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examples/undocumented/libshogun/regression_libsvr.cpp
examples/undocumented/libshogun/modelselection_grid_search_linear.cpp
examples/undocumented/libshogun/parameter_iterate_float64.cpp
examples/undocumented/libshogun/regression_gaussian_process_fitc.cpp
examples/undocumented/libshogun/features_subset_labels.cpp
examples/undocumented/libshogun/clustering_kmeans.cpp
examples/undocumented/libshogun/converter_hessianlocallylinearembedding.cpp
examples/undocumented/libshogun/serialization_basic_tests.cpp
examples/undocumented/libshogun/classifier_lda.cpp
examples/undocumented/libshogun/converter_laplacianeigenmaps.cpp

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Packages to install in order to build Shogun on Ubuntu 14.04 LTS

sudo apt-get install cmake build-essential swig2.0 python-dev libeigen3-dev libatlas3-base libblas-dev liblapack-dev ctags

Then

pip install numpy ply

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Installing Shogun into a Python virtualenv

This uses ccmake. Vanilla cmake can also be used

• Activate your virtualenv: source /path/to/env/bin/activate

• Run ccmake configure as usual:

cd path/to/shogun
mkdir build

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CSVFile f_feats_train("../../data/classifier_4class_2d_linear_features_train.dat")
CSVFile f_feats_test("../../data/classifier_4class_2d_linear_features_test.dat")
CSVFile f_labels_train("../../data/classifier_4class_2d_linear_labels_train.dat")
CSVFile f_labels_test("../../data/classifier_4class_2d_linear_labels_test.dat")

#![create_features]
RealFeatures features_train(f_feats_train)
RealFeatures features_test(f_feats_test)
MulticlassLabels labels_train(f_labels_train)
MulticlassLabels labels_test(f_labels_test)

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