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sklearn.datasets — scikit-learn 1.7.2 doc...
Utilities to load popular datasets and artificial data generators. User guide. See the Dataset loading utilities section for further details. Loaders: Sample generators:scikit-learn.org/stable/api/sklearn.datasets.html -
sklearn.compose — scikit-learn 1.7.2 docu...
Meta-estimators for building composite models with transformers. In addition to its current contents, this module will eventually be home to refurbished versions of Pipeline and FeatureUnion. User ...scikit-learn.org/stable/api/sklearn.compose.html -
sklearn.discriminant_analysis — scikit-le...
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 -
sklearn.gaussian_process — scikit-learn 1...
Gaussian process based regression and classification. User guide. See the Gaussian Processes section for further details. Kernels: A set of kernels that can be combined by operators and used in Gau...scikit-learn.org/stable/api/sklearn.gaussian_process.html -
sklearn.impute — scikit-learn 1.7.2 docum...
Transformers for missing value imputation. User guide. See the Imputation of missing values section for further details.scikit-learn.org/stable/api/sklearn.impute.html -
sklearn.isotonic — scikit-learn 1.7.2 doc...
Isotonic regression for obtaining monotonic fit to data. User guide. See the Isotonic regression section for further details.scikit-learn.org/stable/api/sklearn.isotonic.html -
sklearn.linear_model — scikit-learn 1.7.2...
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 -
Classifier comparison — scikit-learn 1.7....
A comparison of several classifiers in scikit-learn on synthetic datasets. The point of this example is to illustrate the nature of decision boundaries of different classifiers. This should be take...scikit-learn.org/stable/auto_examples/classification/plot_classifier_comparison.html -
Release History — scikit-learn 1.7.2 docu...
Changelogs and release notes for all scikit-learn releases are linked in this page. Version 1.7- Version 1.7.2, Version 1.7.1, Version 1.7.0., Version 1.6- Version 1.6.1, Version 1.6.0., Version 1....scikit-learn.org/stable/whats_new.html -
Covariance estimation — scikit-learn 1.7....
Examples concerning the sklearn.covariance module. Ledoit-Wolf vs OAS estimation Robust covariance estimation and Mahalanobis distances relevance Robust vs Empirical covariance estimate Shrinkage c...scikit-learn.org/stable/auto_examples/covariance/index.html