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Decomposition — scikit-learn 1.5.2 documentation
Examples concerning the sklearn.decomposition module. Blind source separation using FastICA Comparison of LDA and PCA 2D projection of Iris dataset Faces dataset decompositions Factor Analysis (wit...scikit-learn.org/stable/auto_examples/decomposition/index.html -
LocallyLinearEmbedding — scikit-learn 1.5.2 doc...
Gallery examples: Visualizing the stock market structure Comparison of Manifold Learning methods Manifold Learning methods on a severed sphere Manifold learning on handwritten digits: Locally Linea...scikit-learn.org/stable/modules/generated/sklearn.manifold.LocallyLinearEmbedding.html -
LinearDiscriminantAnalysis — scikit-learn 1.5.2...
Gallery examples: Linear and Quadratic Discriminant Analysis with covariance ellipsoid Normal, Ledoit-Wolf and OAS Linear Discriminant Analysis for classification Comparison of LDA and PCA 2D proje...scikit-learn.org/stable/modules/generated/sklearn.discriminant_analysis.LinearDiscriminantAnalysi... -
Clustering — scikit-learn 1.5.2 documentation
Examples concerning the sklearn.cluster module. A demo of K-Means clustering on the handwritten digits data A demo of structured Ward hierarchical clustering on an image of coins A demo of the mean...scikit-learn.org/stable/auto_examples/cluster/index.html -
Preprocessing — scikit-learn 1.5.2 documentation
Examples concerning the sklearn.preprocessing module. Compare the effect of different scalers on data with outliers Comparing Target Encoder with Other Encoders Demonstrating the different strategi...scikit-learn.org/stable/auto_examples/preprocessing/index.html -
TSNE — scikit-learn 1.5.2 documentation
Gallery examples: Comparison of Manifold Learning methods Manifold Learning methods on a severed sphere Manifold learning on handwritten digits: Locally Linear Embedding, Isomap… Swiss Roll And Swi...scikit-learn.org/stable/modules/generated/sklearn.manifold.TSNE.html -
PoissonRegressor — scikit-learn 1.5.2 documenta...
Gallery examples: Release Highlights for scikit-learn 0.23 Poisson regression and non-normal loss Tweedie regression on insurance claimsscikit-learn.org/stable/modules/generated/sklearn.linear_model.PoissonRegressor.html -
SGDOneClassSVM — scikit-learn 1.5.2 documentation
Gallery examples: One-Class SVM versus One-Class SVM using Stochastic Gradient Descent Comparing anomaly detection algorithms for outlier detection on toy datasetsscikit-learn.org/stable/modules/generated/sklearn.linear_model.SGDOneClassSVM.html -
clone — scikit-learn 1.5.2 documentation
Skip to main content Back to top Ctrl + K GitHub clone # sklearn.base. clone ( estimator , * , safe = True ) [source]...scikit-learn.org/stable/modules/generated/sklearn.base.clone.html -
DummyClassifier — scikit-learn 1.5.2 documentation
Gallery examples: Multi-class AdaBoosted Decision Trees Class Likelihood Ratios to measure classification performance Post-tuning the decision threshold for cost-sensitive learningscikit-learn.org/stable/modules/generated/sklearn.dummy.DummyClassifier.html