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Label Propagation circles: Learning a complex s...
color = "c" , marker = "s" , lw = 0 , label...inner_numbers , 1 ], color = "c" , marker = "s" , lw = 0 , s =...scikit-learn.org/stable/auto_examples/semi_supervised/plot_label_propagation_structure.html -
Hidden Invasion: Inside Rwanda's Covert War in ...
C. Boston Bay Area South Florida...draws crowds to Washington, D.C. Nightly News Tens of millions...www.nbcnews.com/video/hidden-invasion-inside-rwanda-s-covert-war-in-eastern-congo-241043525685 -
Jurors shown explicit texts and videos as Diddy...
C. Boston Bay Area South Florida...after Karen Read verdict 02:56 N.C. man arrested after a missing...www.nbcnews.com/now/video/jurors-shown-explicit-texts-and-videos-as-diddy-trial-nears-end-2420972... -
Elastic Observability Labs
Instrumentation Log Analytics Monitor your C++ Applications with Elastic APM...Opentelemetry CPP client to monitor C++ application within Elastic APM...www.elastic.co/observability-labs/blog/tag/apm -
Faces recognition example using eigenfaces and ...
t0 = time () param_grid = { "C" : loguniform ( 1e3 , 1e5 ), "gamma"...estimator found by grid search: SVC(C=np.float64(76823.03433306457),...scikit-learn.org/stable/auto_examples/applications/plot_face_recognition.html -
Species distribution modeling — scikit-learn 1....
c_ [ np . random . randint ( low...urcrnrlon = X . max (), resolution = "c" , ) m . drawcoastlines () m ....scikit-learn.org/stable/auto_examples/applications/plot_species_distribution_modeling.html -
1.13. Feature selection — scikit-learn 1.7.0 do...
the parameter C controls the sparsity: the smaller C the fewer features...(150, 4) >>> lsvc = LinearSVC ( C = 0.01 , penalty = "l1" , dual...scikit-learn.org/stable/modules/feature_selection.html -
Eastern half of U.S. sweltering again, with dan...
C. Boston Bay Area South Florida...temperatures in Washington, D.C., were expected to hit 100 Tuesday...www.nbcnews.com/weather/heat/eastern-half-us-sweltering-dangerous-heat-wave-expected-last-midweek... -
Theil-Sen Regression — scikit-learn 1.7.0 docum...
0 c = 2.0 noise = 0.1 * np . random...randn ( n_samples ) y = w * x + c + noise # 10% outliers y [ - 20...scikit-learn.org/stable/auto_examples/linear_model/plot_theilsen.html -
LinearSVR — scikit-learn 1.7.0 documentation
C = 1.0 , loss = 'epsilon_insensitive'...Tolerance for stopping criteria. C float, default=1.0 Regularization...scikit-learn.org/stable/modules/generated/sklearn.svm.LinearSVR.html