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make_sparse_coded_signal — scikit-learn 1.5.2 d...
Gallery examples: Orthogonal Matching Pursuitscikit-learn.org/stable/modules/generated/sklearn.datasets.make_sparse_coded_signal.html -
reconstruct_from_patches_2d — scikit-learn 1.5....
Gallery examples: Image denoising using dictionary learningscikit-learn.org/stable/modules/generated/sklearn.feature_extraction.image.reconstruct_from_patch... -
normalized_mutual_info_score — scikit-learn 1.5...
Gallery examples: Adjustment for chance in clustering performance evaluationscikit-learn.org/stable/modules/generated/sklearn.metrics.normalized_mutual_info_score.html -
precision_recall_fscore_support — scikit-learn ...
Skip to main content Back to top Ctrl + K GitHub precision_recall_fscore_support # sklearn.metrics. precision_recall_...scikit-learn.org/stable/modules/generated/sklearn.metrics.precision_recall_fscore_support.html -
incr_mean_variance_axis — scikit-learn 1.5.2 do...
Skip to main content Back to top Ctrl + K GitHub incr_mean_variance_axis # sklearn.utils.sparsefuncs. incr_mean_varia...scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs.incr_mean_variance_axis.html -
13. External Resources, Videos and Talks — scik...
New to Scientific Python?: For those that are still new to the scientific Python ecosystem, we highly recommend the Python Scientific Lecture Notes. This will help you find your footing a bit and w...scikit-learn.org/stable/presentations.html -
2.1. Gaussian mixture models — scikit-learn 1.5...
sklearn.mixture is a package which enables one to learn Gaussian Mixture Models (diagonal, spherical, tied and full covariance matrices supported), sample them, and estimate them from data. Facilit...scikit-learn.org/stable/modules/mixture.html -
Comparison of LDA and PCA 2D projection of Iris...
The Iris dataset represents 3 kind of Iris flowers (Setosa, Versicolour and Virginica) with 4 attributes: sepal length, sepal width, petal length and petal width. Principal Component Analysis (PCA)...scikit-learn.org/stable/auto_examples/decomposition/plot_pca_vs_lda.html -
Comparing Random Forests and Histogram Gradient...
In this example we compare the performance of Random Forest (RF) and Histogram Gradient Boosting (HGBT) models in terms of score and computation time for a regression dataset, though all the concep...scikit-learn.org/stable/auto_examples/ensemble/plot_forest_hist_grad_boosting_comparison.html -
6.1. Pipelines and composite estimators — sciki...
To build a composite estimator, transformers are usually combined with other transformers or with predictors(such as classifiers or regressors). The most common tool used for composing estimators i...scikit-learn.org/stable/modules/compose.html