put_get.sg

KNN knn()
knn.put("m_k", 2)

Kernel k = kernel("GaussianKernel")
k.put("log_width", 2.1)
k.put("log_width", 2.0)
real log_width = k.get_real("log_width")

RealVector vector(2)
vector[0] = 0.0
vector[1] = 0.1

RegressionLabels labels()
labels.put("labels", vector)
RealVector vector2 = labels.get_real_vector("labels")
labels.put("labels", vector2)

RealMatrix matrix(2,2)
matrix[0,0] = 0.0
matrix[0,1] = 0.1
matrix[1,0] = 0.2
matrix[1,1] = 0.4

RealFeatures features()
features.put("feature_matrix", matrix)
RealMatrix matrix2 = features.get_real_matrix("feature_matrix")
features.put("feature_matrix", matrix2)

EuclideanDistance distance()
knn.put("distance", distance)

SGObject distance2 = knn.get("distance")
knn.put("distance", distance2)

LibSVM svm()
svm.put("kernel", k)
SGObject k2 = svm.get("kernel")
svm.put("kernel", k2)