micmn

[ 72%] Building CXX object tests/unit/CMakeFiles/shogun-unit-test.dir/StanMath/StanPerceptronTest_unittest.cc.o
In file included from /home/mic/Workspace/shogun/build/StanMath/src/StanMath/stan/math/rev/core/matrix_vari.hpp:4:0,
                 from /home/mic/Workspace/shogun/build/StanMath/src/StanMath/stan/math/rev/core.hpp:14,
                 from /home/mic/Workspace/shogun/build/StanMath/src/StanMath/stan/math/rev/mat.hpp:4,
                 from /home/mic/Workspace/shogun/build/StanMath/src/StanMath/stan/math.hpp:4,
                 from /home/mic/Workspace/shogun/tests/unit/StanMath/StanPerceptronTest_unittest.cc:7:
/home/mic/Workspace/shogun/build/StanMath/src/StanMath/stan/math/rev/mat/fun/Eigen_NumTraits.hpp:297:54: error: wrong number of template arguments (6, should be at least 8)
                                          ConjugateRhs> {
                                                      ^
In file included from /usr/include/eigen3/Eigen/Core:358:0,

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micmn

#include <shogun/base/init.h>

#include <shogun/lib/config.h>
#include <shogun/features/DenseFeatures.h>
#include <shogun/io/SGIO.h>
#include <shogun/base/init.h>
#include <shogun/features/DenseFeatures.h>
#include <shogun/evaluation/StratifiedCrossValidationSplitting.h>
#include <shogun/labels/MulticlassLabels.h>
#include <shogun/multiclass/KNN.h>

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class DotIterator {
	// index iterator + dot operations
	class iterator {
		public:
		iterator(CDotFeatures* features, index_t idx=0) : m_features(features), m_idx(idx) { SG_REF(m_features); }

		iterator(const iterator &orig) : m_features(orig.m_features), m_idx(orig.m_idx) { SG_REF(m_features); }

		~iterator() { SG_UNREF(m_features); }

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###########
xval: views
###########
omp parallel for
for i in num_subsets:
  machine=m_machine->clone()
  
  train_subset = get_inverse_subset(i)
  features = m_features->view(train_subset)
  labels->add_subset(train_subset)

micmn

Binary LDA failures: iris is multiclass, others fail due to collinear data

	scikit	shogun(auto)	shogun(fld)	shogun(jacobi-svd)	shogun(bdc-svd)	shogun(mclda-bdc-svd)	shogun(mclda-jacobi-svd)
iris	0.004108	-2	-2	-2	-2	0.000293	0.000276
oilspill	0.009525	-2	-2	-2	0.038747	-2	-2
scene	0.113018	0.030416	0.038125	2.024158	0.291025	0.232691	0.805682
webpage	1.562739	-2	-2	-2	-2	-2	-2
isolet	0.831173	0.298803	0.349795	24.118399	3.233675	1.729215	10.004455
mammography	0.007220	0.005685	0.003396	0.004938	0.004847	0.003063	0.003307

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int main(int argc, char** argv)
{
	::testing::InitGoogleTest(&argc, argv);
	::testing::InitGoogleMock(&argc, argv);

	if (argc > 1 && !strcmp(argv[1], "--only-on-failure"))
	{
		testing::TestEventListeners& listeners =
			testing::UnitTest::GetInstance()->listeners();

micmn

Runtime

dataset	scikit	shogun
iris	0.00s	0.00s
ecoli	0.00s	0.00s
oilspill	0.01s	failure
scene	0.11s	0.77s
sickEuthyroid	0.01s	failure
abalone19	0.00s	failure

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'''
  @file lda.py
  @author Michele Mazzoni

  LDA Classifier with shogun.
'''

import os
import sys
import inspect

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#0  0x00007f28cbd96d22 in ?? () from /usr/lib/x86_64-linux-gnu/libgomp.so.1
#1  0x00007f28cbd95889 in ?? () from /usr/lib/x86_64-linux-gnu/libgomp.so.1
#2  0x00007f28cd2a88d8 in void Eigen::internal::parallelize_gemm<true, Eigen::internal::gemm_functor<double, long, Eigen::internal::general_matrix_matrix_product<long, double, 0, false, double, 0, false, 0>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >, long>(Eigen::internal::gemm_functor<double, long, Eigen::internal::general_matrix_matrix_product<long, double, 0, false, double, 0, false, 0>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> > const&, long, long, bool) () from /usr/local/lib/libshogun.so.18
#3  0x00007f28cde10d37 in shogun::CMCLDA::t