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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 -
SVM: Separating hyperplane for unbalanced class...
Find the optimal separating hyperplane using an SVC for classes that are unbalanced. We first find the separating plane with a plain SVC and then plot (dashed) the separating hyperplane with automa...scikit-learn.org/stable/auto_examples/svm/plot_separating_hyperplane_unbalanced.html -
Plot classification boundaries with different S...
This example shows how different kernels in a SVC(Support Vector Classifier) influence the classification boundaries in a binary, two-dimensional classification problem. SVCs aim to find a hyperpla...scikit-learn.org/stable/auto_examples/svm/plot_svm_kernels.html -
3.2. Tuning the hyper-parameters of an estimato...
scikit-learn.org/stable/modules/grid_search.html -
assert_all_finite — scikit-learn 1.7.2 document...
will link to the imputer documentation. Examples >>> from sklearn.utils...scikit-learn.org/stable/modules/generated/sklearn.utils.assert_all_finite.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 -
7. Dataset transformations — scikit-learn 1.7.2...
scikit-learn provides a library of transformers, which may clean (see Preprocessing data), reduce (see Unsupervised dimensionality reduction), expand (see Kernel Approximation) or generate (see Fea...scikit-learn.org/stable/data_transforms.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 -
img_to_graph — scikit-learn 1.7.2 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version img_to_graph # sklearn.feature_extraction.image. img_...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.image.img_to_graph.html