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sklearn.ensemble — scikit-learn 1.6.1 documenta...
Ensemble-based methods for classification, regression and anomaly detection. User guide. See the Ensembles: Gradient boosting, random forests, bagging, voting, stacking section for further details.scikit-learn.org/stable/api/sklearn.ensemble.html -
sklearn.multioutput — scikit-learn 1.6.1 docume...
Multioutput regression and classification. The estimators provided in this module are meta-estimators: they require a base estimator to be provided in their constructor. The meta-estimator extends ...scikit-learn.org/stable/api/sklearn.multioutput.html -
sklearn.covariance — scikit-learn 1.6.1 documen...
Methods and algorithms to robustly estimate covariance. They estimate the covariance of features at given sets of points, as well as the precision matrix defined as the inverse of the covariance. C...scikit-learn.org/stable/api/sklearn.covariance.html -
sklearn.inspection — scikit-learn 1.6.1 documen...
Tools for model inspection. User guide. See the Inspection section for further details. Plotting:scikit-learn.org/stable/api/sklearn.inspection.html -
Generalized Linear Models — scikit-learn 1.6.1 ...
Examples concerning the sklearn.linear_model module. Comparing Linear Bayesian Regressors Comparing various online solvers Curve Fitting with Bayesian Ridge Regression Decision Boundaries of Multin...scikit-learn.org/stable/auto_examples/linear_model/index.html -
sklearn.manifold — scikit-learn 1.6.1 documenta...
Data embedding techniques. User guide. See the Manifold learning section for further details.scikit-learn.org/stable/api/sklearn.manifold.html -
all_estimators — scikit-learn 1.6.1 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version all_estimators # sklearn.utils.discovery. all_estimat...scikit-learn.org/stable/modules/generated/sklearn.utils.discovery.all_estimators.html -
load_linnerud — scikit-learn 1.6.1 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version load_linnerud # sklearn.datasets. load_linnerud ( * ,...scikit-learn.org/stable/modules/generated/sklearn.datasets.load_linnerud.html -
sklearn.pipeline — scikit-learn 1.6.1 documenta...
Utilities to build a composite estimator as a chain of transforms and estimators. User guide. See the Pipelines and composite estimators section for further details.scikit-learn.org/stable/api/sklearn.pipeline.html -
Effect of varying threshold for self-training —...
mean ( axis = 1 ), yerr = scores . std ( axis = 1 ), capsize =...( axis = 1 ), yerr = amount_labeled . std ( axis = 1 ), capsize...scikit-learn.org/stable/auto_examples/semi_supervised/plot_self_training_varying_threshold.html