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Multi-dimensional scaling — scikit-learn 1.7.0 ...
An illustration of the metric and non-metric MDS on generated noisy data. Dataset preparation: We start by uniformly generating 20 points in a 2D space. Now we compute pairwise distances between al...scikit-learn.org/stable/auto_examples/manifold/plot_mds.html -
Lasso on dense and sparse data — scikit-learn 1...
We show that linear_model.Lasso provides the same results for dense and sparse data and that in the case of sparse data the speed is improved. Comparing the two Lasso implementations on Dense data:...scikit-learn.org/stable/auto_examples/linear_model/plot_lasso_dense_vs_sparse_data.html -
Density Estimation for a Gaussian mixture — sci...
Plot the density estimation of a mixture of two Gaussians. Data is generated from two Gaussians with different centers and covariance matrices. Total running time of the script:(0 minutes 0.121 sec...scikit-learn.org/stable/auto_examples/mixture/plot_gmm_pdf.html -
Version 0.17 — scikit-learn 1.7.0 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 -
Outlier detection with Local Outlier Factor (LO...
The Local Outlier Factor (LOF) algorithm is an unsupervised anomaly detection method which computes the local density deviation of a given data point with respect to its neighbors. It considers as ...scikit-learn.org/stable/auto_examples/neighbors/plot_lof_outlier_detection.html -
Nested versus non-nested cross-validation — sci...
This example compares non-nested and nested cross-validation strategies on a classifier of the iris data set. Nested cross-validation (CV) is often used to train a model in which hyperparameters al...scikit-learn.org/stable/auto_examples/model_selection/plot_nested_cross_validation_iris.html -
Principal Component Analysis (PCA) on Iris Data...
This example shows a well known decomposition technique known as Principal Component Analysis (PCA) on the Iris dataset. This dataset is made of 4 features: sepal length, sepal width, petal length,...scikit-learn.org/stable/auto_examples/decomposition/plot_pca_iris.html -
Probabilistic predictions with Gaussian process...
This example illustrates the predicted probability of GPC for an RBF kernel with different choices of the hyperparameters. The first figure shows the predicted probability of GPC with arbitrarily c...scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpc.html -
Release Highlights for scikit-learn 1.6 — sciki...
We are pleased to announce the release of scikit-learn 1.6! Many bug fixes and improvements were added, as well as some key new features. Below we detail the highlights of this release. For an exha...scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_6_0.html -
Receiver Operating Characteristic (ROC) with cr...
This example presents how to estimate and visualize the variance of the Receiver Operating Characteristic (ROC) metric using cross-validation. ROC curves typically feature true positive rate (TPR) ...scikit-learn.org/stable/auto_examples/model_selection/plot_roc_crossval.html