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8.2. Computational Performance — scikit-learn 1...
the following command: python - c "import sklearn; sklearn.show_versions()"...scikit-learn.org/stable/computing/computational_performance.html -
2.2. Manifold learning — scikit-learn 1.5.0 doc...
\(\delta_{ij}=c_1-c_2 S_{ij}\) for some real constants \(c_1, c_2\) ....datasets” Belkina, A.C., Ciccolella, C.O., Anno, R., Halpert,...scikit-learn.org/stable/modules/manifold.html -
1.16. Probability calibration — scikit-learn 1....
the regularization parameter C is tuned to be appropriate (neither...scikit-learn.org/stable/modules/calibration.html -
Testimonials — scikit-learn 1.5.0 documentation
commercial and marketing teams called C-Radar. We extensively use scikit-learn...scikit-learn.org/stable/testimonials/testimonials.html -
How to optimize for speed — scikit-learn 1.6.de...
Cython or C/C++? # In general, the scikit-learn...a well maintained BSD or MIT C/C++ implementation of the same...scikit-learn.org/dev/developers/performance.html -
1.5. Stochastic Gradient Descent — scikit-learn...
feature values by some constant c such that the average L2 norm...scikit-learn.org/stable/modules/sgd.html -
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 -
Plot the support vectors in LinearSVC — scikit-...
SVM loss clf = LinearSVC ( C = C , loss = "hinge" , random_state..."k" , ) plt . title ( "C=" + str ( C )) plt . tight_layout ()...scikit-learn.org/stable/auto_examples/svm/plot_linearsvc_support_vectors.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 -
Plot multinomial and One-vs-Rest Logistic Regre...
x0 * coef [ c , 0 ]) - intercept [ c ]) / coef [ c , 1 ] plt ....for colormapping provided via 'c'. Parameters 'cmap' will be ignored...scikit-learn.org/stable/auto_examples/linear_model/plot_logistic_multinomial.html