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/dports/science/py-scikit-learn/scikit-learn-1.0.2/doc/computing/
H A Dscaling_strategies.rst27 Streaming instances
34 Extracting features
51 Incremental learning
102 Examples
132 Notes
/dports/science/py-scikit-learn/scikit-learn-1.0.2/doc/modules/
H A Ddecomposition.rst533 … |pca_img2| image:: ../auto_examples/decomposition/images/sphx_glr_plot_faces_decomposition_002.png
537 …|dict_img2| image:: ../auto_examples/decomposition/images/sphx_glr_plot_faces_decomposition_006.png
556 …t_img_pos1| image:: ../auto_examples/decomposition/images/sphx_glr_plot_faces_decomposition_011.png
560 …t_img_pos2| image:: ../auto_examples/decomposition/images/sphx_glr_plot_faces_decomposition_012.png
564 …t_img_pos3| image:: ../auto_examples/decomposition/images/sphx_glr_plot_faces_decomposition_013.png
568 …t_img_pos4| image:: ../auto_examples/decomposition/images/sphx_glr_plot_faces_decomposition_014.png
597 .. _MiniBatchDictionaryLearning:
635 .. _FA:
/dports/math/timbl/timbl-6.6/docs/texfiles/
H A DTimbl_6.3_Manual.tex1433 \subsection{The Overlap metric}
1508 \subsection{Information-gain and gain ratio feature weighting}
1607 \subsection{Chi-squared and shared variance feature weighting}
1677 \subsection{Modified value difference and Jeffrey divergence metrics}
1786 \subsection{Dot-product and cosine metrics}
1836 \subsection{Distance-weighted class voting}
1971 \subsection{Tie breaking}
1995 \subsection{Exemplar weighting}
H A DTimbl_6.4_Manual.tex1501 \subsection{The Overlap metric}
1576 \subsection{Information-gain and gain ratio feature weighting}
1677 \subsection{Chi-squared and shared variance feature weighting}
1747 \subsection{Modified value difference, Jensen-Shannon divergence, and Jeffrey divergence metrics}
1861 \subsection{Dot-product and cosine metrics}
1911 \subsection{Distance-weighted class voting}
2046 \subsection{Tie breaking}
2070 \subsection{Exemplar weighting}
/dports/www/qt5-webengine/qtwebengine-everywhere-src-5.15.2/src/3rdparty/chromium/media/learning/common/
H A Dlearning_session.cc8 namespace learning { namespace
H A Dfeature_library.cc8 namespace learning { namespace
H A Dlearning_task.cc11 namespace learning { namespace
H A Dfeature_dictionary.cc8 namespace learning { namespace
/dports/www/qt5-webengine/qtwebengine-everywhere-src-5.15.2/src/3rdparty/chromium/media/learning/impl/
H A Dfeature_provider.cc8 namespace learning { namespace
H A Dvoting_ensemble.cc8 namespace learning { namespace
H A Dfisher_iris_dataset.cc184 namespace learning { namespace
H A Dextra_trees_trainer.cc14 namespace learning { namespace
/dports/www/chromium-legacy/chromium-88.0.4324.182/media/learning/impl/
H A Dfeature_provider.cc8 namespace learning { namespace
H A Dvoting_ensemble.cc8 namespace learning { namespace
H A Dfisher_iris_dataset.cc184 namespace learning { namespace
H A Dextra_trees_trainer.cc14 namespace learning { namespace
/dports/www/chromium-legacy/chromium-88.0.4324.182/media/learning/common/
H A Dlearning_session.cc8 namespace learning { namespace
H A Dfeature_library.cc8 namespace learning { namespace
H A Dlearning_task.cc11 namespace learning { namespace
/dports/science/py-scikit-optimize/scikit-optimize-0.9.0/doc/modules/
H A Dlearning.rst3 .. _learning: target
/dports/science/agrum/aGrUM-29e540d8169268e8fe5d5c69bc4b2b1290f12320/src/agrum/BN/learning/paramUtils/
H A DDAG2BNLearner.cpp33 namespace learning {} /* namespace learning */ namespace
/dports/math/py-pandas/pandas-1.2.5/doc/source/
H A Decosystem.rst59 `pandas-tfrecords <https://pypi.org/project/pandas-tfrecords/>`__
64 `Statsmodels <https://www.statsmodels.org/>`__
72 `sklearn-pandas <https://github.com/paulgb/sklearn-pandas>`__
78 `Featuretools <https://github.com/featuretools/featuretools/>`__
83 `Compose <https://github.com/FeatureLabs/compose>`__
/dports/science/agrum/aGrUM-29e540d8169268e8fe5d5c69bc4b2b1290f12320/src/agrum/BN/learning/aprioris/
H A DaprioriTypes.cpp32 namespace learning { namespace
/dports/math/R/R-4.1.2/src/library/datasets/data/
H A Dattitude.R8 learning = c(39, 54, 69, 47, 66, 44, 56, 55, 67, 47, 58, 39, 42, 45, 72, nameattr in c
/dports/math/libRmath/R-4.1.1/src/library/datasets/data/
H A Dattitude.R8 learning = c(39, 54, 69, 47, 66, 44, 56, 55, 67, 47, 58, 39, 42, 45, 72, nameattr in c

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