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make_hastie_10_2 — scikit-learn 1.5.2 documenta...
Gallery examples: Gradient Boosting regularization Demonstration of multi-metric evaluation on cross_val_score and GridSearchCVscikit-learn.org/stable/modules/generated/sklearn.datasets.make_hastie_10_2.html -
inplace_csr_column_scale — scikit-learn 1.5.2 d...
Skip to main content Back to top Ctrl + K GitHub inplace_csr_column_scale # sklearn.utils.sparsefuncs. inplace_csr_co...scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs.inplace_csr_column_scale.html -
"Baba Yaga: Character Design and Collectible Fi...
Selected Images Document Type Culminating Experience...dc.etsu.edu/digitalmedia-culminating-experience/8/ -
4.1. Partial Dependence and Individual Conditio...
Partial dependence plots (PDP) and individual conditional expectation (ICE) plots can be used to visualize and analyze interaction between the target response 1 and a set of input features of inter...scikit-learn.org/stable/modules/partial_dependence.html -
11.1. Array API support (experimental) — scikit...
The Array API specification defines a standard API for all array manipulation libraries with a NumPy-like API. Scikit-learn’s Array API support requires array-api-compat to be installed. Some sciki...scikit-learn.org/stable/modules/array_api.html -
1.4. Support Vector Machines — scikit-learn 1.5...
Support vector machines (SVMs) are a set of supervised learning methods used for classification, regression and outliers detection. The advantages of support vector machines are: Effective in high ...scikit-learn.org/stable/modules/svm.html -
scikit-learn: machine learning in Python — scik...
Skip to main content Back to top Ctrl + K scikit-learn Machine Learning in Python Getting Started Release Highlights ...scikit-learn.org/dev/index.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 -
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 -
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