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t-SNE: The effect of various perplexity values ...
scatter ( X [ red , 0 ], X [ red , 1 ], c = "r" ) ax . scatter ( X...[ green , 0 ], X [ green , 1 ], c = "g" ) ax . xaxis . set_major_formatter...scikit-learn.org/stable/auto_examples/manifold/plot_t_sne_perplexity.html -
sklearn.decomposition — scikit-learn 1.7.1 docu...
Factorization (NMF). PCA Principal component analysis (PCA). SparseCoder...algorithms. These include PCA, NMF, ICA, and more. Most of the...scikit-learn.org/stable/api/sklearn.decomposition.html -
SVM: Weighted samples — scikit-learn 1.7.1 docu...
weights = [ 0.9 , 0.1 ], random_state = 0 , ) # down-sample for plotting...plot.""" axis . scatter ( X_plot [:, 0 ], X_plot [:, 1 ], c =...scikit-learn.org/stable/auto_examples/svm/plot_weighted_samples.html -
SVM: Separating hyperplane for unbalanced class...
n_samples_2 = 100 centers = [[ 0.0 , 0.0 ], [ 2.0 , 2.0 ]] clusters_std...svm . SVC ( kernel = "linear" , C = 1.0 ) clf . fit ( X , y )...scikit-learn.org/stable/auto_examples/svm/plot_separating_hyperplane_unbalanced.html -
4. Metadata Routing — scikit-learn 1.7.1 docume...
.. lr , ... X , ... y , ... params = { "sample_weight" : my_weights...my_weights , "groups" : my_groups }, ... cv = GroupKFold (), ... scoring...scikit-learn.org/stable/metadata_routing.html -
SGDClassifier — scikit-learn 1.7.1 documentation
{‘hinge’, ‘log_loss’, ‘modified_huber’, ‘squared_hinge’, ‘perceptron’,...‘perceptron’, ‘squared_error’, ‘huber’, ‘epsilon_insensitive’, ‘squar...scikit-learn.org/stable/modules/generated/sklearn.linear_model.SGDClassifier.html -
PartialDependenceDisplay — scikit-learn 1.7.1 d...
in features . kind {‘average’, ‘individual’, ‘both’} or list of...parameter with 'average' , 'individual' , and 'both' options. Added in...scikit-learn.org/stable/modules/generated/sklearn.inspection.PartialDependenceDisplay.html -
OrthogonalMatchingPursuit — scikit-learn 1.7.1 ...
12. (December 1993), pp. 3397-3415. ( https://www.di.ens.fr/~m...OrthogonalMatchingPu () . fit ( X , y ) >>> reg . score ( X , y ) 0.9991 >>>...scikit-learn.org/stable/modules/generated/sklearn.linear_model.OrthogonalMatchingPursuit.html -
lars_path — scikit-learn 1.7.1 documentation
random_state = 0 ... ) >>> true_coef array([ 0. , 0. , 0. , 97.9, 45.7])...method=’lasso’ is: ( 1 / ( 2 * n_samples )) * || y - Xw ||^ 2_2 + alpha *...scikit-learn.org/stable/modules/generated/sklearn.linear_model.lars_path.html -
sklearn.cluster — scikit-learn 1.7.1 documentation
density-based clustering. KMeans K-Means clustering. MeanShift...kernel. MiniBatchKMeans Mini-Batch K-Means clustering. OPTICS...scikit-learn.org/stable/api/sklearn.cluster.html