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CompoundKernel — scikit-learn 1.7.0 documentation
theta ) [1.09861229 0.69314718] __call__...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.CompoundKernel.html -
7.5. Unsupervised dimensionality reduction — sc...
1. PCA: principal component analysis...scikit-learn.org/stable/modules/unsupervised_reduction.html -
Multilabel classification — scikit-learn 1.7.0 ...
1 ]) max_y = np . max ( X [:, 1 ]) classif = OneVsRestClassifier...[:, 1 ]) . nonzero () plt . scatter ( X [:, 0 ], X [:, 1 ], s...scikit-learn.org/stable/auto_examples/miscellaneous/plot_multilabel.html -
Partial Dependence and Individual Conditional E...
rstride = 1 , cstride = 1 , cmap = plt . cm . BuPu...scikit-learn 1.2 Release Highlights for scikit-learn 1.2 Gallery...scikit-learn.org/stable/auto_examples/inspection/plot_partial_dependence.html -
Quantile regression — scikit-learn 1.7.0 docume...
scikit-learn 1.1 Release Highlights for scikit-learn 1.1 Lagged features...axs [ 1 , 0 ] . set_xlabel ( "Residuals" ) _ = axs [ 1 , 1 ] ....scikit-learn.org/stable/auto_examples/linear_model/plot_quantile_regression.html -
is_multilabel — scikit-learn 1.7.0 documentation
1 , 0 , 1 ]) False >>> is_multilabel ([[ 1 ], [ 0 ,...is_multilabel ( np . array ([[ 1 , 0 ], [ 0 , 0 ]])) True >>> is_multilabel...scikit-learn.org/stable/modules/generated/sklearn.utils.multiclass.is_multilabel.html -
Post-tuning the decision threshold for cost-sen...
array([1.e-06, 1.e-05, 1.e-04, 1.e-03, 1.e-02, 1.e-01, 1.e+00,...1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06])}, scoring='neg_log_loss')...scikit-learn.org/stable/auto_examples/model_selection/plot_cost_sensitive_learning.html -
Getting Started — scikit-learn 1.7.0 documentation
dataset is easy array([1., 1., 1., 1., 1.]) Automatic parameter...transform ( X ) array([[-1., 1.], [ 1., -1.]]) Sometimes, you want...scikit-learn.org/stable/getting_started.html -
t-SNE: The effect of various perplexity values ...
reshape ( - 1 , 1 ), yy . ravel () . reshape ( - 1 , 1 ), ] ) color...perplexities ): ax = subplots [ 1 ][ i + 1 ] t0 = time () tsne = manifold...scikit-learn.org/stable/auto_examples/manifold/plot_t_sne_perplexity.html -
EmpiricalCovariance — scikit-learn 1.7.0 docume...
Added in version 1.0. See also EllipticEnvelope An...scikit-learn.org/stable/modules/generated/sklearn.covariance.EmpiricalCovariance.html