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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 -
Simple 1D Kernel Density Estimation — scikit-le...
This example uses the KernelDensity class to demonstrate the principles of Kernel Density Estimation in one dimension. The first plot shows one of the problems with using histograms to visualize th...scikit-learn.org/stable/auto_examples/neighbors/plot_kde_1d.html -
ledoit_wolf_shrinkage — scikit-learn 1.7.0 docu...
Skip to main content Back to top Ctrl + K GitHub Choose version ledoit_wolf_shrinkage # sklearn.covariance. ledoit_wo...scikit-learn.org/stable/modules/generated/sklearn.covariance.ledoit_wolf_shrinkage.html -
fetch_lfw_pairs — scikit-learn 1.7.0 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version fetch_lfw_pairs # sklearn.datasets. fetch_lfw_pairs (...scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_lfw_pairs.html -
cluster_optics_xi — scikit-learn 1.7.0 document...
Skip to main content Back to top Ctrl + K GitHub Choose version cluster_optics_xi # sklearn.cluster. cluster_optics_x...scikit-learn.org/stable/modules/generated/sklearn.cluster.cluster_optics_xi.html -
sklearn.linear_model — scikit-learn 1.7.0 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 -
d2_tweedie_score — scikit-learn 1.7.0 documenta...
Skip to main content Back to top Ctrl + K GitHub Choose version d2_tweedie_score # sklearn.metrics. d2_tweedie_score ...scikit-learn.org/stable/modules/generated/sklearn.metrics.d2_tweedie_score.html -
get_scorer_names — scikit-learn 1.7.0 documenta...
Skip to main content Back to top Ctrl + K GitHub Choose version get_scorer_names # sklearn.metrics. get_scorer_names ...scikit-learn.org/stable/modules/generated/sklearn.metrics.get_scorer_names.html -
cluster_optics_dbscan — scikit-learn 1.7.0 docu...
Gallery examples: Demo of OPTICS clustering algorithmscikit-learn.org/stable/modules/generated/sklearn.cluster.cluster_optics_dbscan.html -
make_column_selector — scikit-learn 1.7.0 docum...
Gallery examples: Column Transformer with Mixed Types Categorical Feature Support in Gradient Boosting Combine predictors using stacking Evaluation of outlier detection estimatorsscikit-learn.org/stable/modules/generated/sklearn.compose.make_column_selector.html