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Multiclass Receiver Operating Characteristic (R...
This example describes the use of the Receiver Operating Characteristic (ROC) metric to evaluate the quality of multiclass classifiers. ROC curves typically feature true positive rate (TPR) on the ...scikit-learn.org/stable/auto_examples/model_selection/plot_roc.html -
Joint feature selection with multi-task Lasso —...
The multi-task lasso allows to fit multiple regression problems jointly enforcing the selected features to be the same across tasks. This example simulates sequential measurements, each task is a t...scikit-learn.org/stable/auto_examples/linear_model/plot_multi_task_lasso_support.html -
Gradient Boosting Out-of-Bag estimates — scikit...
Out-of-bag (OOB) estimates can be a useful heuristic to estimate the “optimal” number of boosting iterations. OOB estimates are almost identical to cross-validation estimates but they can be comput...scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_oob.html -
Target Encoder’s Internal Cross fitting — sciki...
The TargetEncoder replaces each category of a categorical feature with the shrunk mean of the target variable for that category. This method is useful in cases where there is a strong relationship ...scikit-learn.org/stable/auto_examples/preprocessing/plot_target_encoder_cross_val.html -
Illustration of prior and posterior Gaussian pr...
This example illustrates the prior and posterior of a GaussianProcessRegressor with different kernels. Mean, standard deviation, and 5 samples are shown for both prior and posterior distributions. ...scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpr_prior_posterior.html -
kNN search in Elasticsearch | Elastic Docs
the top-level document; "k" top-level documents will be returned,...} } Index the documents Add example documents with vectors for...www.elastic.co/docs/solutions/search/vector/knn -
1. Supervised learning — scikit-learn 1.7.2 doc...
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 -
Lasso on dense and sparse data — scikit-learn 1...
We show that linear_model.Lasso provides the same results for dense and sparse data and that in the case of sparse data the speed is improved. Comparing the two Lasso implementations on Dense data:...scikit-learn.org/stable/auto_examples/linear_model/plot_lasso_dense_vs_sparse_data.html -
Multi-dimensional scaling — scikit-learn 1.7.2 ...
An illustration of the metric and non-metric MDS on generated noisy data. Dataset preparation: We start by uniformly generating 20 points in a 2D space. Now we compute pairwise distances between al...scikit-learn.org/stable/auto_examples/manifold/plot_mds.html -
Neighborhood Components Analysis Illustration —...
This example illustrates a learned distance metric that maximizes the nearest neighbors classification accuracy. It provides a visual representation of this metric compared to the original point sp...scikit-learn.org/stable/auto_examples/neighbors/plot_nca_illustration.html