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1.7. Gaussian Processes — scikit-learn 1.6.0 do...
1.7.3. GPC examples # 1.7.3.1. Probabilistic predictions...features exceeds a few dozens. 1.7.1. Gaussian Process Regression...scikit-learn.org/stable/modules/gaussian_process.html -
Isomap — scikit-learn 1.6.0 documentation
Added in version 1.1. n_components int, default=2...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.manifold.Isomap.html -
empirical_covariance — scikit-learn 1.6.0 docum...
>>> X = [[ 1 , 1 , 1 ],[ 1 , 1 , 1 ],[ 1 , 1 , 1 ], ... [ 0 ,...scikit-learn.org/stable/modules/generated/sklearn.covariance.empirical_covariance.html -
6.2. Feature extraction — scikit-learn 1.6.0 do...
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/modules/feature_extraction.html -
make_scorer — scikit-learn 1.6.0 documentation
Added in version 1.4. Deprecated since version 1.6: None is equivalent...scikit-learn 1.5 Release Highlights for scikit-learn 1.5 Features...scikit-learn.org/stable/modules/generated/sklearn.metrics.make_scorer.html -
Release Highlights for scikit-learn 1.2 — sciki...
189830 -1.973554 2.0 1.0 33 -0.416010 2.630382 0.0 1.0 107 1.765012...-0.362176 4.0 3.0 7 -1.021849 0.788808 1.0 1.0 Interaction constraints...scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_2_0.html -
partial_dependence — scikit-learn 1.6.0 documen...
[ 1 , 0 , 0 ]] >>> y = [ 0 , 1 ] >>> from sklearn.ensemble...interacting features (e.g. [(0, 1)] ) for which the partial dependency...scikit-learn.org/stable/modules/generated/sklearn.inspection.partial_dependence.html -
TheilSenRegressor — scikit-learn 1.7.dev0 docum...
since version 1.6: copy_X was deprecated in 1.6 and will be removed...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/dev/modules/generated/sklearn.linear_model.TheilSenRegressor.html -
plot_release_highlights_1_5_0.ipynb
[\n [-1.1, 1.1, 1.1],\n [3.9, -1.2, np.nan],\n [np.nan, 1.3, np.nan],\n...[-0.1, -1.4, -1.4],\n [-4.9, 1.5, -1.5],\n [np.nan, 1.6, 1.6],\n...scikit-learn.org/stable/_downloads/ae2d0a2ad69c5df5b93e5ea5c87d56b2/plot_release_highlights_1_5_0... -
GaussianProcessRegressor — scikit-learn 1.6.0 d...
ConstantKernel(1.0, constant_value_bounds="fixed") * RBF(1.0, lengt...implementation is based on Algorithm 2.1 of [RW2006] . In addition to standard...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.GaussianProcessRegressor.html