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lars_path_gram — scikit-learn 1.7.2 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version lars_path_gram # sklearn.linear_model. lars_path_gram...scikit-learn.org/stable/modules/generated/sklearn.linear_model.lars_path_gram.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 -
3. Model selection and evaluation — scikit-lear...
Cross-validation: evaluating estimator performance- Computing cross-validated metrics, Cross validation iterators, A note on shuffling, Cross validation and model selection, Permutation test score....scikit-learn.org/stable/model_selection.html -
Scalable learning with polynomial kernel approx...
This example illustrates the use of PolynomialCountSketch to efficiently generate polynomial kernel feature-space approximations. This is used to train linear classifiers that approximate the accur...scikit-learn.org/stable/auto_examples/kernel_approximation/plot_scalable_poly_kernels.html -
Dimensionality Reduction with Neighborhood Comp...
Sample usage of Neighborhood Components Analysis for dimensionality reduction. This example compares different (linear) dimensionality reduction methods applied on the Digits data set. The data set...scikit-learn.org/stable/auto_examples/neighbors/plot_nca_dim_reduction.html -
class_likelihood_ratios — scikit-learn 1.7.2 do...
Gallery examples: Class Likelihood Ratios to measure classification performancescikit-learn.org/stable/modules/generated/sklearn.metrics.class_likelihood_ratios.html -
get_scorer_names — scikit-learn 1.7.2 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 -
d2_tweedie_score — scikit-learn 1.7.2 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 -
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 -
calinski_harabasz_score — scikit-learn 1.7.2 do...
Skip to main content Back to top Ctrl + K GitHub Choose version calinski_harabasz_score # sklearn.metrics. calinski_h...scikit-learn.org/stable/modules/generated/sklearn.metrics.calinski_harabasz_score.html