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all_displays — scikit-learn 1.7.2 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version all_displays # sklearn.utils.discovery. all_displays ...scikit-learn.org/stable/modules/generated/sklearn.utils.discovery.all_displays.html -
load_digits — scikit-learn 1.7.2 documentation
Gallery examples: Recognizing hand-written digits Feature agglomeration Various Agglomerative Clustering on a 2D embedding of digits A demo of K-Means clustering on the handwritten digits data Sele...scikit-learn.org/stable/modules/generated/sklearn.datasets.load_digits.html -
sklearn.preprocessing — scikit-learn 1.7.2 docu...
Methods for scaling, centering, normalization, binarization, and more. User guide. See the Preprocessing data section for further details.scikit-learn.org/stable/api/sklearn.preprocessing.html -
r_regression — scikit-learn 1.7.2 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version r_regression # sklearn.feature_selection. r_regressio...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.r_regression.html -
Kernel Density Estimation — scikit-learn 1.7.2 ...
This example shows how kernel density estimation (KDE), a powerful non-parametric density estimation technique, can be used to learn a generative model for a dataset. With this generative model in ...scikit-learn.org/stable/auto_examples/neighbors/plot_digits_kde_sampling.html -
Missing Value Imputation — scikit-learn 1.7.2 d...
Examples concerning the sklearn.impute module. Imputing missing values before building an estimator Imputing missing values with variants of IterativeImputerscikit-learn.org/stable/auto_examples/impute/index.html -
Support Vector Machines — scikit-learn 1.7.2 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 -
permutation_importance — scikit-learn 1.7.2 doc...
Gallery examples: Feature importances with a forest of trees Gradient Boosting regression Permutation Importance vs Random Forest Feature Importance (MDI) Permutation Importance with Multicollinear...scikit-learn.org/stable/modules/generated/sklearn.inspection.permutation_importance.html -
cosine_similarity — scikit-learn 1.7.2 document...
Gallery examples: Plot classification boundaries with different SVM Kernelsscikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.cosine_similarity.html -
sklearn.exceptions — scikit-learn 1.7.2 documen...
Custom warnings and errors used across scikit-learn.scikit-learn.org/stable/api/sklearn.exceptions.html