python3-shogun-6.0.0-15.fc30.x86_64.rpm


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Description

python3-shogun - Python-plugin for shogun

Property Value
Distribution Fedora 30
Repository Fedora x86_64
Package filename python3-shogun-6.0.0-15.fc30.x86_64.rpm
Package name python3-shogun
Package version 6.0.0
Package release 15.fc30
Package architecture x86_64
Package type rpm
Homepage http://shogun-toolbox.org
License GPLv3+ and BSD and GPLv2+ and (GPLv2+ or LGPLv2+) and GPLv3 and LGPLv2+ and MIT and (Public Domain or GPLv3+)
Maintainer -
Download size 2.88 MB
Installed size 16.80 MB
This package contains the Python3-plugin for shogun.
The Shogun Machine learning toolbox provides a wide range of unified and
efficient Machine Learning (ML) methods.  The toolbox seamlessly allows to
easily combine multiple data representations, algorithm classes, and general
purpose tools.  This enables both rapid prototyping of data pipelines and
extensibility in terms of new algorithms.  We combine modern software
architecture in C++ with both efficient low-level computing back-ends and
cutting edge algorithm implementations to solve large-scale Machine Learning
problems (yet) on single machines.
One of Shogun's most exciting features is that you can use the toolbox through
a unified interface from C++, Python(3), Octave, R, Java, Lua, etc.  This not
just means that we are independent of trends in computing languages, but it
also lets you use Shogun as a vehicle to expose your algorithm to multiple
communities.  We use SWIG to enable bidirectional communication between C++
and target languages.  Shogun runs under Linux/Unix, MacOS, Windows.
Originally focusing on large-scale kernel methods and bioinformatics (for a
list of scientific papers mentioning Shogun, see here), the toolbox saw
massive extensions to other fields in recent years.  It now offers features
that span the whole space of Machine Learning methods, including many
classical methods in classification, regression, dimensionality reduction,
clustering, but also more advanced algorithm classes such as metric,
multi-task, structured output, and online learning, as well as feature
hashing, ensemble methods, and optimization, just to name a few.  Shogun in
addition contains a number of exclusive state-of-the art algorithms such as
a wealth of efficient SVM implementations, Multiple Kernel Learning, kernel
hypothesis testing, Krylov methods, etc.  All algorithms are supported by a
collection of general purpose methods for evaluation, parameter tuning,
preprocessing, serialization & I/O, etc;  the resulting combinatorial
possibilities are huge.
The wealth of ML open-source software allows us to offer bindings to other
sophisticated libraries including:  LibSVM, LibLinear, LibOCAS, libqp,
VowpalWabbit, Tapkee, SLEP, GPML and more.
Shogun got initiated in 1999 by Soeren Sonnenburg and Gunnar Raetsch (that's
where the name ShoGun originates from).  It is now developed by a larger team
of authors, and would not have been possible without the patches and bug
reports by various people.  See contributions for a detailed list.  Statistics
on Shogun's development activity can be found on ohloh.

Alternatives

Package Version Architecture Repository
python3-shogun-6.0.0-15.fc30.i686.rpm 6.0.0 i686 Fedora
python3-shogun - - -

Requires

Name Value
libc.so.6(GLIBC_2.14)(64bit) -
libgcc_s.so.1()(64bit) -
libgcc_s.so.1(GCC_3.0)(64bit) -
libgcc_s.so.1(GCC_4.0.0)(64bit) -
libm.so.6()(64bit) -
libm.so.6(GLIBC_2.2.5)(64bit) -
libm.so.6(GLIBC_2.23)(64bit) -
libpython3.7m.so.1.0()(64bit) -
libshogun.so.18()(64bit) -
libstdc++.so.6()(64bit) -
libstdc++.so.6(CXXABI_1.3)(64bit) -
libstdc++.so.6(CXXABI_1.3.1)(64bit) -
libstdc++.so.6(CXXABI_1.3.5)(64bit) -
libstdc++.so.6(GLIBCXX_3.4)(64bit) -
libstdc++.so.6(GLIBCXX_3.4.21)(64bit) -
python(abi) = 3.7
python3(x86-64) -
python3-numpy(x86-64) -
python3-scipy(x86-64) -
rtld(GNU_HASH) -
shogun(x86-64) = 6.0.0-15.fc30

Provides

Name Value
python3-shogun = 6.0.0-15.fc30
python3-shogun(x86-64) = 6.0.0-15.fc30

Download

Type URL
Mirror download-ib01.fedoraproject.org
Binary Package python3-shogun-6.0.0-15.fc30.x86_64.rpm
Source Package shogun-6.0.0-15.fc30.src.rpm

Install Howto

Install python3-shogun rpm package:

# dnf install python3-shogun

Files

Path
/usr/lib/.build-id/
/usr/lib/.build-id/1a/529e479a67c8f23c7fc30fe09637cf241492e5
/usr/lib64/python3.7/site-packages/_modshogun.so
/usr/lib64/python3.7/site-packages/modshogun.py
/usr/lib64/python3.7/site-packages/__pycache__/modshogun.cpython-37.opt-1.pyc
/usr/lib64/python3.7/site-packages/__pycache__/modshogun.cpython-37.pyc
/usr/lib64/python3.7/site-packages/shogun/__init__.py
/usr/lib64/python3.7/site-packages/shogun/Classifier/__init__.py
/usr/lib64/python3.7/site-packages/shogun/Classifier/__pycache__/__init__.cpython-37.opt-1.pyc
/usr/lib64/python3.7/site-packages/shogun/Classifier/__pycache__/__init__.cpython-37.pyc
/usr/lib64/python3.7/site-packages/shogun/Clustering/__init__.py
/usr/lib64/python3.7/site-packages/shogun/Clustering/__pycache__/__init__.cpython-37.opt-1.pyc
/usr/lib64/python3.7/site-packages/shogun/Clustering/__pycache__/__init__.cpython-37.pyc
/usr/lib64/python3.7/site-packages/shogun/Converter/__init__.py
/usr/lib64/python3.7/site-packages/shogun/Converter/__pycache__/__init__.cpython-37.opt-1.pyc
/usr/lib64/python3.7/site-packages/shogun/Converter/__pycache__/__init__.cpython-37.pyc
/usr/lib64/python3.7/site-packages/shogun/Distance/__init__.py
/usr/lib64/python3.7/site-packages/shogun/Distance/__pycache__/__init__.cpython-37.opt-1.pyc
/usr/lib64/python3.7/site-packages/shogun/Distance/__pycache__/__init__.cpython-37.pyc
/usr/lib64/python3.7/site-packages/shogun/Distribution/__init__.py
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/usr/lib64/python3.7/site-packages/shogun/Evaluation/__init__.py
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/usr/lib64/python3.7/site-packages/shogun/Evaluation/__pycache__/__init__.cpython-37.pyc
/usr/lib64/python3.7/site-packages/shogun/Features/__init__.py
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/usr/lib64/python3.7/site-packages/shogun/IO/__pycache__/__init__.cpython-37.pyc
/usr/lib64/python3.7/site-packages/shogun/Kernel/__init__.py
/usr/lib64/python3.7/site-packages/shogun/Kernel/__pycache__/__init__.cpython-37.opt-1.pyc
/usr/lib64/python3.7/site-packages/shogun/Kernel/__pycache__/__init__.cpython-37.pyc
/usr/lib64/python3.7/site-packages/shogun/Latent/__init__.py
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/usr/lib64/python3.7/site-packages/shogun/Library/__init__.py
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/usr/lib64/python3.7/site-packages/shogun/Preprocessor/__init__.py
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/usr/lib64/python3.7/site-packages/shogun/Regression/__init__.py
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/usr/lib64/python3.7/site-packages/shogun/Regression/__pycache__/__init__.cpython-37.pyc
/usr/lib64/python3.7/site-packages/shogun/Statistics/__init__.py
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/usr/lib64/python3.7/site-packages/shogun/Structure/__init__.py
/usr/lib64/python3.7/site-packages/shogun/Structure/__pycache__/__init__.cpython-37.opt-1.pyc
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/usr/lib64/python3.7/site-packages/shogun/__pycache__/__init__.cpython-37.pyc
/usr/share/doc/shogun/examples/python/
/usr/share/doc/shogun/examples/python/binary_classifier/averaged_perceptron.py
/usr/share/doc/shogun/examples/python/binary_classifier/kernel_svm.py
/usr/share/doc/shogun/examples/python/binary_classifier/lda.py
/usr/share/doc/shogun/examples/python/binary_classifier/linear_svm.py
/usr/share/doc/shogun/examples/python/clustering/gmm.py
/usr/share/doc/shogun/examples/python/clustering/hierarchical.py
/usr/share/doc/shogun/examples/python/clustering/kmeans.py
/usr/share/doc/shogun/examples/python/distance/braycurtis.py
/usr/share/doc/shogun/examples/python/distance/cosine.py
/usr/share/doc/shogun/examples/python/distance/euclidean.py
/usr/share/doc/shogun/examples/python/distance/mahalanobis.py
/usr/share/doc/shogun/examples/python/distance/manhattan.py
/usr/share/doc/shogun/examples/python/gaussian_processes/gaussian_process_classifier.py
/usr/share/doc/shogun/examples/python/gaussian_processes/gaussian_process_regression.py
/usr/share/doc/shogun/examples/python/gaussian_processes/sparse_gaussian_process_regression.py
/usr/share/doc/shogun/examples/python/meta_api/enums.py
/usr/share/doc/shogun/examples/python/meta_api/literals.py
/usr/share/doc/shogun/examples/python/meta_api/matrix_types.py
/usr/share/doc/shogun/examples/python/meta_api/vector_types.py
/usr/share/doc/shogun/examples/python/multiclass_classifier/cartree.py
/usr/share/doc/shogun/examples/python/multiclass_classifier/chaid_tree.py
/usr/share/doc/shogun/examples/python/multiclass_classifier/gaussian_naive_bayes.py
/usr/share/doc/shogun/examples/python/multiclass_classifier/knn.py
/usr/share/doc/shogun/examples/python/multiclass_classifier/large_margin_nearest_neighbours.py
/usr/share/doc/shogun/examples/python/multiclass_classifier/linear_discriminant_analysis.py
/usr/share/doc/shogun/examples/python/multiclass_classifier/multiclass_ecoc_random.py
/usr/share/doc/shogun/examples/python/multiclass_classifier/multiclass_linearmachine.py
/usr/share/doc/shogun/examples/python/multiclass_classifier/multiclass_logisticregression.py
/usr/share/doc/shogun/examples/python/multiclass_classifier/quadratic_discriminant_analysis.py
/usr/share/doc/shogun/examples/python/multiclass_classifier/random_forest.py
/usr/share/doc/shogun/examples/python/multiclass_classifier/relaxed_tree.py
/usr/share/doc/shogun/examples/python/multiclass_classifier/shareboost.py
/usr/share/doc/shogun/examples/python/multiclass_classifier/svm.py
/usr/share/doc/shogun/examples/python/neural_nets/feedforward_net_classification.py
/usr/share/doc/shogun/examples/python/neural_nets/feedforward_net_regression.py
/usr/share/doc/shogun/examples/python/regression/kernel_ridge_regression.py
/usr/share/doc/shogun/examples/python/regression/krr_nystrom.py
/usr/share/doc/shogun/examples/python/regression/least_angle_regression.py
/usr/share/doc/shogun/examples/python/regression/linear_ridge_regression.py
/usr/share/doc/shogun/examples/python/regression/random_forest_regression.py
/usr/share/doc/shogun/examples/python/regression/support_vector_regression.py
/usr/share/doc/shogun/examples/python/statistical_testing/linear_time_mmd.py
/usr/share/doc/shogun/examples/python/statistical_testing/quadratic_time_mmd.py
/usr/share/doc/shogun/examples/python_modular/classifier_custom_kernel_modular.py
/usr/share/doc/shogun/examples/python_modular/classifier_featureblock_logistic_regression.py
/usr/share/doc/shogun/examples/python_modular/classifier_gmnpsvm_modular.py
/usr/share/doc/shogun/examples/python_modular/classifier_gpbtsvm_modular.py
/usr/share/doc/shogun/examples/python_modular/classifier_larank_modular.py
/usr/share/doc/shogun/examples/python_modular/classifier_lda_modular.py
/usr/share/doc/shogun/examples/python_modular/classifier_libsvmoneclass_modular.py
/usr/share/doc/shogun/examples/python_modular/classifier_mpdsvm_modular.py
/usr/share/doc/shogun/examples/python_modular/classifier_multiclass_ecoc.py
/usr/share/doc/shogun/examples/python_modular/classifier_multiclassliblinear_modular.py
/usr/share/doc/shogun/examples/python_modular/classifier_multiclassmachine_modular.py
/usr/share/doc/shogun/examples/python_modular/classifier_multiclassocas_modular.py
/usr/share/doc/shogun/examples/python_modular/classifier_multilabeloutputliblinear_modular.py
/usr/share/doc/shogun/examples/python_modular/classifier_perceptron_modular.py
/usr/share/doc/shogun/examples/python_modular/classifier_ssk_modular.py
/usr/share/doc/shogun/examples/python_modular/classifier_svmlin_modular.py
/usr/share/doc/shogun/examples/python_modular/classifier_svmocas_modular.py
/usr/share/doc/shogun/examples/python_modular/classifier_svmsgd_modular.py
/usr/share/doc/shogun/examples/python_modular/converter_diffusionmaps_modular.py
/usr/share/doc/shogun/examples/python_modular/converter_factoranalysis_modular.py
/usr/share/doc/shogun/examples/python_modular/converter_hasheddoc_modular.py
/usr/share/doc/shogun/examples/python_modular/converter_hessianlocallylinearembedding_modular.py
/usr/share/doc/shogun/examples/python_modular/converter_isomap_modular.py
/usr/share/doc/shogun/examples/python_modular/converter_kernellocallylinearembedding_modular.py
/usr/share/doc/shogun/examples/python_modular/converter_laplacianeigenmaps_modular.py
/usr/share/doc/shogun/examples/python_modular/converter_linearlocaltangentspacealignment_modular.py
/usr/share/doc/shogun/examples/python_modular/converter_localitypreservingprojections_modular.py
/usr/share/doc/shogun/examples/python_modular/converter_locallylinearembedding_modular.py
/usr/share/doc/shogun/examples/python_modular/converter_localtangentspacealignment_modular.py
/usr/share/doc/shogun/examples/python_modular/converter_multidimensionalscaling_modular.py
/usr/share/doc/shogun/examples/python_modular/converter_stochasticproximityembedding_modular.py
/usr/share/doc/shogun/examples/python_modular/converter_tdistributedstochasticneighborembedding_modular.py
/usr/share/doc/shogun/examples/python_modular/distance_canberra_modular.py
/usr/share/doc/shogun/examples/python_modular/distance_canberraword_modular.py
/usr/share/doc/shogun/examples/python_modular/distance_chebyshew_modular.py
/usr/share/doc/shogun/examples/python_modular/distance_chisquare_modular.py
/usr/share/doc/shogun/examples/python_modular/distance_director_euclidean_modular.py
/usr/share/doc/shogun/examples/python_modular/distance_geodesic_modular.py
/usr/share/doc/shogun/examples/python_modular/distance_hammingword_modular.py
/usr/share/doc/shogun/examples/python_modular/distance_jensen_modular.py
/usr/share/doc/shogun/examples/python_modular/distance_manhattenword_modular.py
/usr/share/doc/shogun/examples/python_modular/distance_minkowski_modular.py
/usr/share/doc/shogun/examples/python_modular/distance_normsquared_modular.py
/usr/share/doc/shogun/examples/python_modular/distance_sparseeuclidean_modular.py
/usr/share/doc/shogun/examples/python_modular/distance_tanimoto_modular.py
/usr/share/doc/shogun/examples/python_modular/distribution_histogram_modular.py
/usr/share/doc/shogun/examples/python_modular/distribution_hmm_modular.py
/usr/share/doc/shogun/examples/python_modular/distribution_linearhmm_modular.py
/usr/share/doc/shogun/examples/python_modular/distribution_ppwm_modular.py
/usr/share/doc/shogun/examples/python_modular/evaluation_clustering.py
/usr/share/doc/shogun/examples/python_modular/evaluation_clustering_simple.py
/usr/share/doc/shogun/examples/python_modular/evaluation_contingencytableevaluation_modular.py
/usr/share/doc/shogun/examples/python_modular/evaluation_cross_validation_classification.py
/usr/share/doc/shogun/examples/python_modular/evaluation_cross_validation_mkl_weight_storage.py
/usr/share/doc/shogun/examples/python_modular/evaluation_cross_validation_multiclass_storage.py
/usr/share/doc/shogun/examples/python_modular/evaluation_cross_validation_regression.py
/usr/share/doc/shogun/examples/python_modular/evaluation_director_contingencytableevaluation_modular.py
/usr/share/doc/shogun/examples/python_modular/evaluation_meansquarederror_modular.py
/usr/share/doc/shogun/examples/python_modular/evaluation_meansquaredlogerror_modular.py
/usr/share/doc/shogun/examples/python_modular/evaluation_multiclassaccuracy_modular.py
/usr/share/doc/shogun/examples/python_modular/evaluation_multiclassovrevaluation_modular.py
/usr/share/doc/shogun/examples/python_modular/evaluation_prcevaluation_modular.py
/usr/share/doc/shogun/examples/python_modular/evaluation_rocevaluation_modular.py
/usr/share/doc/shogun/examples/python_modular/evaluation_thresholds_modular.py
/usr/share/doc/shogun/examples/python_modular/features_binned_dot_modular.py
/usr/share/doc/shogun/examples/python_modular/features_dense_byte_modular.py
/usr/share/doc/shogun/examples/python_modular/features_dense_io_modular.py
/usr/share/doc/shogun/examples/python_modular/features_dense_longint_modular.py
/usr/share/doc/shogun/examples/python_modular/features_dense_modular.py
/usr/share/doc/shogun/examples/python_modular/features_dense_protocols_modular.py
/usr/share/doc/shogun/examples/python_modular/features_dense_real_modular.py
/usr/share/doc/shogun/examples/python_modular/features_dense_zero_copy_modular.py
/usr/share/doc/shogun/examples/python_modular/features_director_dot_modular.py
/usr/share/doc/shogun/examples/python_modular/features_hasheddocdot_modular.py
/usr/share/doc/shogun/examples/python_modular/features_io_modular.py
/usr/share/doc/shogun/examples/python_modular/features_snp_modular.py
/usr/share/doc/shogun/examples/python_modular/features_sparse_modular.py
/usr/share/doc/shogun/examples/python_modular/features_string_char_compressed_modular.py
/usr/share/doc/shogun/examples/python_modular/features_string_char_modular.py
/usr/share/doc/shogun/examples/python_modular/features_string_file_char_modular.py
/usr/share/doc/shogun/examples/python_modular/features_string_file_modular.py
/usr/share/doc/shogun/examples/python_modular/features_string_hashed_wd_modular.py
/usr/share/doc/shogun/examples/python_modular/features_string_sliding_window_modular.py
/usr/share/doc/shogun/examples/python_modular/features_string_ulong_modular.py
/usr/share/doc/shogun/examples/python_modular/features_string_word_modular.py
/usr/share/doc/shogun/examples/python_modular/kernel_anova_modular.py
/usr/share/doc/shogun/examples/python_modular/kernel_auc_modular.py
/usr/share/doc/shogun/examples/python_modular/kernel_cauchy_modular.py
/usr/share/doc/shogun/examples/python_modular/kernel_chi2_modular.py
/usr/share/doc/shogun/examples/python_modular/kernel_circular_modular.py
/usr/share/doc/shogun/examples/python_modular/kernel_combined_custom_poly_modular.py
/usr/share/doc/shogun/examples/python_modular/kernel_combined_modular.py
/usr/share/doc/shogun/examples/python_modular/kernel_comm_ulong_string_modular.py
/usr/share/doc/shogun/examples/python_modular/kernel_comm_word_string_modular.py
/usr/share/doc/shogun/examples/python_modular/kernel_const_modular.py
/usr/share/doc/shogun/examples/python_modular/kernel_custom_modular.py
/usr/share/doc/shogun/examples/python_modular/kernel_diag_modular.py
/usr/share/doc/shogun/examples/python_modular/kernel_director_linear_modular.py
/usr/share/doc/shogun/examples/python_modular/kernel_distance_modular.py
/usr/share/doc/shogun/examples/python_modular/kernel_distantsegments_modular.py
/usr/share/doc/shogun/examples/python_modular/kernel_exponential_modular.py
/usr/share/doc/shogun/examples/python_modular/kernel_fisher_modular.py
/usr/share/doc/shogun/examples/python_modular/kernel_fixed_degree_string_modular.py
/usr/share/doc/shogun/examples/python_modular/kernel_gaussian_modular.py
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/usr/share/doc/shogun/examples/python_modular/streaming_vw_createcache_modular.py
/usr/share/doc/shogun/examples/python_modular/streaming_vw_modular.py
/usr/share/doc/shogun/examples/python_modular/structure_discrete_hmsvm_bmrm.py
/usr/share/doc/shogun/examples/python_modular/structure_discrete_hmsvm_mosek.py
/usr/share/doc/shogun/examples/python_modular/structure_dynprog_modular.py
/usr/share/doc/shogun/examples/python_modular/structure_factor_graph_model.py
/usr/share/doc/shogun/examples/python_modular/structure_graphcuts.py
/usr/share/doc/shogun/examples/python_modular/structure_hierarchical_multilabel_classification.py
/usr/share/doc/shogun/examples/python_modular/structure_multiclass_bmrm.py
/usr/share/doc/shogun/examples/python_modular/structure_plif_hmsvm_bmrm.py
/usr/share/doc/shogun/examples/python_modular/structure_plif_hmsvm_mosek.py
/usr/share/doc/shogun/examples/python_modular/tests_check_commwordkernel_memleak_modular.py
/usr/share/doc/shogun/examples/python_modular/transfer_multitask_clustered_logistic_regression.py
/usr/share/doc/shogun/examples/python_modular/transfer_multitask_l12_logistic_regression.py
/usr/share/doc/shogun/examples/python_modular/transfer_multitask_leastsquares_regression.py
/usr/share/doc/shogun/examples/python_modular/transfer_multitask_logistic_regression.py
/usr/share/doc/shogun/examples/python_modular/transfer_multitask_trace_logistic_regression.py
/usr/share/doc/shogun/examples/python_modular/variational_classifier_modular.py
/usr/share/doc/shogun/examples/python_modular/graphical/classifier_gaussian_process_binary_classification.py
/usr/share/doc/shogun/examples/python_modular/graphical/classifier_perceptron_graphical.py
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/usr/share/doc/shogun/examples/python_modular/graphical/interactive_kmm_demo.py
/usr/share/doc/shogun/examples/python_modular/graphical/interactive_svm_demo.py
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/usr/share/doc/shogun/examples/python_modular/graphical/so_multiclass_BMRM.py
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/usr/share/doc/shogun/ipython-notebooks/structure/FGM.ipynb
/usr/share/doc/shogun/ipython-notebooks/structure/multilabel_structured_prediction.ipynb

Changelog

2018-09-30 - Miro Hrončok <mhroncok@redhat.com> - 6.0.0-15
- Remove python2 subpackage (#1629747)
2018-07-14 - Fedora Release Engineering <releng@fedoraproject.org> - 6.0.0-14
- Rebuilt for https://fedoraproject.org/wiki/Fedora_29_Mass_Rebuild
2018-06-19 - Miro Hrončok <mhroncok@redhat.com> - 6.0.0-13
- Rebuilt for Python 3.7
2018-06-02 - Jerry James <loganjerry@gmail.com> - 6.0.0-12
- Rebuild for glpk 4.65
- Add -json-c_deprecated and -pybtex_bug patches (bz 1518828, bz 1556583)
- Use ldconfig macro
- Use the PWD shell variable instead of repeatedly invoking /bin/pwd
2018-03-26 - Iryna Shcherbina <ishcherb@redhat.com> - 6.0.0-11
- Update Python 2 dependency declarations to new packaging standards
(See https://fedoraproject.org/wiki/FinalizingFedoraSwitchtoPython3)
2018-02-09 - Fedora Release Engineering <releng@fedoraproject.org> - 6.0.0-10
- Rebuilt for https://fedoraproject.org/wiki/Fedora_28_Mass_Rebuild
2018-01-04 - Tom Callaway <spot@fedoraproject.org> - 6.0.0-9
- Disable atlas, use lapack only (because atlas's lapack library is not
compatible with lapack's lapacke library)
- Apply patch helping shogun to find and use cblas header files
2017-11-13 - Igor Gnatenko <ignatenkobrain@fedoraproject.org> - 6.0.0-8
- Rebuild for protobuf 3.4
2017-08-03 - Fedora Release Engineering <releng@fedoraproject.org> - 6.0.0-7
- Rebuilt for https://fedoraproject.org/wiki/Fedora_27_Binutils_Mass_Rebuild
2017-07-27 - Fedora Release Engineering <releng@fedoraproject.org> - 6.0.0-6
- Rebuilt for https://fedoraproject.org/wiki/Fedora_27_Mass_Rebuild

See Also

Package Description
python3-shortuuid-0.5.0-8.fc30.noarch.rpm A generator library for concise, unambiguous and URL-safe UUIDs
python3-sieve-0.1.9-13.fc30.noarch.rpm XML Comparison Utils
python3-sievelib-1.1.1-5.fc30.noarch.rpm Client-side SIEVE library
python3-signalfd-0.1-21.fc30.x86_64.rpm Python bindings to the Linux signalfd library/system call
python3-signedjson-1.0.0-10.fc30.noarch.rpm Sign JSON with Ed25519 signatures
python3-signon-2.1-4.fc30.x86_64.rpm Documentation for signon-glib
python3-simplebayes-1.5.8-6.fc30.noarch.rpm A memory-based, optional-persistence naïve bayesian text classifier
python3-simpleeval-0.9.6-3.fc30.noarch.rpm An expression evaluator library for Python
python3-simplegeneric-0.8.1-14.fc30.noarch.rpm Simple generic functions (similar to Python's own len(), pickle.dump(), etc.)
python3-simplejson-3.16.0-2.fc30.x86_64.rpm Simple, fast, extensible JSON encoder/decoder for Python3
python3-simpleline-1.4-2.fc30.noarch.rpm A Python3 library for creating text UI
python3-simplemediawiki-1.2.0-0.18.b2.fc30.noarch.rpm Extremely low-level wrapper to the MediaWiki API
python3-simplepam-0.1.5-13.fc30.noarch.rpm Pure Python interface to the Pluggable Authentication Modules system on Linux
python3-simpleparse-2.2.0-6.fc30.x86_64.rpm A simple and fast parser generator
python3-simpletal-5.2-8.fc30.noarch.rpm An XML based template processor for TAL, TALES and METAL specifications
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