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sklearn.experimental — scikit-learn 1.7.2...
Importable modules that enable the use of experimental features or estimators.scikit-learn.org/stable/api/sklearn.experimental.html -
sklearn.neural_network — scikit-learn 1.7...
Models based on neural networks. User guide. See the Neural network models (supervised) and Neural network models (unsupervised) sections for further details.scikit-learn.org/stable/api/sklearn.neural_network.html -
Topic extraction with Non-negative Matrix Facto...
only one document or in at least 95% of the documents are removed....text documents using k-means Clustering text documents using...scikit-learn.org/stable/auto_examples/applications/plot_topics_extraction_with_nmf_lda.html -
Principal Component Regression vs Partial Least...
This example compares Principal Component Regression(PCR) and Partial Least Squares Regression(PLS) on a toy dataset. Our goal is to illustrate how PLS can outperform PCR when the target is strongl...scikit-learn.org/stable/auto_examples/cross_decomposition/plot_pcr_vs_pls.html -
Set up Enterprise Search with SAML 2.0 single s...
(SSO) IMPORTANT : This documentation is no longer updated. Refer...version policy and the latest documentation . Set up Enterprise Search...www.elastic.co/guide/en/enterprise-search/8.19/saml-idp.html -
Support Vector Regression (SVR) using linear an...
Toy example of 1D regression using linear, polynomial and RBF kernels. Generate sample data: Fit regression model: Look at the results: Total running time of the script:(0 minutes 5.548 seconds) La...scikit-learn.org/stable/auto_examples/svm/plot_svm_regression.html -
1. Supervised learning — scikit-learn 1.7...
Linear Models- Ordinary Least Squares, Ridge regression and classification, Lasso, Multi-task Lasso, Elastic-Net, Multi-task Elastic-Net, Least Angle Regression, LARS Lasso, Orthogonal Matching Pur...scikit-learn.org/stable/supervised_learning.html -
Probability calibration of classifiers — ...
When performing classification you often want to predict not only the class label, but also the associated probability. This probability gives you some kind of confidence on the prediction. However...scikit-learn.org/stable/auto_examples/calibration/plot_calibration.html -
GMM Initialization Methods — scikit-learn...
Examples of the different methods of initialization in Gaussian Mixture Models See Gaussian mixture models for more information on the estimator. Here we generate some sample data with four easy to...scikit-learn.org/stable/auto_examples/mixture/plot_gmm_init.html -
Univariate Feature Selection — scikit-lea...
This notebook is an example of using univariate feature selection to improve classification accuracy on a noisy dataset. In this example, some noisy (non informative) features are added to the iris...scikit-learn.org/stable/auto_examples/feature_selection/plot_feature_selection.html