e41877
commit 89373e4
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Showing 12 changed files with 23 additions and 12 deletions.
diff --git a/examples/undocumented/libshogun/converter_diffusionmaps.cpp b/examples/undocumented/libshogun/converter_diffusionmaps.cpp
@@ -11,6 +11,7 @@
 #include <shogun/base/init.h>
 #include <shogun/features/DenseFeatures.h>
 #include <shogun/converter/DiffusionMaps.h>
+#include <shogun/mathematics/Math.h>
 
 using namespace shogun;
 
@@ -22,7 +23,7 @@ int main(int argc, char** argv)
 	int dim = 3;
 	float64_t* matrix = new double[N*dim];
 	for (int i=0; i<N*dim; i++)
-		matrix[i] = i;
+		matrix[i] = CMath::sin((i/float64_t(N*dim))*3.14);
 
 	CDenseFeatures<double>* features = new CDenseFeatures<double>(SGMatrix<double>(matrix,dim,N));
 	SG_REF(features);

diff --git a/examples/undocumented/libshogun/converter_hessianlocallylinearembedding.cpp b/examples/undocumented/libshogun/converter_hessianlocallylinearembedding.cpp
@@ -11,6 +11,7 @@
 #include <shogun/base/init.h>
 #include <shogun/features/DenseFeatures.h>
 #include <shogun/converter/HessianLocallyLinearEmbedding.h>
+#include <shogun/mathematics/Math.h>
 
 using namespace shogun;
 
@@ -22,7 +23,7 @@ int main(int argc, char** argv)
 	int dim = 3;
 	float64_t* matrix = new double[N*dim];
 	for (int i=0; i<N*dim; i++)
-		matrix[i] = i;
+		matrix[i] = CMath::sin((i/float64_t(N*dim))*3.14);
 
 	CDenseFeatures<double>* features = new CDenseFeatures<double>(SGMatrix<double>(matrix,dim,N));
 	SG_REF(features);

diff --git a/examples/undocumented/libshogun/converter_isomap.cpp b/examples/undocumented/libshogun/converter_isomap.cpp
@@ -11,6 +11,7 @@
 #include <shogun/base/init.h>
 #include <shogun/features/DenseFeatures.h>
 #include <shogun/converter/Isomap.h>
+#include <shogun/mathematics/Math.h>
 
 using namespace shogun;
 
@@ -22,7 +23,7 @@ int main(int argc, char** argv)
 	int dim = 3;
 	float64_t* matrix = new double[N*dim];
 	for (int i=0; i<N*dim; i++)
-		matrix[i] = i;
+		matrix[i] = CMath::sin((i/float64_t(N*dim))*3.14);
 
 	CDenseFeatures<double>* features = new CDenseFeatures<double>(SGMatrix<double>(matrix,dim,N));
 	SG_REF(features);

diff --git a/examples/undocumented/libshogun/converter_kernellocallylinearembedding.cpp b/examples/undocumented/libshogun/converter_kernellocallylinearembedding.cpp
@@ -12,6 +12,7 @@
 #include <shogun/features/DenseFeatures.h>
 #include <shogun/converter/KernelLocallyLinearEmbedding.h>
 #include <shogun/kernel/LinearKernel.h>
+#include <shogun/mathematics/Math.h>
 
 using namespace shogun;
 
@@ -23,7 +24,7 @@ int main(int argc, char** argv)
 	int dim = 3;
 	float64_t* matrix = new double[N*dim];
 	for (int i=0; i<N*dim; i++)
-		matrix[i] = i;
+		matrix[i] = CMath::sin((i/float64_t(N*dim))*3.14);
 
 	CDenseFeatures<double>* features = new CDenseFeatures<double>(SGMatrix<double>(matrix,dim,N));
 	SG_REF(features);

diff --git a/examples/undocumented/libshogun/converter_kernellocaltangentspacealignment.cpp b/examples/undocumented/libshogun/converter_kernellocaltangentspacealignment.cpp
@@ -12,6 +12,7 @@
 #include <shogun/features/DenseFeatures.h>
 #include <shogun/converter/KernelLocalTangentSpaceAlignment.h>
 #include <shogun/kernel/LinearKernel.h>
+#include <shogun/mathematics/Math.h>
 
 using namespace shogun;
 
@@ -23,7 +24,7 @@ int main(int argc, char** argv)
 	int dim = 3;
 	float64_t* matrix = new double[N*dim];
 	for (int i=0; i<N*dim; i++)
-		matrix[i] = i;
+		matrix[i] = CMath::sin((i/float64_t(N*dim))*3.14);
 
 	CDenseFeatures<double>* features = new CDenseFeatures<double>(SGMatrix<double>(matrix,dim,N));
 	SG_REF(features);

diff --git a/examples/undocumented/libshogun/converter_laplacianeigenmaps.cpp b/examples/undocumented/libshogun/converter_laplacianeigenmaps.cpp
@@ -11,6 +11,7 @@
 #include <shogun/base/init.h>
 #include <shogun/features/DenseFeatures.h>
 #include <shogun/converter/LaplacianEigenmaps.h>
+#include <shogun/mathematics/Math.h>
 
 using namespace shogun;
 
@@ -22,7 +23,7 @@ int main(int argc, char** argv)
 	int dim = 3;
 	float64_t* matrix = new double[N*dim];
 	for (int i=0; i<N*dim; i++)
-		matrix[i] = i;
+		matrix[i] = CMath::sin((i/float64_t(N*dim))*3.14);
 
 	CDenseFeatures<double>* features = new CDenseFeatures<double>(SGMatrix<double>(matrix,dim,N));
 	SG_REF(features);

diff --git a/examples/undocumented/libshogun/converter_linearlocaltangentspacealignment.cpp b/examples/undocumented/libshogun/converter_linearlocaltangentspacealignment.cpp
@@ -11,6 +11,7 @@
 #include <shogun/base/init.h>
 #include <shogun/features/DenseFeatures.h>
 #include <shogun/converter/LinearLocalTangentSpaceAlignment.h>
+#include <shogun/mathematics/Math.h>
 
 using namespace shogun;
 
@@ -22,7 +23,7 @@ int main(int argc, char** argv)
 	int dim = 3;
 	float64_t* matrix = new double[N*dim];
 	for (int i=0; i<N*dim; i++)
-		matrix[i] = i;
+		matrix[i] = CMath::sin((i/float64_t(N*dim))*3.14);
 
 	CDenseFeatures<double>* features = new CDenseFeatures<double>(SGMatrix<double>(matrix,dim,N));
 	SG_REF(features);

diff --git a/examples/undocumented/libshogun/converter_locallylinearembedding.cpp b/examples/undocumented/libshogun/converter_locallylinearembedding.cpp
@@ -11,6 +11,7 @@
 #include <shogun/base/init.h>
 #include <shogun/features/DenseFeatures.h>
 #include <shogun/converter/LocallyLinearEmbedding.h>
+#include <shogun/mathematics/Math.h>
 
 using namespace shogun;
 
@@ -22,7 +23,7 @@ int main(int argc, char** argv)
 	int dim = 3;
 	float64_t* matrix = new double[N*dim];
 	for (int i=0; i<N*dim; i++)
-		matrix[i] = i;
+		matrix[i] = CMath::sin((i/float64_t(N*dim))*3.14);
 
 	CDenseFeatures<double>* features = new CDenseFeatures<double>(SGMatrix<double>(matrix,dim,N));
 	SG_REF(features);

diff --git a/examples/undocumented/libshogun/converter_localtangentspacealignment.cpp b/examples/undocumented/libshogun/converter_localtangentspacealignment.cpp
@@ -11,6 +11,7 @@
 #include <shogun/base/init.h>
 #include <shogun/features/DenseFeatures.h>
 #include <shogun/converter/LocalTangentSpaceAlignment.h>
+#include <shogun/mathematics/Math.h>
 
 using namespace shogun;
 
@@ -22,7 +23,7 @@ int main(int argc, char** argv)
 	int dim = 3;
 	float64_t* matrix = new double[N*dim];
 	for (int i=0; i<N*dim; i++)
-		matrix[i] = i;
+		matrix[i] = CMath::sin((i/float64_t(N*dim))*3.14);
 
 	CDenseFeatures<double>* features = new CDenseFeatures<double>(SGMatrix<double>(matrix,dim,N));
 	SG_REF(features);

diff --git a/examples/undocumented/libshogun/converter_multidimensionalscaling.cpp b/examples/undocumented/libshogun/converter_multidimensionalscaling.cpp
@@ -11,6 +11,7 @@
 #include <shogun/base/init.h>
 #include <shogun/features/DenseFeatures.h>
 #include <shogun/converter/MultidimensionalScaling.h>
+#include <shogun/mathematics/Math.h>
 
 using namespace shogun;
 
@@ -22,7 +23,7 @@ int main(int argc, char** argv)
 	int dim = 3;
 	float64_t* matrix = new double[N*dim];
 	for (int i=0; i<N*dim; i++)
-		matrix[i] = i;
+		matrix[i] = CMath::sin((i/float64_t(N*dim))*3.14);
 
 	CDenseFeatures<double>* features = new CDenseFeatures<double>(SGMatrix<double>(matrix,dim,N));
 	SG_REF(features);

diff --git a/examples/undocumented/libshogun/converter_neighborhoodpreservingembedding.cpp b/examples/undocumented/libshogun/converter_neighborhoodpreservingembedding.cpp
@@ -23,7 +23,7 @@ int main(int argc, char** argv)
 	int dim = 3;
 	float64_t* matrix = new double[N*dim];
 	for (int i=0; i<N*dim; i++)
-		matrix[i] = CMath::random(1,100);
+		matrix[i] = CMath::sin((i/float64_t(N*dim))*3.14);
 
 	CDenseFeatures<double>* features = new CDenseFeatures<double>(SGMatrix<double>(matrix,dim,N));
 	SG_REF(features);

diff --git a/examples/undocumented/libshogun/converter_stochasticproximityembedding.cpp b/examples/undocumented/libshogun/converter_stochasticproximityembedding.cpp
@@ -11,6 +11,7 @@
 #include <shogun/base/init.h>
 #include <shogun/features/DenseFeatures.h>
 #include <shogun/converter/StochasticProximityEmbedding.h>
+#include <shogun/mathematics/Math.h>
 
 using namespace shogun;
 
@@ -24,7 +25,7 @@ int main()
 	// Generate toy data
 	SGMatrix< float64_t > matrix(dim, N);
 	for (int i=0; i<N*dim; i++)
-		matrix[i] = i;
+		matrix[i] = CMath::sin((i/float64_t(N*dim))*3.14);
 
 	CDenseFeatures< float64_t >* features = new CDenseFeatures<float64_t>(matrix);
 	SG_REF(features);