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NuSVC — scikit-learn 1.8.0 documentation

Skip to main content Back to top Ctrl + K GitHub Choose version NuSVC # class sklearn.svm. NuSVC ( * , nu = 0.5 , ker...

scikit-learn.org/stable/modules/generated/sklearn.svm.NuSVC.html

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Mon Mar 23 20:39:20 UTC 2026
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check_is_fitted — scikit-learn 1.8.0 documentation

Gallery examples: Inductive Clustering__sklearn_is_fitted__ as Developer API Metadata Routing

scikit-learn.org/stable/modules/generated/sklearn.utils.validation.check_is_fitted.html

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Mon Mar 23 20:39:20 UTC 2026
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ExtraTreeClassifier — scikit-learn 1.8.0 docume...

Skip to main content Back to top Ctrl + K GitHub Choose version ExtraTreeClassifier # class sklearn.tree. ExtraTreeCl...

scikit-learn.org/stable/modules/generated/sklearn.tree.ExtraTreeClassifier.html

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Mon Mar 23 20:39:21 UTC 2026
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BernoulliNB — scikit-learn 1.8.0 documentation

Gallery examples: Hashing feature transformation using Totally Random Trees

scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.BernoulliNB.html

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Mon Mar 23 20:39:23 UTC 2026
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MaxAbsScaler — scikit-learn 1.8.0 documentation

Gallery examples: Compare the effect of different scalers on data with outliers

scikit-learn.org/stable/modules/generated/sklearn.preprocessing.MaxAbsScaler.html

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Mon Mar 23 20:39:23 UTC 2026
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KernelCenterer — scikit-learn 1.8.0 documentation

Skip to main content Back to top Ctrl + K GitHub Choose version KernelCenterer # class sklearn.preprocessing. KernelC...

scikit-learn.org/stable/modules/generated/sklearn.preprocessing.KernelCenterer.html

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Mon Mar 23 20:39:21 UTC 2026
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check_random_state — scikit-learn 1.8.0 documen...

Gallery examples: Empirical evaluation of the impact of k-means initialization MNIST classification using multinomial logistic + L1 Manifold Learning methods on a severed sphere Isotonic Regression...

scikit-learn.org/stable/modules/generated/sklearn.utils.check_random_state.html

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Mon Mar 23 20:39:21 UTC 2026
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add_dummy_feature — scikit-learn 1.8.0 document...

Skip to main content Back to top Ctrl + K GitHub Choose version add_dummy_feature # sklearn.preprocessing. add_dummy_...

scikit-learn.org/stable/modules/generated/sklearn.preprocessing.add_dummy_feature.html

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Mon Mar 23 20:39:23 UTC 2026
12.9K bytes
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SVR — scikit-learn 1.8.0 documentation

Gallery examples: Prediction Latency Comparison of kernel ridge regression and SVR Support Vector Regression (SVR) using linear and non-linear kernels

scikit-learn.org/stable/modules/generated/sklearn.svm.SVR.html

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Mon Mar 23 20:39:23 UTC 2026
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LinearSVR — scikit-learn 1.8.0 documentation

Skip to main content Back to top Ctrl + K GitHub Choose version LinearSVR # class sklearn.svm. LinearSVR ( * , epsilo...

scikit-learn.org/stable/modules/generated/sklearn.svm.LinearSVR.html

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Mon Mar 23 20:39:20 UTC 2026
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