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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 -
Plot multi-class SGD on the iris dataset — scik...
Plot decision surface of multi-class SGD on iris dataset. The hyperplanes corresponding to the three one-versus-all (OVA) classifiers are represented by the dashed lines. Total running time of the ...scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_iris.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 -
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 -
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 -
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 -
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... -
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 5.393 seconds) La...scikit-learn.org/stable/auto_examples/svm/plot_svm_regression.html -
Gaussian Processes regression: basic introducto...
A simple one-dimensional regression example computed in two different ways: A noise-free case, A noisy case with known noise-level per datapoint. In both cases, the kernel’s parameters are estimate...scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpr_noisy_targets.html -
MNIST classification using multinomial logistic...
Here we fit a multinomial logistic regression with L1 penalty on a subset of the MNIST digits classification task. We use the SAGA algorithm for this purpose: this a solver that is fast when the nu...scikit-learn.org/stable/auto_examples/linear_model/plot_sparse_logistic_regression_mnist.html