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The Johnson-Lindenstrauss bound for embedding w...
on the 20 newsgroups text document (TF-IDF word frequencies)...newsgroups dataset some 300 documents with 100k features in total...scikit-learn.org/stable/auto_examples/miscellaneous/plot_johnson_lindenstrauss_bound.html -
1.17. Neural network models (supervised) — scik...
details can be found in the documentation of SGD Adam is similar to...scikit-learn.org/stable/modules/neural_networks_supervised.html -
incr_mean_variance_axis — scikit-learn 1.7.2 do...
Skip to main content Back to top Ctrl + K GitHub Choose version incr_mean_variance_axis # sklearn.utils.sparsefuncs. ...scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs.incr_mean_variance_axis.html -
2.7. Novelty and Outlier Detection — scikit-lea...
Many applications require being able to decide whether a new observation belongs to the same distribution as existing observations (it is an inlier), or should be considered as different (it is an ...scikit-learn.org/stable/modules/outlier_detection.html -
reconstruct_from_patches_2d — scikit-learn 1.7....
Gallery examples: Image denoising using dictionary learningscikit-learn.org/stable/modules/generated/sklearn.feature_extraction.image.reconstruct_from_patch... -
A demo of structured Ward hierarchical clusteri...
Compute the segmentation of a 2D image with Ward hierarchical clustering. The clustering is spatially constrained in order for each segmented region to be in one piece. Generate data: Resize it to ...scikit-learn.org/stable/auto_examples/cluster/plot_coin_ward_segmentation.html -
Hashing feature transformation using Totally Ra...
RandomTreesEmbedding provides a way to map data to a very high-dimensional, sparse representation, which might be beneficial for classification. The mapping is completely unsupervised and very effi...scikit-learn.org/stable/auto_examples/ensemble/plot_random_forest_embedding.html -
normalized_mutual_info_score — scikit-learn 1.7...
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 Choose version precision_recall_fscore_support # sklearn.metrics. pr...scikit-learn.org/stable/modules/generated/sklearn.metrics.precision_recall_fscore_support.html -
Comparing randomized search and grid search for...
Compare randomized search and grid search for optimizing hyperparameters of a linear SVM with SGD training. All parameters that influence the learning are searched simultaneously (except for the nu...scikit-learn.org/stable/auto_examples/model_selection/plot_randomized_search.html