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core.c8d2c3384367fbfa1fe8.js
c=3;c<i;c++)a[c-3]=arguments[c];return window...a=te[t].getAdUnitPath(),c=M(a.split("/"),6),u=c[2],s=c[3],l=c[4],f=c[5];Obje...www.buzzfeed.com/static-assets/js/core.c8d2c3384367fbfa1fe8.js -
Plot classification probability — scikit-learn ...
regression \n (C=0.01)" : LogisticRegression ( C = 0.1 ), "Logistic...regression \n (C=1)" : LogisticRegression ( C = 100 ), "Gaussian...scikit-learn.org/stable/auto_examples/classification/plot_classification_probability.html -
Comparison between grid search and successive h...
[[ "param_C" , "param_gamma" ]] = results [[ "param_C" , "param_gamma"...param_grid = { "gamma" : gammas , "C" : Cs } clf = SVC ( random_state...scikit-learn.org/stable/auto_examples/model_selection/plot_successive_halving_heatmap.html -
1.5. Stochastic Gradient Descent — scikit-learn...
feature values by some constant c such that the average \(L_2\)...scikit-learn.org/stable/modules/sgd.html -
Plot different SVM classifiers in the iris data...
C = C ), svm . LinearSVC ( C = C , max_iter = 10000...kernel = "rbf" , gamma = 0.7 , C = C ), svm . SVC ( kernel = "poly"...scikit-learn.org/stable/auto_examples/svm/plot_iris_svc.html -
Trust Center - Frequently Asked Questions | Ela...
c.1 and eligible for exports under...www.elastic.co/trust/faq -
webpack-3e7e9cafbed0f49f.js
r(var a=c.length;a>0&&c[a-1][2]>i;a--)c[a]=c[a-1];c[a]=[o,n,i];return}for(var...d=1/0,a=0;a<c.length;a++){for(var o=c[a][0],n=c[a][1],i=c[a][2],t...www.elastic.co/_next/static/chunks/webpack-3e7e9cafbed0f49f.js -
Visualizing the probabilistic predictions of a ...
c = y , ** common_scatter_plot_params...True ), LogisticRegression ( C = 10 ), ) clf2 = make_pipeline...scikit-learn.org/stable/auto_examples/ensemble/plot_voting_decision_regions.html -
t-SNE: The effect of various perplexity values ...
c = "r" ) ax . scatter ( X [ green...green , 0 ], X [ green , 1 ], c = "g" ) ax . xaxis . set_major_formatter...scikit-learn.org/stable/auto_examples/manifold/plot_t_sne_perplexity.html -
Comparison of kernel ridge regression and SVR —...
param_grid = { "C" : [ 1e0 , 1e1 , 1e2 , 1e3 ],...kr_predict )) Best SVR with params: {'C': 1.0, 'gamma': np.float64(0.1)}...scikit-learn.org/stable/auto_examples/miscellaneous/plot_kernel_ridge_regression.html