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linear_model.rst.txt
array([[1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 1]]) >>>...1.e-05, 1.e-04, 1.e-03, 1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03,...scikit-learn.org/stable/_sources/modules/linear_model.rst.txt -
governance.rst.txt
“about” page: Requires +1 by a maintainer, no -1 by a maintainer (lazy...changes** require +1 by two maintainers, no -1 by a maintainer (lazy...scikit-learn.org/stable/_sources/governance.rst.txt -
model_evaluation.rst.txt
1, 1, 1, 1, 1] >>> y_pred = [0, 1, 0, 1, 0, 1, 0, 1] >>>...0, 0, 1, 1, 1, 1, 1] >>> y_pred = [0, 1, 0, 1, 0, 1, 0, 1] >>>...scikit-learn.org/stable/_sources/modules/model_evaluation.rst.txt -
feature_selection.rst.txt
1], [0, 1, 0], [1, 0, 0], [0, 1, 1], [0, 1, 0], [0, 1, 1]]...0], [0, 0], [1, 1], [1, 0], [1, 1]]) As expected, ``VarianceThreshold``...scikit-learn.org/stable/_sources/modules/feature_selection.rst.txt -
index.rst.txt
the release of scikit-learn 1.1! Many bug fixes and improvements...glr_plot_release_highlights_1_1_0_thumb.png :alt: :ref:`sphx...scikit-learn.org/stable/_sources/auto_examples/index.rst.txt -
user_guide.rst.txt
toctree:: :numbered: :maxdepth: 1 metadata_routing.rst...scikit-learn.org/stable/_sources/user_guide.rst.txt -
test.mm
1"> <node TEXT="Lorem ipsum. (ロ...raw.githubusercontent.com/codelibs/fess-testdata/master/xml/test.mm -
clustering.rst.txt
1, 1, 1] >>> labels_pred = [0, 0, 1, 1, 2, 2] >>>...= [0, 0, 0, 1, 1, 1] >>> labels_pred = [0, 0, 1, 1, 2, 2] >>>...scikit-learn.org/stable/_sources/modules/clustering.rst.txt -
getting_started.rst.txt
dataset is easy array([1., 1., 1., 1., 1.]) Automatic parameter...ransform(X) array([[-1., 1.], [ 1., -1.]]) Sometimes, you want...scikit-learn.org/stable/_sources/getting_started.rst.txt -
grid_search.rst.txt
{'C': [1, 10, 100, 1000], 'kernel': ['linear']}, {'C': [1, 10,...``loguniform(1, 100)`` can be used instead of ``[1, 10, 100]``....scikit-learn.org/stable/_sources/modules/grid_search.rst.txt