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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 -
plot_multi_metric_evaluation.rst.txt
1) # Get the regular numpy array...sample_score_mean + sample_score_std, alpha=0.1 if sample == "test" else 0, color=color,...scikit-learn.org/stable/_sources/auto_examples/model_selection/plot_multi_metric_evaluation.rst.txt -
about.rst.txt
btn-warning btn-big sk-donate-btn mb-1" href="https://numfocus.org/d...scikit-learn.org/stable/_sources/about.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 -
cross_validation.rst.txt
[1., 1.], [-1., -1.], [2., 2.]]) >>> y = np.array([0, 1, 0,...3] [0 1] [1 3] [0 2] [1 2] [0 3] [0 3] [1 2] [0 2] [1 3] [0 1]...scikit-learn.org/stable/_sources/modules/cross_validation.rst.txt -
plot_discretization_strategies.rst.txt
8]]) centers_1 = np.array([[0, 0], [3, 1]]) # construct the...len(strategies) + 1, i) ax.scatter(X[:, 0], X[:, 1], edgecolors="k")...scikit-learn.org/stable/_sources/auto_examples/preprocessing/plot_discretization_strategies.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 -
feature_extraction.rst.txt
array([[1, 1, 1, 0, 1, 1, 1, 0], [1, 1, 0, 1, 1, 1, 0, 1]]) In...array([[0, 1, 1, 1, 0, 0, 1, 0, 1], [0, 1, 0, 1, 0, 2, 1, 0, 1], [1,...scikit-learn.org/stable/_sources/modules/feature_extraction.rst.txt