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Feature Selection — scikit-learn 1.7.2 do...
Examples concerning the sklearn.feature_selection module. Comparison of F-test and mutual information Model-based and sequential feature selection Pipeline ANOVA SVM Recursive feature elimination R...scikit-learn.org/stable/auto_examples/feature_selection/index.html -
Multiclass methods — scikit-learn 1.7.2 d...
Examples concerning the sklearn.multiclass module. Overview of multiclass training meta-estimatorsscikit-learn.org/stable/auto_examples/multiclass/index.html -
Multioutput methods — scikit-learn 1.7.2 ...
Examples concerning the sklearn.multioutput module. Multilabel classification using a classifier chainscikit-learn.org/stable/auto_examples/multioutput/index.html -
Inductive Clustering — scikit-learn 1.7.2...
cluster_std = [ 1.0 , 1.0 , 0.5 ], centers = [( - 5.... scatter ( X [:, 0 ], X [:, 1 ], c = color , alpha = alpha ,...scikit-learn.org/stable/auto_examples/cluster/plot_inductive_clustering.html -
sklearn.preprocessing — scikit-learn 1.7....
Scale each feature to the [-1, 1] range without breaking the...data (set feature values to 0 or 1) according to a threshold. FunctionTransformer...scikit-learn.org/stable/api/sklearn.preprocessing.html -
Related Projects — scikit-learn 1.7.2 doc...
As of scikit-learn version 1.3.0, there is HDBSCAN . Pre-processing...encoders. As of scikit-learn version 1.3.0, there is TargetEncoder ....scikit-learn.org/stable/related_projects.html -
2. Unsupervised learning — scikit-learn 1...
1. Gaussian mixture models 2.1.1. Gaussian Mixture 2.1.2....Mixture 2.2. Manifold learning 2.2.1. Introduction 2.2.2. Isomap 2.2.3....scikit-learn.org/stable/unsupervised_learning.html -
SVM Margins Example — scikit-learn 1.7.2 ...
0 ] * 20 + [ 1 ] * 20 # figure number fignum = 1 # fit the model...is sqrt(1+a^2) away vertically in # 2-d. margin = 1 / np . sqrt...scikit-learn.org/stable/auto_examples/svm/plot_svm_margin.html -
Polynomial and Spline interpolation — sci...
n_samples rows and degree + 1 columns: [[ 1 , x_0 , x_0 ** 2 , x_0...( X_plot )) axes [ 1 ] . legend ( axes [ 1 ] . lines , [ f "spline...scikit-learn.org/stable/auto_examples/linear_model/plot_polynomial_interpolation.html -
Gradient Boosting regression — scikit-lea...
subplot ( 1 , 1 , 1 ) plt . title ( "Deviance"...12 , 6 )) plt . subplot ( 1 , 2 , 1 ) plt . barh ( pos , feature_importance...scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_regression.html