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Partial Dependence and Individual Conditional E...
2 Release Highlights for scikit-learn 1.2 Gallery generated...between the target function [ 2 ] and a set of features of interest,...scikit-learn.org/stable/auto_examples/inspection/plot_partial_dependence.html -
Early stopping of Stochastic Gradient Descent —...
2 ), } # Load the dataset X , y...subplots ( nrows = 1 , ncols = 2 , sharey = True , figsize = (...scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_early_stopping.html -
About us — scikit-learn 1.7.2 documentation
History: This project was started in 2007 as a Google Summer of Code project by David Cournapeau. Later that year, Matthieu Brucher started working on this project as part of his thesis. In 2010 Fa...scikit-learn.org/stable/about.html -
Feature agglomeration — scikit-learn 1.7.2 docu...
These images show how similar features are merged together using feature agglomeration. Total running time of the script:(0 minutes 0.113 seconds) Launch binder Launch JupyterLite Download Jupyter ...scikit-learn.org/stable/auto_examples/cluster/plot_digits_agglomeration.html -
Neural Networks — scikit-learn 1.7.2 documentation
Examples concerning the sklearn.neural_network module. Compare Stochastic learning strategies for MLPClassifier Restricted Boltzmann Machine features for digit classification Varying regularization...scikit-learn.org/stable/auto_examples/neural_networks/index.html -
Manifold learning — scikit-learn 1.7.2 document...
Examples concerning the sklearn.manifold module. Comparison of Manifold Learning methods Manifold Learning methods on a severed sphere Manifold learning on handwritten digits: Locally Linear Embedd...scikit-learn.org/stable/auto_examples/manifold/index.html -
is_regressor — scikit-learn 1.7.2 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version is_regressor # sklearn.base. is_regressor ( estimator...scikit-learn.org/stable/modules/generated/sklearn.base.is_regressor.html -
Scikit-learn governance and decision-making — s...
The purpose of this document is to formalize the governance process used by the scikit-learn project, to clarify how decisions are made and how the various elements of our community interact. This ...scikit-learn.org/stable/governance.html -
An example of K-Means++ initialization — scikit...
An example to show the output of the sklearn.cluster.kmeans_plusplus function for generating initial seeds for clustering. K-Means++ is used as the default initialization for K-means. Total running...scikit-learn.org/stable/auto_examples/cluster/plot_kmeans_plusplus.html -
make_sparse_spd_matrix — scikit-learn 1.7.2 doc...
Gallery examples: Sparse inverse covariance estimationscikit-learn.org/stable/modules/generated/sklearn.datasets.make_sparse_spd_matrix.html