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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 -
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 -
make_sparse_uncorrelated — scikit-learn 1.6.1 d...
Skip to main content Back to top Ctrl + K GitHub Choose version make_sparse_uncorrelated # sklearn.datasets. make_spa...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_sparse_uncorrelated.html -
load_svmlight_files — scikit-learn 1.6.1 docume...
Skip to main content Back to top Ctrl + K GitHub Choose version load_svmlight_files # sklearn.datasets. load_svmlight...scikit-learn.org/stable/modules/generated/sklearn.datasets.load_svmlight_files.html -
train_test_split — scikit-learn 1.6.1 documenta...
Gallery examples: Release Highlights for scikit-learn 1.5 Release Highlights for scikit-learn 1.4 Release Highlights for scikit-learn 0.24 Release Highlights for scikit-learn 0.23 Release Highlight...scikit-learn.org/stable/modules/generated/sklearn.model_selection.train_test_split.html -
paired_manhattan_distances — scikit-learn 1.6.1...
Skip to main content Back to top Ctrl + K GitHub Choose version paired_manhattan_distances # sklearn.metrics.pairwise...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.paired_manhattan_distances.html -
paired_euclidean_distances — scikit-learn 1.6.1...
Skip to main content Back to top Ctrl + K GitHub Choose version paired_euclidean_distances # sklearn.metrics.pairwise...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.paired_euclidean_distances.html -
mean_pinball_loss — scikit-learn 1.6.1 document...
Gallery examples: Release Highlights for scikit-learn 1.0 Features in Histogram Gradient Boosting Trees Prediction Intervals for Gradient Boosting Regression Lagged features for time series forecas...scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_pinball_loss.html