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Using KBinsDiscretizer to discretize continuous...
The example compares prediction result of linear regression (linear model) and decision tree (tree based model) with and without discretization of real-valued features. As is shown in the result be...scikit-learn.org/stable/auto_examples/preprocessing/plot_discretization.html -
RadiusNeighborsTransformer — scikit-learn...
scikit-learn.org/stable/modules/generated/sklearn.neighbors.RadiusNeighborsTransformer.html -
Introducing the set_output API — scikit-l...
Documentation for Pipeline i Fitted Parameters...False StandardScaler ? Documentation for StandardScaler Parameters...scikit-learn.org/stable/auto_examples/miscellaneous/plot_set_output.html -
3.2. Tuning the hyper-parameters of an estimato...
scikit-learn.org/stable/modules/grid_search.html -
Visualizations with Display Objects — sci...
Documentation for Pipeline i Fitted Parameters...False StandardScaler ? Documentation for StandardScaler Parameters...scikit-learn.org/stable/auto_examples/miscellaneous/plot_display_object_visualization.html -
Crafting a minimal reproducer for scikit-learn ...
scikit-learn.org/stable/developers/minimal_reproducer.html -
Decision Tree Regression — scikit-learn 1...
Documentation for DecisionTreeRegresso...DecisionTreeRegresso ? Documentation for DecisionTreeRegresso...scikit-learn.org/stable/auto_examples/tree/plot_tree_regression.html -
Successive Halving Iterations — scikit-le...
Documentation for HalvingRandomSearchC...RandomForestClassifi ? Documentation for RandomForestClassifi...scikit-learn.org/stable/auto_examples/model_selection/plot_successive_halving_iterations.html -
A demo of the mean-shift clustering algorithm &...
Reference: Dorin Comaniciu and Peter Meer, “Mean Shift: A robust approach toward feature space analysis”. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2002. pp. 603-619. Generate...scikit-learn.org/stable/auto_examples/cluster/plot_mean_shift.html -
Ledoit-Wolf vs OAS estimation — scikit-le...
The usual covariance maximum likelihood estimate can be regularized using shrinkage. Ledoit and Wolf proposed a close formula to compute the asymptotically optimal shrinkage parameter (minimizing a...scikit-learn.org/stable/auto_examples/covariance/plot_lw_vs_oas.html