rm -rf build find sklearn -name "*.pyc" | xargs rm -f find sklearn -name "*.so" | xargs rm -f find sklearn -name "*.pyd" | xargs rm -f rm -f tags python setup.py build_ext -i Partial import of sklearn during the build process. blas_opt_info: blas_mkl_info: libraries mkl,vml,guide not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/i386-linux-gnu'] NOT AVAILABLE atlas_blas_threads_info: Setting PTATLAS=ATLAS libraries ptf77blas,ptcblas,atlas not found in ['/usr/local/lib', '/usr/lib/sse2', '/usr/lib', '/usr/lib/i386-linux-gnu/sse2', '/usr/lib/i386-linux-gnu'] NOT AVAILABLE atlas_blas_info: libraries f77blas,cblas,atlas not found in ['/usr/local/lib', '/usr/lib/sse2', '/usr/lib', '/usr/lib/i386-linux-gnu/sse2', '/usr/lib/i386-linux-gnu'] NOT AVAILABLE /usr/local/lib/python2.7/dist-packages/numpy/distutils/system_info.py:1494: UserWarning: Atlas (http://math-atlas.sourceforge.net/) libraries not found. Directories to search for the libraries can be specified in the numpy/distutils/site.cfg file (section [atlas]) or by setting the ATLAS environment variable. warnings.warn(AtlasNotFoundError.__doc__) blas_info: FOUND: libraries = ['blas'] library_dirs = ['/usr/lib'] language = f77 FOUND: libraries = ['blas'] library_dirs = ['/usr/lib'] define_macros = [('NO_ATLAS_INFO', 1)] language = f77 sklearn/setup.py:70: UserWarning: Blas (http://www.netlib.org/blas/) libraries not found. Directories to search for the libraries can be specified in the numpy/distutils/site.cfg file (section [blas]) or by setting the BLAS environment variable. warnings.warn(BlasNotFoundError.__doc__) running build_ext running build_src build_src building library "libsvm-skl" sources building library "cblas" sources building extension "sklearn.__check_build._check_build" sources building extension "sklearn.svm.libsvm" sources building extension "sklearn.svm.liblinear" sources building extension "sklearn.svm.libsvm_sparse" sources building extension "sklearn.datasets._svmlight_format" sources building extension "sklearn.feature_extraction._hashing" sources building extension "sklearn.cluster._hierarchical" sources building extension "sklearn.cluster._k_means" sources building extension "sklearn.ensemble._gradient_boosting" sources building extension "sklearn.utils.sparsetools._csgraph" sources building extension "sklearn.utils.mst._min_spanning_tree" sources building extension "sklearn.utils.mst._graph_tools" sources building extension "sklearn.utils.arraybuilder" sources building extension "sklearn.utils.sparsefuncs" sources building extension "sklearn.utils.arrayfuncs" sources building extension "sklearn.utils.murmurhash" sources building extension "sklearn.utils.lgamma" sources building extension "sklearn.utils.graph_shortest_path" sources building extension "sklearn.utils.seq_dataset" sources building extension "sklearn.utils.weight_vector" sources building extension "sklearn.utils.random" sources building extension "sklearn.neighbors.ball_tree" sources building extension "sklearn.neighbors.kd_tree" sources building extension "sklearn.neighbors.dist_metrics" sources building extension "sklearn.neighbors.typedefs" sources building extension "sklearn.metrics.pairwise_fast" sources building extension "sklearn.tree._tree" sources building extension "sklearn.metrics/cluster.expected_mutual_info_fast" sources building extension "sklearn._hmmc" sources building extension "sklearn._isotonic" sources building extension "sklearn.linear_model.cd_fast" sources building extension "sklearn.linear_model.sgd_fast" sources building extension "sklearn.utils.sparsetools._csgraph" sources building extension "sklearn.utils.mst._min_spanning_tree" sources building extension "sklearn.utils.mst._graph_tools" sources building extension "sklearn.utils.arraybuilder" sources building extension "sklearn.utils.sparsefuncs" sources building extension "sklearn.utils.arrayfuncs" sources building extension "sklearn.utils.murmurhash" sources building extension "sklearn.utils.lgamma" sources building extension "sklearn.utils.graph_shortest_path" sources building extension "sklearn.utils.seq_dataset" sources building extension "sklearn.utils.weight_vector" sources building extension "sklearn.utils.random" sources building data_files sources build_src: building npy-pkg config files customize UnixCCompiler customize UnixCCompiler using build_clib building 'libsvm-skl' library compiling C++ sources C compiler: g++ -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -fPIC creating build creating build/temp.linux-i686-2.7 creating build/temp.linux-i686-2.7/sklearn creating build/temp.linux-i686-2.7/sklearn/svm creating build/temp.linux-i686-2.7/sklearn/svm/src creating build/temp.linux-i686-2.7/sklearn/svm/src/libsvm compile options: '-I/usr/local/lib/python2.7/dist-packages/numpy/core/include -c' g++: sklearn/svm/src/libsvm/libsvm_template.cpp ar: adding 1 object files to build/temp.linux-i686-2.7/liblibsvm-skl.a building 'cblas' library compiling C sources C compiler: gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -fPIC creating build/temp.linux-i686-2.7/sklearn/src creating build/temp.linux-i686-2.7/sklearn/src/cblas compile options: '-I/usr/local/lib/python2.7/dist-packages/numpy/core/include -c' gcc: sklearn/src/cblas/ATL_drefcopy.c gcc: sklearn/src/cblas/cblas_dcopy.c sklearn/src/cblas/cblas_dcopy.c: In function ‘cblas_dcopy’: sklearn/src/cblas/cblas_dcopy.c:46:10: warning: implicit declaration of function ‘ATL_drefcopy’ [-Wimplicit-function-declaration] sklearn/src/cblas/cblas_dcopy.c: At top level: sklearn/src/cblas/atlas_misc.h:393:12: warning: ‘ATL_AlignOffset’ defined but not used [-Wunused-function] sklearn/src/cblas/atlas_misc.h:409:14: warning: ‘ATL_Align2Ptr’ defined but not used [-Wunused-function] gcc: sklearn/src/cblas/cblas_strsv.c sklearn/src/cblas/cblas_strsv.c: In function ‘cblas_strsv’: sklearn/src/cblas/cblas_strsv.c:73:7: warning: implicit declaration of function ‘cblas_xerbla’ [-Wimplicit-function-declaration] sklearn/src/cblas/cblas_strsv.c: At top level: sklearn/src/cblas/atlas_misc.h:393:12: warning: ‘ATL_AlignOffset’ defined but not used [-Wunused-function] sklearn/src/cblas/atlas_misc.h:409:14: warning: ‘ATL_Align2Ptr’ defined but not used [-Wunused-function] gcc: sklearn/src/cblas/cblas_ddot.c gcc: sklearn/src/cblas/ATL_drefrotg.c gcc: sklearn/src/cblas/cblas_errprn.c gcc: sklearn/src/cblas/ATL_srefrot.c gcc: sklearn/src/cblas/ATL_dreftrsvUTN.c gcc: sklearn/src/cblas/ATL_dreftrsvUTU.c gcc: sklearn/src/cblas/ATL_dreftrsvUNU.c gcc: sklearn/src/cblas/ATL_sreftrsvUTU.c gcc: sklearn/src/cblas/cblas_drotg.c sklearn/src/cblas/atlas_misc.h:393:12: warning: ‘ATL_AlignOffset’ defined but not used [-Wunused-function] sklearn/src/cblas/atlas_misc.h:409:14: warning: ‘ATL_Align2Ptr’ defined but not used [-Wunused-function] gcc: sklearn/src/cblas/ATL_srefcopy.c gcc: sklearn/src/cblas/cblas_srot.c sklearn/src/cblas/atlas_misc.h:393:12: warning: ‘ATL_AlignOffset’ defined but not used [-Wunused-function] sklearn/src/cblas/atlas_misc.h:409:14: warning: ‘ATL_Align2Ptr’ defined but not used [-Wunused-function] gcc: sklearn/src/cblas/ATL_drefrot.c gcc: sklearn/src/cblas/cblas_xerbla.c sklearn/src/cblas/cblas_xerbla.c: In function ‘cblas_xerbla’: sklearn/src/cblas/cblas_xerbla.c:52:4: warning: implicit declaration of function ‘exit’ [-Wimplicit-function-declaration] sklearn/src/cblas/cblas_xerbla.c:52:4: warning: incompatible implicit declaration of built-in function ‘exit’ [enabled by default] gcc: sklearn/src/cblas/ATL_sreftrsvLTN.c gcc: sklearn/src/cblas/ATL_sreftrsvUNN.c gcc: sklearn/src/cblas/ATL_sreftrsvLNN.c gcc: sklearn/src/cblas/cblas_drot.c sklearn/src/cblas/atlas_misc.h:393:12: warning: ‘ATL_AlignOffset’ defined but not used [-Wunused-function] sklearn/src/cblas/atlas_misc.h:409:14: warning: ‘ATL_Align2Ptr’ defined but not used [-Wunused-function] gcc: sklearn/src/cblas/cblas_dger.c sklearn/src/cblas/cblas_dger.c: In function ‘cblas_dger’: sklearn/src/cblas/cblas_dger.c:73:7: warning: implicit declaration of function ‘cblas_xerbla’ [-Wimplicit-function-declaration] sklearn/src/cblas/cblas_dger.c: At top level: sklearn/src/cblas/atlas_misc.h:393:12: warning: ‘ATL_AlignOffset’ defined but not used [-Wunused-function] sklearn/src/cblas/atlas_misc.h:409:14: warning: ‘ATL_Align2Ptr’ defined but not used [-Wunused-function] gcc: sklearn/src/cblas/ATL_dreftrsv.c gcc: sklearn/src/cblas/cblas_dtrsv.c sklearn/src/cblas/cblas_dtrsv.c: In function ‘cblas_dtrsv’: sklearn/src/cblas/cblas_dtrsv.c:73:7: warning: implicit declaration of function ‘cblas_xerbla’ [-Wimplicit-function-declaration] sklearn/src/cblas/cblas_dtrsv.c: At top level: sklearn/src/cblas/atlas_misc.h:393:12: warning: ‘ATL_AlignOffset’ defined but not used [-Wunused-function] sklearn/src/cblas/atlas_misc.h:409:14: warning: ‘ATL_Align2Ptr’ defined but not used [-Wunused-function] gcc: sklearn/src/cblas/ATL_drefgemvN.c gcc: sklearn/src/cblas/ATL_dreftrsvLTN.c gcc: sklearn/src/cblas/ATL_sreftrsvLTU.c gcc: sklearn/src/cblas/cblas_dgemv.c sklearn/src/cblas/cblas_dgemv.c: In function ‘cblas_dgemv’: sklearn/src/cblas/cblas_dgemv.c:79:7: warning: implicit declaration of function ‘cblas_xerbla’ [-Wimplicit-function-declaration] sklearn/src/cblas/cblas_dgemv.c: At top level: sklearn/src/cblas/atlas_misc.h:393:12: warning: ‘ATL_AlignOffset’ defined but not used [-Wunused-function] sklearn/src/cblas/atlas_misc.h:409:14: warning: ‘ATL_Align2Ptr’ defined but not used [-Wunused-function] gcc: sklearn/src/cblas/cblas_daxpy.c gcc: sklearn/src/cblas/ATL_sreftrsv.c gcc: sklearn/src/cblas/ATL_dreftrsvLNU.c gcc: sklearn/src/cblas/ATL_sreftrsvUTN.c gcc: sklearn/src/cblas/ATL_sreftrsvLNU.c gcc: sklearn/src/cblas/cblas_dnrm2.c gcc: sklearn/src/cblas/ATL_dreftrsvLNN.c gcc: sklearn/src/cblas/ATL_sreftrsvUNU.c gcc: sklearn/src/cblas/cblas_scopy.c sklearn/src/cblas/cblas_scopy.c: In function ‘cblas_scopy’: sklearn/src/cblas/cblas_scopy.c:46:10: warning: implicit declaration of function ‘ATL_srefcopy’ [-Wimplicit-function-declaration] sklearn/src/cblas/cblas_scopy.c: At top level: sklearn/src/cblas/atlas_misc.h:393:12: warning: ‘ATL_AlignOffset’ defined but not used [-Wunused-function] sklearn/src/cblas/atlas_misc.h:409:14: warning: ‘ATL_Align2Ptr’ defined but not used [-Wunused-function] gcc: sklearn/src/cblas/ATL_drefgemv.c gcc: sklearn/src/cblas/ATL_dreftrsvLTU.c gcc: sklearn/src/cblas/ATL_drefgemvT.c gcc: sklearn/src/cblas/ATL_srefrotg.c gcc: sklearn/src/cblas/cblas_srotg.c sklearn/src/cblas/atlas_misc.h:393:12: warning: ‘ATL_AlignOffset’ defined but not used [-Wunused-function] sklearn/src/cblas/atlas_misc.h:409:14: warning: ‘ATL_Align2Ptr’ defined but not used [-Wunused-function] gcc: sklearn/src/cblas/ATL_dreftrsvUNN.c gcc: sklearn/src/cblas/cblas_dscal.c gcc: sklearn/src/cblas/ATL_drefger.c ar: adding 44 object files to build/temp.linux-i686-2.7/libcblas.a customize UnixCCompiler customize UnixCCompiler using build_ext resetting extension 'sklearn.svm.liblinear' language from 'f77' to 'c++'. customize UnixCCompiler customize UnixCCompiler using build_ext customize Gnu95FCompiler Found executable /usr/bin/gfortran customize Gnu95FCompiler customize Gnu95FCompiler using build_ext building 'sklearn.__check_build._check_build' extension compiling C sources C compiler: gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC creating build/temp.linux-i686-2.7/sklearn/__check_build compile options: '-I/usr/local/lib/python2.7/dist-packages/numpy/core/include -I/usr/local/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' gcc: sklearn/__check_build/_check_build.c gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro build/temp.linux-i686-2.7/sklearn/__check_build/_check_build.o -Lbuild/temp.linux-i686-2.7 -o sklearn/__check_build/_check_build.so building 'sklearn.svm.libsvm' extension compiling C sources C compiler: gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC compile options: '-I/usr/local/lib/python2.7/dist-packages/numpy/core/include -Isklearn/svm/src/libsvm -I/usr/local/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' gcc: sklearn/svm/libsvm.c In file included from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0, from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17, from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:15, from sklearn/svm/libsvm.c:314: /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:236:1: warning: ‘_import_umath’ defined but not used [-Wunused-function] g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro build/temp.linux-i686-2.7/sklearn/svm/libsvm.o -Lbuild/temp.linux-i686-2.7 -llibsvm-skl -o sklearn/svm/libsvm.so building 'sklearn.svm.liblinear' extension compiling C sources C compiler: gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC compile options: '-DNO_ATLAS_INFO=1 -Isklearn/svm/src -I/usr/local/lib/python2.7/dist-packages/numpy/core/include -I/usr/local/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' gcc: sklearn/svm/liblinear.c In file included from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0, from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17, from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:15, from sklearn/svm/liblinear.c:303: /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:236:1: warning: ‘_import_umath’ defined but not used [-Wunused-function] compiling C++ sources C compiler: g++ -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -fPIC creating build/temp.linux-i686-2.7/sklearn/svm/src/liblinear compile options: '-DNO_ATLAS_INFO=1 -Isklearn/svm/src -I/usr/local/lib/python2.7/dist-packages/numpy/core/include -I/usr/local/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' g++: sklearn/svm/src/liblinear/tron.cpp g++: sklearn/svm/src/liblinear/linear.cpp sklearn/svm/src/liblinear/linear.cpp: In function ‘void solve_l2r_l1l2_svr(const problem*, double*, const parameter*, int)’: sklearn/svm/src/liblinear/linear.cpp:1173:3: warning: ‘Gnorm1_init’ may be used uninitialized in this function [-Wuninitialized] sklearn/svm/src/liblinear/linear.cpp: In function ‘void train_one(const problem*, const parameter*, double*, double, double)’: sklearn/svm/src/liblinear/linear.cpp:1630:3: warning: ‘Gnorm1_init’ may be used uninitialized in this function [-Wuninitialized] sklearn/svm/src/liblinear/linear.cpp:1426:9: note: ‘Gnorm1_init’ was declared here g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro build/temp.linux-i686-2.7/sklearn/svm/liblinear.o build/temp.linux-i686-2.7/sklearn/svm/src/liblinear/tron.o build/temp.linux-i686-2.7/sklearn/svm/src/liblinear/linear.o -Lbuild/temp.linux-i686-2.7 -lblas -o sklearn/svm/liblinear.so building 'sklearn.svm.libsvm_sparse' extension compiling C sources C compiler: gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC compile options: '-I/usr/local/lib/python2.7/dist-packages/numpy/core/include -Isklearn/svm/src/libsvm -I/usr/local/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' gcc: sklearn/svm/libsvm_sparse.c In file included from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0, from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17, from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:15, from sklearn/svm/libsvm_sparse.c:257: /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] sklearn/svm/libsvm_sparse.c: In function ‘__pyx_pf_7sklearn_3svm_13libsvm_sparse_libsvm_sparse_train’: sklearn/svm/libsvm_sparse.c:2007:3: warning: passing argument 2 of ‘copy_support’ from incompatible pointer type [enabled by default] sklearn/svm/src/libsvm/libsvm_sparse_helper.c:308:6: note: expected ‘struct svm_model *’ but argument is of type ‘struct svm_csr_model *’ sklearn/svm/libsvm_sparse.c: At top level: /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:236:1: warning: ‘_import_umath’ defined but not used [-Wunused-function] g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro build/temp.linux-i686-2.7/sklearn/svm/libsvm_sparse.o -Lbuild/temp.linux-i686-2.7 -llibsvm-skl -o sklearn/svm/libsvm_sparse.so building 'sklearn.datasets._svmlight_format' extension compiling C sources C compiler: gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC creating build/temp.linux-i686-2.7/sklearn/datasets compile options: '-I/usr/local/lib/python2.7/dist-packages/numpy/core/include -I/usr/local/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' gcc: sklearn/datasets/_svmlight_format.c In file included from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0, from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17, from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:15, from sklearn/datasets/_svmlight_format.c:257: /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:236:1: warning: ‘_import_umath’ defined but not used [-Wunused-function] gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro build/temp.linux-i686-2.7/sklearn/datasets/_svmlight_format.o -Lbuild/temp.linux-i686-2.7 -o sklearn/datasets/_svmlight_format.so building 'sklearn.feature_extraction._hashing' extension compiling C sources C compiler: gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC creating build/temp.linux-i686-2.7/sklearn/feature_extraction compile options: '-I/usr/local/lib/python2.7/dist-packages/numpy/core/include -I/usr/local/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' gcc: sklearn/feature_extraction/_hashing.c In file included from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0, from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17, from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:15, from sklearn/feature_extraction/_hashing.c:258: /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:236:1: warning: ‘_import_umath’ defined but not used [-Wunused-function] gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro build/temp.linux-i686-2.7/sklearn/feature_extraction/_hashing.o -Lbuild/temp.linux-i686-2.7 -lm -o sklearn/feature_extraction/_hashing.so building 'sklearn.cluster._hierarchical' extension compiling C sources C compiler: gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC creating build/temp.linux-i686-2.7/sklearn/cluster compile options: '-I/usr/local/lib/python2.7/dist-packages/numpy/core/include -I/usr/local/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' gcc: sklearn/cluster/_hierarchical.c In file included from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0, from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17, from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:15, from sklearn/cluster/_hierarchical.c:256: /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:236:1: warning: ‘_import_umath’ defined but not used [-Wunused-function] gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro build/temp.linux-i686-2.7/sklearn/cluster/_hierarchical.o -Lbuild/temp.linux-i686-2.7 -lm -o sklearn/cluster/_hierarchical.so building 'sklearn.cluster._k_means' extension compiling C sources C compiler: gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC compile options: '-DNO_ATLAS_INFO=1 -Isklearn/src/cblas -I/usr/local/lib/python2.7/dist-packages/numpy/core/include -I/usr/local/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' gcc: sklearn/cluster/_k_means.c In file included from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0, from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17, from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:15, from sklearn/cluster/_k_means.c:315: /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:236:1: warning: ‘_import_umath’ defined but not used [-Wunused-function] /usr/bin/gfortran -Wall -Wall -shared build/temp.linux-i686-2.7/sklearn/cluster/_k_means.o -L/usr/lib -Lbuild/temp.linux-i686-2.7 -lcblas -lm -lgfortran -o sklearn/cluster/_k_means.so building 'sklearn.ensemble._gradient_boosting' extension compiling C sources C compiler: gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC creating build/temp.linux-i686-2.7/sklearn/ensemble compile options: '-I/usr/local/lib/python2.7/dist-packages/numpy/core/include -I/usr/local/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' gcc: sklearn/ensemble/_gradient_boosting.c In file included from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0, from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17, from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:15, from sklearn/ensemble/_gradient_boosting.c:256: /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:236:1: warning: ‘_import_umath’ defined but not used [-Wunused-function] gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro build/temp.linux-i686-2.7/sklearn/ensemble/_gradient_boosting.o -Lbuild/temp.linux-i686-2.7 -o sklearn/ensemble/_gradient_boosting.so building 'sklearn.utils.sparsetools._csgraph' extension compiling C++ sources C compiler: g++ -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -fPIC creating build/temp.linux-i686-2.7/sklearn/utils creating build/temp.linux-i686-2.7/sklearn/utils/sparsetools compile options: '-D__STDC_FORMAT_MACROS=1 -I/usr/local/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' g++: sklearn/utils/sparsetools/csgraph_wrap.cxx In file included from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0, from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17, from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:15, from sklearn/utils/sparsetools/csgraph_wrap.cxx:2824: /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro build/temp.linux-i686-2.7/sklearn/utils/sparsetools/csgraph_wrap.o -Lbuild/temp.linux-i686-2.7 -o sklearn/utils/sparsetools/_csgraph.so building 'sklearn.utils.mst._min_spanning_tree' extension compiling C sources C compiler: gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC creating build/temp.linux-i686-2.7/sklearn/utils/mst compile options: '-I/usr/local/lib/python2.7/dist-packages/numpy/core/include -I/usr/local/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' gcc: sklearn/utils/mst/_min_spanning_tree.c In file included from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0, from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17, from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:15, from sklearn/utils/mst/_min_spanning_tree.c:256: /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1594:1: warning: ‘_import_array’ defined but not used [-Wunused-function] /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:236:1: warning: ‘_import_umath’ defined but not used [-Wunused-function] gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro build/temp.linux-i686-2.7/sklearn/utils/mst/_min_spanning_tree.o -Lbuild/temp.linux-i686-2.7 -o sklearn/utils/mst/_min_spanning_tree.so building 'sklearn.utils.mst._graph_tools' extension compiling C sources C compiler: gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC compile options: '-I/usr/local/lib/python2.7/dist-packages/numpy/core/include -I/usr/local/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' gcc: sklearn/utils/mst/_graph_tools.c In file included from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0, from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17, from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:15, from sklearn/utils/mst/_graph_tools.c:275: /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] sklearn/utils/mst/_graph_tools.c: In function ‘__Pyx_GetBuffer’: sklearn/utils/mst/_graph_tools.c:8680:15: warning: unused variable ‘getbuffer_cobj’ [-Wunused-variable] sklearn/utils/mst/_graph_tools.c: In function ‘__Pyx_ReleaseBuffer’: sklearn/utils/mst/_graph_tools.c:8720:15: warning: unused variable ‘releasebuffer_cobj’ [-Wunused-variable] sklearn/utils/mst/_graph_tools.c: At top level: /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1594:1: warning: ‘_import_array’ defined but not used [-Wunused-function] /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:236:1: warning: ‘_import_umath’ defined but not used [-Wunused-function] gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro build/temp.linux-i686-2.7/sklearn/utils/mst/_graph_tools.o -Lbuild/temp.linux-i686-2.7 -o sklearn/utils/mst/_graph_tools.so building 'sklearn.utils.arraybuilder' extension compiling C sources C compiler: gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC compile options: '-I/usr/local/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' gcc: sklearn/utils/arraybuilder.c In file included from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0, from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17, from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:15, from sklearn/utils/arraybuilder.c:256: /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:236:1: warning: ‘_import_umath’ defined but not used [-Wunused-function] gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro build/temp.linux-i686-2.7/sklearn/utils/arraybuilder.o -Lbuild/temp.linux-i686-2.7 -o sklearn/utils/arraybuilder.so building 'sklearn.utils.sparsefuncs' extension compiling C sources C compiler: gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC compile options: '-I/usr/local/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' gcc: sklearn/utils/sparsefuncs.c In file included from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0, from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17, from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:15, from sklearn/utils/sparsefuncs.c:314: /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:236:1: warning: ‘_import_umath’ defined but not used [-Wunused-function] gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro build/temp.linux-i686-2.7/sklearn/utils/sparsefuncs.o -Lbuild/temp.linux-i686-2.7 -lm -o sklearn/utils/sparsefuncs.so building 'sklearn.utils.arrayfuncs' extension compiling C sources C compiler: gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC compile options: '-DNO_ATLAS_INFO=1 -Isklearn/src/cblas -I/usr/local/lib/python2.7/dist-packages/numpy/core/include -I/usr/local/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' gcc: sklearn/utils/arrayfuncs.c In file included from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0, from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17, from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:15, from sklearn/utils/arrayfuncs.c:256: /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:236:1: warning: ‘_import_umath’ defined but not used [-Wunused-function] /usr/bin/gfortran -Wall -Wall -shared build/temp.linux-i686-2.7/sklearn/utils/arrayfuncs.o -L/usr/lib -Lbuild/temp.linux-i686-2.7 -lcblas -lm -lgfortran -o sklearn/utils/arrayfuncs.so building 'sklearn.utils.murmurhash' extension compiling C sources C compiler: gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC compile options: '-Isklearn/utils/src -I/usr/local/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' gcc: sklearn/utils/murmurhash.c In file included from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0, from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17, from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:15, from sklearn/utils/murmurhash.c:256: /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:236:1: warning: ‘_import_umath’ defined but not used [-Wunused-function] compiling C++ sources C compiler: g++ -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -fPIC creating build/temp.linux-i686-2.7/sklearn/utils/src compile options: '-Isklearn/utils/src -I/usr/local/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' g++: sklearn/utils/src/MurmurHash3.cpp g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro build/temp.linux-i686-2.7/sklearn/utils/murmurhash.o build/temp.linux-i686-2.7/sklearn/utils/src/MurmurHash3.o -Lbuild/temp.linux-i686-2.7 -o sklearn/utils/murmurhash.so building 'sklearn.utils.lgamma' extension compiling C sources C compiler: gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC compile options: '-Isklearn/utils/src -I/usr/local/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' gcc: sklearn/utils/src/gamma.c gcc: sklearn/utils/lgamma.c gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro build/temp.linux-i686-2.7/sklearn/utils/lgamma.o build/temp.linux-i686-2.7/sklearn/utils/src/gamma.o -Lbuild/temp.linux-i686-2.7 -lm -o sklearn/utils/lgamma.so building 'sklearn.utils.graph_shortest_path' extension compiling C sources C compiler: gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC compile options: '-I/usr/local/lib/python2.7/dist-packages/numpy/core/include -I/usr/local/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' gcc: sklearn/utils/graph_shortest_path.c In file included from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0, from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17, from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:15, from sklearn/utils/graph_shortest_path.c:256: /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:236:1: warning: ‘_import_umath’ defined but not used [-Wunused-function] gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro build/temp.linux-i686-2.7/sklearn/utils/graph_shortest_path.o -Lbuild/temp.linux-i686-2.7 -o sklearn/utils/graph_shortest_path.so building 'sklearn.utils.seq_dataset' extension compiling C sources C compiler: gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC compile options: '-I/usr/local/lib/python2.7/dist-packages/numpy/core/include -I/usr/local/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' gcc: sklearn/utils/seq_dataset.c In file included from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0, from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17, from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:15, from sklearn/utils/seq_dataset.c:256: /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:236:1: warning: ‘_import_umath’ defined but not used [-Wunused-function] gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro build/temp.linux-i686-2.7/sklearn/utils/seq_dataset.o -Lbuild/temp.linux-i686-2.7 -o sklearn/utils/seq_dataset.so building 'sklearn.utils.weight_vector' extension compiling C sources C compiler: gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC compile options: '-I/usr/local/lib/python2.7/dist-packages/numpy/core/include -I/usr/local/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' gcc: sklearn/utils/weight_vector.c In file included from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0, from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17, from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:15, from sklearn/utils/weight_vector.c:256: /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:236:1: warning: ‘_import_umath’ defined but not used [-Wunused-function] gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro build/temp.linux-i686-2.7/sklearn/utils/weight_vector.o -Lbuild/temp.linux-i686-2.7 -lm -o sklearn/utils/weight_vector.so building 'sklearn.utils.random' extension compiling C sources C compiler: gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC compile options: '-I/usr/local/lib/python2.7/dist-packages/numpy/core/include -I/usr/local/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' gcc: sklearn/utils/random.c In file included from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0, from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17, from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:15, from sklearn/utils/random.c:256: /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:236:1: warning: ‘_import_umath’ defined but not used [-Wunused-function] gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro build/temp.linux-i686-2.7/sklearn/utils/random.o -Lbuild/temp.linux-i686-2.7 -lm -o sklearn/utils/random.so building 'sklearn.neighbors.ball_tree' extension compiling C sources C compiler: gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC creating build/temp.linux-i686-2.7/sklearn/neighbors compile options: '-I/usr/local/lib/python2.7/dist-packages/numpy/core/include -I/usr/local/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' gcc: sklearn/neighbors/ball_tree.c In file included from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0, from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17, from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:15, from sklearn/neighbors/ball_tree.c:253: /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1594:1: warning: ‘_import_array’ defined but not used [-Wunused-function] /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:236:1: warning: ‘_import_umath’ defined but not used [-Wunused-function] gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro build/temp.linux-i686-2.7/sklearn/neighbors/ball_tree.o -Lbuild/temp.linux-i686-2.7 -lm -o sklearn/neighbors/ball_tree.so building 'sklearn.neighbors.kd_tree' extension compiling C sources C compiler: gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC compile options: '-I/usr/local/lib/python2.7/dist-packages/numpy/core/include -I/usr/local/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' gcc: sklearn/neighbors/kd_tree.c In file included from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0, from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17, from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:15, from sklearn/neighbors/kd_tree.c:253: /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1594:1: warning: ‘_import_array’ defined but not used [-Wunused-function] /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:236:1: warning: ‘_import_umath’ defined but not used [-Wunused-function] sklearn/neighbors/kd_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_7kd_tree_10BinaryTree__recursive_build’: sklearn/neighbors/kd_tree.c:17498:49: warning: ‘__pyx_v_j’ may be used uninitialized in this function [-Wuninitialized] gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro build/temp.linux-i686-2.7/sklearn/neighbors/kd_tree.o -Lbuild/temp.linux-i686-2.7 -lm -o sklearn/neighbors/kd_tree.so building 'sklearn.neighbors.dist_metrics' extension compiling C sources C compiler: gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC compile options: '-I/usr/local/lib/python2.7/dist-packages/numpy/core/include -I/usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy -I/usr/local/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' gcc: sklearn/neighbors/dist_metrics.c In file included from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0, from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17, from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:15, from sklearn/neighbors/dist_metrics.c:314: /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] sklearn/neighbors/dist_metrics.c: In function ‘__pyx_f_7sklearn_9neighbors_12dist_metrics_18SEuclideanDistance_dist’: sklearn/neighbors/dist_metrics.c:5430:94: warning: passing argument 1 of ‘__pyx_f_7sklearn_9neighbors_12dist_metrics_18SEuclideanDistance_rdist’ from incompatible pointer type [enabled by default] sklearn/neighbors/dist_metrics.c:5305:54: note: expected ‘struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_SEuclideanDistance *’ but argument is of type ‘struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *’ sklearn/neighbors/dist_metrics.c: In function ‘__pyx_f_7sklearn_9neighbors_12dist_metrics_17MinkowskiDistance_dist’: sklearn/neighbors/dist_metrics.c:6083:93: warning: passing argument 1 of ‘__pyx_f_7sklearn_9neighbors_12dist_metrics_17MinkowskiDistance_rdist’ from incompatible pointer type [enabled by default] sklearn/neighbors/dist_metrics.c:6004:54: note: expected ‘struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_MinkowskiDistance *’ but argument is of type ‘struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *’ sklearn/neighbors/dist_metrics.c: In function ‘__pyx_f_7sklearn_9neighbors_12dist_metrics_18WMinkowskiDistance_dist’: sklearn/neighbors/dist_metrics.c:6629:94: warning: passing argument 1 of ‘__pyx_f_7sklearn_9neighbors_12dist_metrics_18WMinkowskiDistance_rdist’ from incompatible pointer type [enabled by default] sklearn/neighbors/dist_metrics.c:6514:54: note: expected ‘struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_WMinkowskiDistance *’ but argument is of type ‘struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *’ sklearn/neighbors/dist_metrics.c: In function ‘__pyx_f_7sklearn_9neighbors_12dist_metrics_19MahalanobisDistance_dist’: sklearn/neighbors/dist_metrics.c:7469:95: warning: passing argument 1 of ‘__pyx_f_7sklearn_9neighbors_12dist_metrics_19MahalanobisDistance_rdist’ from incompatible pointer type [enabled by default] sklearn/neighbors/dist_metrics.c:7136:54: note: expected ‘struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_MahalanobisDistance *’ but argument is of type ‘struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *’ sklearn/neighbors/dist_metrics.c: In function ‘__pyx_pf_7sklearn_9neighbors_12dist_metrics_6euclidean_pairwise_class’: sklearn/neighbors/dist_metrics.c:10015:97: warning: passing argument 1 of ‘__pyx_f_7sklearn_9neighbors_12dist_metrics_17EuclideanDistance_dist’ from incompatible pointer type [enabled by default] sklearn/neighbors/dist_metrics.c:4894:54: note: expected ‘struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_EuclideanDistance *’ but argument is of type ‘struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *’ sklearn/neighbors/dist_metrics.c: At top level: /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:236:1: warning: ‘_import_umath’ defined but not used [-Wunused-function] gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro build/temp.linux-i686-2.7/sklearn/neighbors/dist_metrics.o -Lbuild/temp.linux-i686-2.7 -lm -o sklearn/neighbors/dist_metrics.so building 'sklearn.neighbors.typedefs' extension compiling C sources C compiler: gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC compile options: '-I/usr/local/lib/python2.7/dist-packages/numpy/core/include -I/usr/local/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' gcc: sklearn/neighbors/typedefs.c In file included from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0, from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17, from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:15, from sklearn/neighbors/typedefs.c:253: /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1594:1: warning: ‘_import_array’ defined but not used [-Wunused-function] /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:236:1: warning: ‘_import_umath’ defined but not used [-Wunused-function] gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro build/temp.linux-i686-2.7/sklearn/neighbors/typedefs.o -Lbuild/temp.linux-i686-2.7 -lm -o sklearn/neighbors/typedefs.so building 'sklearn.metrics.pairwise_fast' extension compiling C sources C compiler: gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC creating build/temp.linux-i686-2.7/sklearn/metrics compile options: '-I/usr/local/lib/python2.7/dist-packages/numpy/core/include -I/usr/local/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' gcc: sklearn/metrics/pairwise_fast.c In file included from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0, from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17, from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:15, from sklearn/metrics/pairwise_fast.c:256: /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:236:1: warning: ‘_import_umath’ defined but not used [-Wunused-function] gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro build/temp.linux-i686-2.7/sklearn/metrics/pairwise_fast.o -Lbuild/temp.linux-i686-2.7 -lm -o sklearn/metrics/pairwise_fast.so building 'sklearn.tree._tree' extension compiling C sources C compiler: gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC creating build/temp.linux-i686-2.7/sklearn/tree compile options: '-I/usr/local/lib/python2.7/dist-packages/numpy/core/include -I/usr/local/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' gcc: sklearn/tree/_tree.c In file included from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0, from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17, from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:15, from sklearn/tree/_tree.c:257: /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:236:1: warning: ‘_import_umath’ defined but not used [-Wunused-function] gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro build/temp.linux-i686-2.7/sklearn/tree/_tree.o -Lbuild/temp.linux-i686-2.7 -lm -o sklearn/tree/_tree.so building 'sklearn.metrics/cluster.expected_mutual_info_fast' extension compiling C sources C compiler: gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC creating build/temp.linux-i686-2.7/sklearn/metrics/cluster compile options: '-I/usr/local/lib/python2.7/dist-packages/numpy/core/include -I/usr/local/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' gcc: sklearn/metrics/cluster/expected_mutual_info_fast.c In file included from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0, from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17, from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:15, from sklearn/metrics/cluster/expected_mutual_info_fast.c:257: /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:236:1: warning: ‘_import_umath’ defined but not used [-Wunused-function] gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro build/temp.linux-i686-2.7/sklearn/metrics/cluster/expected_mutual_info_fast.o -Lbuild/temp.linux-i686-2.7 -lm -o sklearn/metrics/cluster/expected_mutual_info_fast.so building 'sklearn._hmmc' extension compiling C sources C compiler: gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC compile options: '-I/usr/local/lib/python2.7/dist-packages/numpy/core/include -I/usr/local/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' gcc: sklearn/_hmmc.c In file included from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0, from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17, from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:15, from sklearn/_hmmc.c:258: /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:236:1: warning: ‘_import_umath’ defined but not used [-Wunused-function] gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro build/temp.linux-i686-2.7/sklearn/_hmmc.o -Lbuild/temp.linux-i686-2.7 -lm -o sklearn/_hmmc.so building 'sklearn._isotonic' extension compiling C sources C compiler: gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC compile options: '-I/usr/local/lib/python2.7/dist-packages/numpy/core/include -I/usr/local/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' gcc: sklearn/_isotonic.c In file included from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0, from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17, from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:15, from sklearn/_isotonic.c:257: /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1594:1: warning: ‘_import_array’ defined but not used [-Wunused-function] /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:236:1: warning: ‘_import_umath’ defined but not used [-Wunused-function] gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro build/temp.linux-i686-2.7/sklearn/_isotonic.o -Lbuild/temp.linux-i686-2.7 -lm -o sklearn/_isotonic.so building 'sklearn.linear_model.cd_fast' extension compiling C sources C compiler: gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC creating build/temp.linux-i686-2.7/sklearn/linear_model compile options: '-DNO_ATLAS_INFO=1 -Isklearn/src/cblas -I/usr/local/lib/python2.7/dist-packages/numpy/core/include -I/usr/local/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' gcc: sklearn/linear_model/cd_fast.c In file included from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0, from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17, from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:15, from sklearn/linear_model/cd_fast.c:257: /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:236:1: warning: ‘_import_umath’ defined but not used [-Wunused-function] /usr/bin/gfortran -Wall -Wall -shared build/temp.linux-i686-2.7/sklearn/linear_model/cd_fast.o -L/usr/lib -Lbuild/temp.linux-i686-2.7 -lcblas -lm -lgfortran -o sklearn/linear_model/cd_fast.so building 'sklearn.linear_model.sgd_fast' extension compiling C sources C compiler: gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC compile options: '-I/usr/local/lib/python2.7/dist-packages/numpy/core/include -I/usr/local/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' gcc: sklearn/linear_model/sgd_fast.c In file included from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1728:0, from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17, from /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:15, from sklearn/linear_model/sgd_fast.c:315: /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2: warning: #warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] /usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:236:1: warning: ‘_import_umath’ defined but not used [-Wunused-function] gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro build/temp.linux-i686-2.7/sklearn/linear_model/sgd_fast.o -Lbuild/temp.linux-i686-2.7 -lm -o sklearn/linear_model/sgd_fast.so running scons nosetests -s -v sklearn /home/mainakjas/github/scikit-learn/sklearn/feature_selection/selector_mixin.py:7: DeprecationWarning: sklearn.feature_selection.selector_mixin.SelectorMixin has been renamed sklearn.feature_selection.from_model._LearntSelectorMixin, and this alias will be removed in version 0.16 DeprecationWarning) Affinity Propagation algorithm ... ok Tests the DBSCAN algorithm with a similarity array. ... ok Tests the DBSCAN algorithm with a feature vector array. ... ok Tests the DBSCAN algorithm with a callable metric. ... ok sklearn.cluster.tests.test_dbscan.test_pickle ... ok Check that we obtain the correct solution for structured ward tree. ... ok Check that we obtain the correct solution for unstructured ward tree. ... ok Check that the height of ward tree is sorted. ... ok Check that we obtain the correct number of clusters with Ward clustering. ... ok Check that we obtain the correct solution in a simplistic case ... ok Test scikit ward with full connectivity (i.e. unstructured) vs scipy ... ok Check that connectivity in the ward tree is propagated correctly during ... ok Check non regression of a bug if a non item assignable connectivity is ... ok sklearn.cluster.tests.test_k_means.test_square_norms ... ok sklearn.cluster.tests.test_k_means.test_kmeans_dtype ... ok sklearn.cluster.tests.test_k_means.test_labels_assignment_and_inertia ... ok Check that dense and sparse minibatch update give the same results ... ok sklearn.cluster.tests.test_k_means.test_k_means_plus_plus_init ... ok sklearn.cluster.tests.test_k_means.test_k_means_check_fitted ... ok sklearn.cluster.tests.test_k_means.test_k_means_new_centers ... ok sklearn.cluster.tests.test_k_means.test_k_means_plus_plus_init_2_jobs ... I: Seeding RNGs with 565480497 Converged after 58 iterations. ok sklearn.cluster.tests.test_k_means.test_k_means_plus_plus_init_sparse ... ok sklearn.cluster.tests.test_k_means.test_k_means_random_init ... ok sklearn.cluster.tests.test_k_means.test_k_means_random_init_sparse ... ok sklearn.cluster.tests.test_k_means.test_k_means_plus_plus_init_not_precomputed ... ok sklearn.cluster.tests.test_k_means.test_k_means_random_init_not_precomputed ... ok sklearn.cluster.tests.test_k_means.test_k_means_perfect_init ... ok sklearn.cluster.tests.test_k_means.test_mb_k_means_plus_plus_init_dense_array ... ok sklearn.cluster.tests.test_k_means.test_mb_kmeans_verbose ... ok sklearn.cluster.tests.test_k_means.test_mb_k_means_plus_plus_init_sparse_matrix ... ok sklearn.cluster.tests.test_k_means.test_minibatch_init_with_large_k ... ok sklearn.cluster.tests.test_k_means.test_minibatch_k_means_random_init_dense_array ... ok sklearn.cluster.tests.test_k_means.test_minibatch_k_means_random_init_sparse_csr ... ok sklearn.cluster.tests.test_k_means.test_minibatch_k_means_perfect_init_dense_array ... ok sklearn.cluster.tests.test_k_means.test_minibatch_k_means_perfect_init_sparse_csr ... ok sklearn.cluster.tests.test_k_means.test_minibatch_reassign ... ok sklearn.cluster.tests.test_k_means.test_sparse_mb_k_means_callable_init ... ok sklearn.cluster.tests.test_k_means.test_mini_batch_k_means_random_init_partial_fit ... ok sklearn.cluster.tests.test_k_means.test_minibatch_default_init_size ... ok sklearn.cluster.tests.test_k_means.test_minibatch_tol ... ok sklearn.cluster.tests.test_k_means.test_minibatch_set_init_size ... ok sklearn.cluster.tests.test_k_means.test_k_means_invalid_init ... ok sklearn.cluster.tests.test_k_means.test_mini_match_k_means_invalid_init ... ok Check if copy_x=False returns nearly equal X after de-centering. ... ok Check k_means with a bad initialization does not yield a singleton ... ok sklearn.cluster.tests.test_k_means.test_predict ... ok sklearn.cluster.tests.test_k_means.test_score ... ok sklearn.cluster.tests.test_k_means.test_predict_minibatch_dense_input ... ok sklearn.cluster.tests.test_k_means.test_predict_minibatch_kmeanspp_init_sparse_input ... ok sklearn.cluster.tests.test_k_means.test_predict_minibatch_random_init_sparse_input ... ok sklearn.cluster.tests.test_k_means.test_input_dtypes ... ok sklearn.cluster.tests.test_k_means.test_transform ... ok sklearn.cluster.tests.test_k_means.test_fit_transform ... ok Check that increasing the number of init increases the quality ... ok sklearn.cluster.tests.test_k_means.test_k_means_function ... ok Test MeanShift algorithm ... ok Non-regression: before fit, there should be not fitted attributes. ... ok Test the bin seeding technique which can be used in the mean shift ... ok sklearn.cluster.tests.test_spectral.test_spectral_clustering ... ok sklearn.cluster.tests.test_spectral.test_spectral_lobpcg_mode ... ok sklearn.cluster.tests.test_spectral.test_spectral_amg_mode ... ok sklearn.cluster.tests.test_spectral.test_spectral_unknown_mode ... ok sklearn.cluster.tests.test_spectral.test_spectral_unknown_assign_labels ... ok sklearn.cluster.tests.test_spectral.test_spectral_clustering_sparse ... ok sklearn.cluster.tests.test_spectral.test_affinities ... /home/mainakjas/github/scikit-learn/sklearn/manifold/spectral_embedding_.py:226: UserWarning: Graph is not fully connected, spectral embedding may not works as expected. warnings.warn("Graph is not fully connected, spectral embedding" ok sklearn.cluster.tests.test_spectral.test_discretize ... ok Tests Covariance module on a simple dataset. ... ok Tests ShrunkCovariance module on a simple dataset. ... ok Tests LedoitWolf module on a simple dataset. ... ok Tests OAS module on a simple dataset. ... ok sklearn.covariance.tests.test_graph_lasso.test_graph_lasso ... ok sklearn.covariance.tests.test_graph_lasso.test_graph_lasso_cv ... ok Tests the FastMCD algorithm implementation ... ok sklearn.covariance.tests.test_robust_covariance.test_mcd_issue1127 ... ok sklearn.covariance.tests.test_robust_covariance.test_outlier_detection ... ok Doctest: sklearn.cross_validation.Bootstrap ... ok Doctest: sklearn.cross_validation.KFold ... ok Doctest: sklearn.cross_validation.LeaveOneLabelOut ... ok Doctest: sklearn.cross_validation.LeaveOneOut ... ok Doctest: sklearn.cross_validation.LeavePLabelOut ... ok Doctest: sklearn.cross_validation.LeavePOut ... ok Doctest: sklearn.cross_validation.ShuffleSplit ... ok Doctest: sklearn.cross_validation.StratifiedKFold ... ok Doctest: sklearn.cross_validation.StratifiedShuffleSplit ... ok Doctest: sklearn.cross_validation.train_test_split ... ok Doctest: sklearn.datasets.base.load_boston ... ok Doctest: sklearn.datasets.base.load_digits ... ok Doctest: sklearn.datasets.base.load_iris ... ok Doctest: sklearn.datasets.base.load_sample_image ... ok Doctest: sklearn.datasets.base.load_sample_images ... ok Doctest: sklearn.datasets.mldata.fetch_mldata ... ok Doctest: sklearn.datasets.samples_generator.make_blobs ... ok sklearn.datasets.tests.test_20news.test_20news ... SKIP: Download 20 newsgroups to run this test sklearn.datasets.tests.test_20news.test_20news_vectorized ... SKIP sklearn.datasets.tests.test_base.test_data_home ... ok sklearn.datasets.tests.test_base.test_default_empty_load_files ... ok sklearn.datasets.tests.test_base.test_deprecated_load_filenames ... ok sklearn.datasets.tests.test_base.test_default_load_files ... ok sklearn.datasets.tests.test_base.test_load_files_w_categories_desc_and_encoding ... ok sklearn.datasets.tests.test_base.test_load_files_wo_load_content ... ok sklearn.datasets.tests.test_base.test_load_sample_images ... ok sklearn.datasets.tests.test_base.test_load_digits ... ok sklearn.datasets.tests.test_base.test_load_digits_n_class_lt_10 ... ok sklearn.datasets.tests.test_base.test_load_sample_image ... ok sklearn.datasets.tests.test_base.test_load_missing_sample_image_error ... ok sklearn.datasets.tests.test_base.test_load_diabetes ... ok sklearn.datasets.tests.test_base.test_load_linnerud ... ok sklearn.datasets.tests.test_base.test_load_iris ... ok sklearn.datasets.tests.test_base.test_load_boston ... ok sklearn.datasets.tests.test_covtype.test_fetch ... SKIP sklearn.datasets.tests.test_lfw.test_load_empty_lfw_people ... ok sklearn.datasets.tests.test_lfw.test_load_fake_lfw_people ... ok sklearn.datasets.tests.test_lfw.test_load_fake_lfw_people_too_restrictive ... ok sklearn.datasets.tests.test_lfw.test_load_empty_lfw_pairs ... ok sklearn.datasets.tests.test_lfw.test_load_fake_lfw_pairs ... ok sklearn.datasets.tests.test_mldata.test_mldata_filename ... ok Test that fetch_mldata is able to download and cache a data set. ... ok sklearn.datasets.tests.test_mldata.test_fetch_one_column ... ok sklearn.datasets.tests.test_mldata.test_fetch_multiple_column ... ok sklearn.datasets.tests.test_samples_generator.test_make_classification ... ok sklearn.datasets.tests.test_samples_generator.test_make_multilabel_classification ... ok sklearn.datasets.tests.test_samples_generator.test_make_hastie_10_2 ... ok sklearn.datasets.tests.test_samples_generator.test_make_regression ... ok sklearn.datasets.tests.test_samples_generator.test_make_regression_multitarget ... ok sklearn.datasets.tests.test_samples_generator.test_make_blobs ... ok sklearn.datasets.tests.test_samples_generator.test_make_friedman1 ... ok sklearn.datasets.tests.test_samples_generator.test_make_friedman2 ... ok sklearn.datasets.tests.test_samples_generator.test_make_friedman3 ... ok sklearn.datasets.tests.test_samples_generator.test_make_low_rank_matrix ... ok sklearn.datasets.tests.test_samples_generator.test_make_sparse_coded_signal ... ok sklearn.datasets.tests.test_samples_generator.test_make_sparse_uncorrelated ... ok sklearn.datasets.tests.test_samples_generator.test_make_spd_matrix ... ok sklearn.datasets.tests.test_samples_generator.test_make_swiss_roll ... ok sklearn.datasets.tests.test_samples_generator.test_make_s_curve ... ok sklearn.datasets.tests.test_svmlight_format.test_load_svmlight_file ... ok sklearn.datasets.tests.test_svmlight_format.test_load_svmlight_file_fd ... ok sklearn.datasets.tests.test_svmlight_format.test_load_svmlight_file_multilabel ... ok sklearn.datasets.tests.test_svmlight_format.test_load_svmlight_files ... ok sklearn.datasets.tests.test_svmlight_format.test_load_svmlight_file_n_features ... ok sklearn.datasets.tests.test_svmlight_format.test_load_compressed ... ok sklearn.datasets.tests.test_svmlight_format.test_load_invalid_file ... ok sklearn.datasets.tests.test_svmlight_format.test_load_invalid_order_file ... ok sklearn.datasets.tests.test_svmlight_format.test_load_zero_based ... ok sklearn.datasets.tests.test_svmlight_format.test_load_zero_based_auto ... ok sklearn.datasets.tests.test_svmlight_format.test_load_with_qid ... ok sklearn.datasets.tests.test_svmlight_format.test_load_invalid_file2 ... ok sklearn.datasets.tests.test_svmlight_format.test_not_a_filename ... ok sklearn.datasets.tests.test_svmlight_format.test_invalid_filename ... ok sklearn.datasets.tests.test_svmlight_format.test_dump ... ok sklearn.datasets.tests.test_svmlight_format.test_dump_concise ... ok sklearn.datasets.tests.test_svmlight_format.test_dump_comment ... ok sklearn.datasets.tests.test_svmlight_format.test_dump_invalid ... ok sklearn.datasets.tests.test_svmlight_format.test_dump_query_id ... ok Doctest: sklearn.decomposition.nmf.NMF ... ok Doctest: sklearn.decomposition.nmf.ProjectedGradientNMF ... ok Doctest: sklearn.decomposition.pca.PCA ... ok Doctest: sklearn.decomposition.pca.ProbabilisticPCA ... ok Doctest: sklearn.decomposition.pca.RandomizedPCA ... ok sklearn.decomposition.tests.test_dict_learning.test_dict_learning_shapes ... ok sklearn.decomposition.tests.test_dict_learning.test_dict_learning_overcomplete ... ok sklearn.decomposition.tests.test_dict_learning.test_dict_learning_reconstruction ... ok sklearn.decomposition.tests.test_dict_learning.test_dict_learning_nonzero_coefs ... ok sklearn.decomposition.tests.test_dict_learning.test_dict_learning_unknown_fit_algorithm ... ok sklearn.decomposition.tests.test_dict_learning.test_dict_learning_split ... ok sklearn.decomposition.tests.test_dict_learning.test_dict_learning_online_shapes ... ok sklearn.decomposition.tests.test_dict_learning.test_dict_learning_online_verbosity ... ok sklearn.decomposition.tests.test_dict_learning.test_dict_learning_online_estimator_shapes ... ok sklearn.decomposition.tests.test_dict_learning.test_dict_learning_online_overcomplete ... ok sklearn.decomposition.tests.test_dict_learning.test_dict_learning_online_initialization ... ok sklearn.decomposition.tests.test_dict_learning.test_dict_learning_online_partial_fit ... SKIP sklearn.decomposition.tests.test_dict_learning.test_sparse_encode_shapes ... ok sklearn.decomposition.tests.test_dict_learning.test_sparse_encode_error ... ok sklearn.decomposition.tests.test_dict_learning.test_unknown_method ... ok sklearn.decomposition.tests.test_dict_learning.test_sparse_coder_estimator ... ok Test FactorAnalysis ability to recover the data covariance structure ... ok Test gram schmidt orthonormalization ... ok Test the FastICA algorithm on very simple data. ... ok sklearn.decomposition.tests.test_fastica.test_fastica_nowhiten ... ok Test the FastICA algorithm on very simple data. ... ok sklearn.decomposition.tests.test_kernel_pca.test_kernel_pca ... ok sklearn.decomposition.tests.test_kernel_pca.test_invalid_parameters ... ok sklearn.decomposition.tests.test_kernel_pca.test_kernel_pca_sparse ... ok sklearn.decomposition.tests.test_kernel_pca.test_kernel_pca_linear_kernel ... ok sklearn.decomposition.tests.test_kernel_pca.test_kernel_pca_n_components ... ok sklearn.decomposition.tests.test_kernel_pca.test_remove_zero_eig ... ok sklearn.decomposition.tests.test_kernel_pca.test_kernel_pca_precomputed ... ok sklearn.decomposition.tests.test_kernel_pca.test_kernel_pca_invalid_kernel ... ok sklearn.decomposition.tests.test_kernel_pca.test_gridsearch_pipeline ... ok sklearn.decomposition.tests.test_kernel_pca.test_gridsearch_pipeline_precomputed ... ok Test the linear separability of the first 2D KPCA transform ... ok Test NNDSVD behaviour on negative input ... ok Test that NNDSVD does not return negative values ... ok Test NNDSVD error ... ok Test NNDSVD variants correctness ... ok Test model fit behaviour on negative input ... ok Test that the decomposition does not contain negative values ... ok Test that the fit is not too far away ... ok Test NLS solver's behaviour on negative input ... ok Test that NLS solver doesn't return negative values ... ok Test that the NLS results should be close ... ok Test that NMF.transform returns close values ... ok Smoke test for the case of more components than features. ... ok Test sparseness ... ok Test that sparse matrices are accepted as input ... ok PCA on dense arrays ... ok Check that PCA output has unit-variance ... ok Test that the projection of data is correct ... ok Test that the projection of data can be inverted ... ok Test that the projection by RandomizedPCA on dense data is correct ... ok Test that the projection by RandomizedPCA on list data is correct ... ok Test that RandomizedPCA is inversible on dense data ... ok Test that the projection by RandomizedPCA on sparse data is correct ... ok Test that RandomizedPCA is inversible on sparse data ... ok Check automated dimensionality setting ... ok TODO: explain what this is testing ... ok TODO: explain what this is testing ... ok sklearn.decomposition.tests.test_pca.test_infer_dim_3 ... ok sklearn.decomposition.tests.test_pca.test_infer_dim_by_explained_variance ... ok Test that probabilistic PCA yields a reasonable score ... ok Test that probabilistic PCA correctly separated different datasets ... ok The homoscedastic model should work slightly worth ... ok Check that ppca select the right model ... ok sklearn.decomposition.tests.test_sparse_pca.test_correct_shapes ... ok sklearn.decomposition.tests.test_sparse_pca.test_fit_transform ... [1 1 0 0 1 0 1 1 0 1] [1 1 0 0 0 0 1 1 0 1] [1 1 0 0 0 0 1 1 0 1] [1 0 0 1 0 0 0 0 0 0] [0 0 0 0 0 0 1 0 0 1] [0 0 0 0 0 0 1 0 0 1] [1 1 0 0 1 0 1 1 0 1] (2.1792710907748987, 55.408283490240684) None make: *** [test-code] Terminated