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6.8. Pairwise metrics, Affinities and Kernels —...
c ) <= d ( a , b ) + d ( b , c ), the triangle...d(a, b) such that d(a, b) < d(a, c) if objects a and b are considered...scikit-learn.org/stable/modules/metrics.html -
1.9. Naive Bayes — scikit-learn 1.5.2 documenta...
to class \(c\) , \(N_{c} = |\{ j \in J\mid y_j = c\}|\) is the...\sum_{j:y_j \neq c} d_{ij}} {\alpha + \sum_{j:y_j \neq c} \sum_{k} d_{kj}}\\w_{ci}...scikit-learn.org/stable/modules/naive_bayes.html -
L1 Penalty and Sparsity in Logistic Regression ...
different values of C. We can see that large values of C give more freedom...coefficients of the models for varying C. C=1.00 Sparsity with L1 penalty:...scikit-learn.org/stable/auto_examples/linear_model/plot_logistic_l1_l2_sparsity.html -
Plot multi-class SGD on the iris dataset — scik...
x0 * coef [ c , 0 ]) - intercept [ c ]) / coef [ c , 1 ] plt ....X [ idx , 0 ], X [ idx , 1 ], c = color , label = iris . target_names...scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_iris.html -
Plot multinomial and One-vs-Rest Logistic Regre...
x0 * coef [ c , 0 ]) - intercept [ c ]) / coef [ c , 1 ] plt ....X [ idx , 0 ], X [ idx , 1 ], c = color , edgecolor = "black"...scikit-learn.org/stable/auto_examples/linear_model/plot_logistic_multinomial.html -
Swiss Roll And Swiss-Hole Reduction — scikit-le...
c = sr_color , s = 50 , alpha =...sr_lle [:, 0 ], sr_lle [:, 1 ], c = sr_color ) axs [ 0 ] . set_title...scikit-learn.org/stable/auto_examples/manifold/plot_swissroll.html -
Installing scikit-learn — scikit-learn 1.5.2 do...
for instance: C : \ Users \ username > C : \ Users \ username...packages in the environment python -c "import sklearn; sklearn.show_versions()"...scikit-learn.org/stable/install.html -
Comparing random forests and the multi-output m...
c = "c" , s = s , marker = "^" , alpha...y_test [:, 1 ], edgecolor = "k" , c = "navy" , s = s , marker = "s"...scikit-learn.org/stable/auto_examples/ensemble/plot_random_forest_regression_multioutput.html -
Regularization path of L1- Logistic Regression ...
coefs_ = [] for c in cs : clf . set_params ( C = c ) clf . fit (...sklearn.svm import l1_min_c cs = l1_min_c ( X , y , loss = "log"...scikit-learn.org/stable/auto_examples/linear_model/plot_logistic_path.html -
SVM Tie Breaking Example — scikit-learn 1.5.2 d...
C = 1 , break_ties = break_ties...) pred = svm . predict ( np . c_ [ xx . ravel (), yy . ravel ()])...scikit-learn.org/stable/auto_examples/svm/plot_svm_tie_breaking.html