/dports/science/py-scikit-learn/scikit-learn-1.0.2/doc/computing/ |
H A D | scaling_strategies.rst | 27 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 D | decomposition.rst | 533 … |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 D | Timbl_6.3_Manual.tex | 1433 \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 D | Timbl_6.4_Manual.tex | 1501 \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 D | learning_session.cc | 8 namespace learning { namespace
|
H A D | feature_library.cc | 8 namespace learning { namespace
|
H A D | learning_task.cc | 11 namespace learning { namespace
|
H A D | feature_dictionary.cc | 8 namespace learning { namespace
|
/dports/www/qt5-webengine/qtwebengine-everywhere-src-5.15.2/src/3rdparty/chromium/media/learning/impl/ |
H A D | feature_provider.cc | 8 namespace learning { namespace
|
H A D | voting_ensemble.cc | 8 namespace learning { namespace
|
H A D | fisher_iris_dataset.cc | 184 namespace learning { namespace
|
H A D | extra_trees_trainer.cc | 14 namespace learning { namespace
|
/dports/www/chromium-legacy/chromium-88.0.4324.182/media/learning/impl/ |
H A D | feature_provider.cc | 8 namespace learning { namespace
|
H A D | voting_ensemble.cc | 8 namespace learning { namespace
|
H A D | fisher_iris_dataset.cc | 184 namespace learning { namespace
|
H A D | extra_trees_trainer.cc | 14 namespace learning { namespace
|
/dports/www/chromium-legacy/chromium-88.0.4324.182/media/learning/common/ |
H A D | learning_session.cc | 8 namespace learning { namespace
|
H A D | feature_library.cc | 8 namespace learning { namespace
|
H A D | learning_task.cc | 11 namespace learning { namespace
|
/dports/science/py-scikit-optimize/scikit-optimize-0.9.0/doc/modules/ |
H A D | learning.rst | 3 .. _learning: target
|
/dports/science/agrum/aGrUM-29e540d8169268e8fe5d5c69bc4b2b1290f12320/src/agrum/BN/learning/paramUtils/ |
H A D | DAG2BNLearner.cpp | 33 namespace learning {} /* namespace learning */ namespace
|
/dports/math/py-pandas/pandas-1.2.5/doc/source/ |
H A D | ecosystem.rst | 59 `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 D | aprioriTypes.cpp | 32 namespace learning { namespace
|
/dports/math/R/R-4.1.2/src/library/datasets/data/ |
H A D | attitude.R | 8 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 D | attitude.R | 8 learning = c(39, 54, 69, 47, 66, 44, 56, 55, 67, 47, 58, 39, 42, 45, 72, nameattr in c
|