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Gaussian Mixture Model Ellipsoids — sciki...
eigh ( covar ) v = 2.0 * np . sqrt ( 2.0 ) * np . sqrt ( v )...n_samples , 2 ), C ), 0.7 * np . random . randn ( n_samples , 2 ) + np...scikit-learn.org/stable/auto_examples/mixture/plot_gmm.html -
Semi Supervised Classification — scikit-l...
Examples concerning the sklearn.semi_supervised module. Decision boundary of semi-supervised classifiers versus SVM on the Iris dataset Effect of varying threshold for self-training Label Propagati...scikit-learn.org/stable/auto_examples/semi_supervised/index.html -
Illustration of prior and posterior Gaussian pr...
0 ] - 2.5 ) ** 2 ) n_samples = 5 Kernel cookbook...0.799**2 * ExpSineSquared(length_scale=0.791, periodicity=2.87)...scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpr_prior_posterior.html -
8.17.2 release notes | Enterprise Search docume...
2 release notes IMPORTANT : This...the latest documentation . 8.17.2 release notes No changes since...www.elastic.co/guide/en/enterprise-search/8.19/release-notes-8.17.2.html -
Single estimator versus bagging: bias-variance ...
- ( x ** 2 )) + 1.5 * np . exp ( - (( x - 2 ) ** 2 )) def generate...{0} : {1:.4f} (error) = {2:.4f} (bias^2) " " + {3:.4f}...scikit-learn.org/stable/auto_examples/ensemble/plot_bias_variance.html -
Compressive sensing: tomography reconstruction ...
x - l / 2.0 ) ** 2 + ( y - l / 2.0 ) ** 2 < ( l / 2.0 ) **...** 2 mask = np . zeros (( l , l )) points = l * rs . rand ( 2 ,...scikit-learn.org/stable/auto_examples/applications/plot_tomography_l1_reconstruction.html -
Decision Tree Regression with AdaBoost — ...
linewidth = 2 ) plt . plot ( X , y_2 , color = colors [ 2 ], label..."n_estimators=300" , linewidth = 2 ) plt . xlabel ( "data"...scikit-learn.org/stable/auto_examples/ensemble/plot_adaboost_regression.html -
Demo of HDBSCAN clustering algorithm — sc...
2 , 0.35 , 1.35 , 1.35 ], random_state...fig , axes = plt . subplots ( 2 , 1 , figsize = ( 10 , 8 )) params...scikit-learn.org/stable/auto_examples/cluster/plot_hdbscan.html -
3.3. Tuning the decision threshold for class pr...
DecisionTreeClassifi ( max_depth = 2 , random_state = 0 ) . fit ( X...best_score_ np.float64(0.86) 3.3.1.2. Important notes regarding the...scikit-learn.org/stable/modules/classification_threshold.html -
Plot classification boundaries with different S...
2 , 0.5 ], [ 0.2 , - 2.0 ], [ 0.5 , - 2.4 ], [ 0.2 , - 2.3...[ - 1.3 , - 1.2 ], [ - 1.1 , - 0.2 ], [ - 1.2 , - 0.4 ], [ -...scikit-learn.org/stable/auto_examples/svm/plot_svm_kernels.html