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Multi-output Decision Tree Regression — scikit-...
An example to illustrate multi-output regression with decision tree. The decision trees is used to predict simultaneously the noisy x and y observations of a circle given a single underlying featur...scikit-learn.org/stable/auto_examples/tree/plot_tree_regression_multioutput.html -
Color Quantization using K-Means — scikit-learn...
Performs a pixel-wise Vector Quantization (VQ) of an image of the summer palace (China), reducing the number of colors required to show the image from 96,615 unique colors to 64, while preserving t...scikit-learn.org/stable/auto_examples/cluster/plot_color_quantization.html -
Regularization path of L1- Logistic Regression ...
Train l1-penalized logistic regression models on a binary classification problem derived from the Iris dataset. The models are ordered from strongest regularized to least regularized. The 4 coeffic...scikit-learn.org/stable/auto_examples/linear_model/plot_logistic_path.html -
Feature agglomeration vs. univariate selection ...
This example compares 2 dimensionality reduction strategies: univariate feature selection with Anova, feature agglomeration with Ward hierarchical clustering. Both methods are compared in a regress...scikit-learn.org/stable/auto_examples/cluster/plot_feature_agglomeration_vs_univariate_selection.... -
Comparison of kernel ridge and Gaussian process...
This example illustrates differences between a kernel ridge regression and a Gaussian process regression. Both kernel ridge regression and Gaussian process regression are using a so-called “kernel ...scikit-learn.org/stable/auto_examples/gaussian_process/plot_compare_gpr_krr.html -
Customer Support Search for Knowledge Bases & H...
and process documentation to provide precise question...recommendations, while maintaining document-level security and keeping...www.elastic.co/enterprise-search/customer-support -
as_float_array — scikit-learn 1.5.2 documentation
Skip to main content Back to top Ctrl + K GitHub as_float_array # sklearn.utils. as_float_array ( X , * , copy = True...scikit-learn.org/stable/modules/generated/sklearn.utils.as_float_array.html -
column_or_1d — scikit-learn 1.5.2 documentation
Skip to main content Back to top Ctrl + K GitHub column_or_1d # sklearn.utils.validation. column_or_1d ( y , * , dtyp...scikit-learn.org/stable/modules/generated/sklearn.utils.validation.column_or_1d.html -
Approximate nearest neighbors in TSNE — scikit-...
This example presents how to chain KNeighborsTransformer and TSNE in a pipeline. It also shows how to wrap the packages nmslib and pynndescent to replace KNeighborsTransformer and perform approxima...scikit-learn.org/stable/auto_examples/neighbors/approximate_nearest_neighbors.html -
Spectral clustering for image segmentation — sc...
In this example, an image with connected circles is generated and spectral clustering is used to separate the circles. In these settings, the Spectral clustering approach solves the problem know as...scikit-learn.org/stable/auto_examples/cluster/plot_segmentation_toy.html