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7.1. Pipelines and composite estimators —...
To build a composite estimator, transformers are usually combined with other transformers or with predictors(such as classifiers or regressors). The most common tool used for composing estimators i...scikit-learn.org/stable/modules/compose.html -
2.1. Gaussian mixture models — scikit-lea...
sklearn.mixture is a package which enables one to learn Gaussian Mixture Models (diagonal, spherical, tied and full covariance matrices supported), sample them, and estimate them from data. Facilit...scikit-learn.org/stable/modules/mixture.html -
11. Common pitfalls and recommended practices &...
The purpose of this chapter is to illustrate some common pitfalls and anti-patterns that occur when using scikit-learn. It provides examples of what not to do, along with a corresponding correct ex...scikit-learn.org/stable/common_pitfalls.html -
Face completion with a multi-output estimators ...
This example shows the use of multi-output estimator to complete images. The goal is to predict the lower half of a face given its upper half. The first column of images shows true faces. The next ...scikit-learn.org/stable/auto_examples/miscellaneous/plot_multioutput_face_completion.html -
Factor Analysis (with rotation) to visualize pa...
Investigating the Iris dataset, we see that sepal length, petal length and petal width are highly correlated. Sepal width is less redundant. Matrix decomposition techniques can uncover these latent...scikit-learn.org/stable/auto_examples/decomposition/plot_varimax_fa.html -
Demo of affinity propagation clustering algorit...
Reference: Brendan J. Frey and Delbert Dueck, “Clustering by Passing Messages Between Data Points”, Science Feb. 2007 Generate sample data: Compute Affinity Propagation: Plot result: Total running ...scikit-learn.org/stable/auto_examples/cluster/plot_affinity_propagation.html -
Image denoising using dictionary learning ̵...
An example comparing the effect of reconstructing noisy fragments of a raccoon face image using firstly online Dictionary Learning and various transform methods. The dictionary is fitted on the dis...scikit-learn.org/stable/auto_examples/decomposition/plot_image_denoising.html -
Manifold Learning methods on a severed sphere &...
An application of the different Manifold learning techniques on a spherical data-set. Here one can see the use of dimensionality reduction in order to gain some intuition regarding the manifold lea...scikit-learn.org/stable/auto_examples/manifold/plot_manifold_sphere.html -
Comparison of kernel ridge regression and SVR &...
Both kernel ridge regression (KRR) and SVR learn a non-linear function by employing the kernel trick, i.e., they learn a linear function in the space induced by the respective kernel which correspo...scikit-learn.org/stable/auto_examples/miscellaneous/plot_kernel_ridge_regression.html -
Comparison of F-test and mutual information ...
This example illustrates the differences between univariate F-test statistics and mutual information. We consider 3 features x_1, x_2, x_3 distributed uniformly over [0, 1], the target depends on t...scikit-learn.org/stable/auto_examples/feature_selection/plot_f_test_vs_mi.html