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Support Vector Machines — scikit-learn 1.8.0 do...
Examples concerning the sklearn.svm module. One-class SVM with non-linear kernel (RBF) Plot classification boundaries with different SVM Kernels Plot different SVM classifiers in the iris dataset P...scikit-learn.org/stable/auto_examples/svm/index.html -
Version 0.17 — scikit-learn 1.8.0 documentation
Version 0.17.1: February 18, 2016 Changelog: Bug fixes: Upgrade vendored joblib to version 0.9.4 that fixes an important bug in joblib.Parallel that can silently yield to wrong results when working...scikit-learn.org/stable/whats_new/v0.17.html -
2.2. Manifold learning — scikit-learn 1.8.0 doc...
Look for the bare necessities, The simple bare necessities, Forget about your worries and your strife, I mean the bare necessities, Old Mother Nature’s recipes, That bring the bare necessities of l...scikit-learn.org/stable/modules/manifold.html -
Compare cross decomposition methods — scikit-le...
Simple usage of various cross decomposition algorithms: PLSCanonical, PLSRegression, with multivariate response, a.k.a. PLS2, PLSRegression, with univariate response, a.k.a. PLS1, CCA. Given 2 mult...scikit-learn.org/stable/auto_examples/cross_decomposition/plot_compare_cross_decomposition.html -
Decision Tree Regression with AdaBoost — scikit...
A decision tree is boosted using the AdaBoost.R2 1 algorithm on a 1D sinusoidal dataset with a small amount of Gaussian noise. 299 boosts (300 decision trees) is compared with a single decision tre...scikit-learn.org/stable/auto_examples/ensemble/plot_adaboost_regression.html -
Hierarchical clustering with and without struct...
This example demonstrates hierarchical clustering with and without connectivity constraints. It shows the effect of imposing a connectivity graph to capture local structure in the data. Without con...scikit-learn.org/stable/auto_examples/cluster/plot_ward_structured_vs_unstructured.html -
Gaussian Mixture Model Ellipsoids — scikit-lear...
Plot the confidence ellipsoids of a mixture of two Gaussians obtained with Expectation Maximisation ( GaussianMixture class) and Variational Inference ( BayesianGaussianMixture class models with a ...scikit-learn.org/stable/auto_examples/mixture/plot_gmm.html -
Post pruning decision trees with cost complexit...
The DecisionTreeClassifier provides parameters such as min_samples_leaf and max_depth to prevent a tree from overfitting. Cost complexity pruning provides another option to control the size of a tr...scikit-learn.org/stable/auto_examples/tree/plot_cost_complexity_pruning.html -
Model selection with Probabilistic PCA and Fact...
Probabilistic PCA and Factor Analysis are probabilistic models. The consequence is that the likelihood of new data can be used for model selection and covariance estimation. Here we compare PCA and...scikit-learn.org/stable/auto_examples/decomposition/plot_pca_vs_fa_model_selection.html -
Comparing Random Forests and Histogram Gradient...
In this example we compare the performance of Random Forest (RF) and Histogram Gradient Boosting (HGBT) models in terms of score and computation time for a regression dataset, though all the concep...scikit-learn.org/stable/auto_examples/ensemble/plot_forest_hist_grad_boosting_comparison.html