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sklearn.multiclass — scikit-learn 1.8.0 d...
Multiclass learning algorithms. one-vs-the-rest / one-vs-all, one-vs-one, error correcting output codes. The estimators provided in this module are meta-estimators: they require a base estimator to...scikit-learn.org/stable/api/sklearn.multiclass.html -
sklearn.naive_bayes — scikit-learn 1.8.0 ...
Naive Bayes algorithms. These are supervised learning methods based on applying Bayes’ theorem with strong (naive) feature independence assumptions. User guide. See the Naive Bayes section for furt...scikit-learn.org/stable/api/sklearn.naive_bayes.html -
Set up your development environment — sci...
git # add --depth 1 if your connection is slow and...only supported in pip version 23.1 or later. To upgrade pip to a...scikit-learn.org/stable/developers/development_setup.html -
7. Dataset transformations — scikit-learn...
1. Pipelines and composite estimators 7.1.1. Pipeline:...estimators 7.1.2. Transforming target in regression 7.1.3. FeatureUnion:...scikit-learn.org/stable/data_transforms.html -
API Reference — scikit-learn 1.8.0 docume...
Scale each feature to the [-1, 1] range without breaking the...(Kluger, 2003) [R2af9f5762274-1] . sklearn.cluster SpectralClustering...scikit-learn.org/stable/api/index.html -
Poisson regression and non-normal loss — ...
Region 0 1.0 1 0.10000 D 5 0 55 50 B12 'Regular' 1217 R82 1 3.0 1...1 0.77000 D 5 0 55 50 B12 'Regular' 1217 R82 2 5.0 1 0.75000...scikit-learn.org/stable/auto_examples/linear_model/plot_poisson_regression_non_normal_loss.html -
Effect of transforming the targets in regressio...
subplots ( 1 , 2 ) ax0 . hist ( y , bins =..."Synthetic data" , y = 1.05 ) plt . tight_layout () X_train...scikit-learn.org/stable/auto_examples/compose/plot_transformed_target.html -
Image denoising using dictionary learning ̵...
raccoon_face [ 1 :: 4 , :: 4 ] + raccoon_face [:: 4 , 1 :: 4 ] + raccoon_face...raccoon_face [ 1 :: 4 , 1 :: 4 ] ) raccoon_face /= 4.0 height...scikit-learn.org/stable/auto_examples/decomposition/plot_image_denoising.html -
WhiteKernel — scikit-learn 1.8.0 document...
WhiteKernel ( noise_level = 1.0 , noise_level_bounds = (1e-05,...: noise_level float, default=1.0 Parameter controlling the noise...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.WhiteKernel.html -
7.9. Transforming the prediction target (y) ...
1, 1, 1], [0, 0, 1, 0, 0], [1, 1, 0, 1, 0], [1, 1, 1, 1,...1, 1], [1, 1, 1, 0, 0]]) For more information about multilabel...scikit-learn.org/stable/modules/preprocessing_targets.html