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clear_data_home — scikit-learn 1.7.1 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version clear_data_home # sklearn.datasets. clear_data_home (...scikit-learn.org/stable/modules/generated/sklearn.datasets.clear_data_home.html -
sklearn.discriminant_analysis — scikit-learn 1....
Linear and quadratic discriminant analysis. User guide. See the Linear and Quadratic Discriminant Analysis section for further details.scikit-learn.org/stable/api/sklearn.discriminant_analysis.html -
make_spd_matrix — scikit-learn 1.7.1 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version make_spd_matrix # sklearn.datasets. make_spd_matrix (...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_spd_matrix.html -
sklearn.linear_model — scikit-learn 1.7.1 docum...
A variety of linear models. User guide. See the Linear Models section for further details. The following subsections are only rough guidelines: the same estimator can fall into multiple categories,...scikit-learn.org/stable/api/sklearn.linear_model.html -
sklearn.semi_supervised — scikit-learn 1.7.1 do...
Semi-supervised learning algorithms. These algorithms utilize small amounts of labeled data and large amounts of unlabeled data for classification tasks. User guide. See the Semi-supervised learnin...scikit-learn.org/stable/api/sklearn.semi_supervised.html -
Non-negative least squares — scikit-learn 1.7.1...
In this example, we fit a linear model with positive constraints on the regression coefficients and compare the estimated coefficients to a classic linear regression. Generate some random data Spli...scikit-learn.org/stable/auto_examples/linear_model/plot_nnls.html -
Plotting Cross-Validated Predictions — scikit-l...
ax = axs [ 1 ], random_state = 0 , ) axs [ 1 ] . set_title...scikit-learn 1.2 Release Highlights for scikit-learn 1.2 Gallery...scikit-learn.org/stable/auto_examples/model_selection/plot_cv_predict.html -
spectral_embedding — scikit-learn 1.7.1 documen...
Added in version 1.2: Added ‘auto’ option. norm_laplacian...scikit-learn.org/stable/modules/generated/sklearn.manifold.spectral_embedding.html -
Feature Selection — scikit-learn 1.7.1 document...
Examples concerning the sklearn.feature_selection module. Comparison of F-test and mutual information Model-based and sequential feature selection Pipeline ANOVA SVM Recursive feature elimination R...scikit-learn.org/stable/auto_examples/feature_selection/index.html -
Decision Trees — scikit-learn 1.7.1 documentation
Examples concerning the sklearn.tree module. Decision Tree Regression Plot the decision surface of decision trees trained on the iris dataset Post pruning decision trees with cost complexity prunin...scikit-learn.org/stable/auto_examples/tree/index.html