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Comparison of Calibration of Classifiers — scik...
1 ) proba_neg_class = 1 - proba_pos_class proba...[( 2 , 0 ), ( 2 , 1 ), ( 3 , 0 ), ( 3 , 1 )] for i , ( _ , name...scikit-learn.org/stable/auto_examples/calibration/plot_compare_calibration.html -
Version 0.18 — scikit-learn 1.8.0 documentation
for compatibility with NumPy 1.13.0: #7946 #8355 by Loic Esteve...Guerin, Sergei Lebedev Version 0.18.1 # November 11, 2016 Changelog...scikit-learn.org/stable/whats_new/v0.18.html -
SGD: Weighted samples — scikit-learn 1.8.0 docu...
) + [ 1 , 1 ], np . random . randn ( 10 , 2 )] y = [ 1 ] * 10...10 + [ - 1 ] * 10 sample_weight = 100 * np . abs ( np . random...scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_weighted_samples.html -
SGD: convex loss functions — scikit-learn 1.8.0...
z >= - 1 ] = ( 1 - z [ z >= - 1 ]) ** 2 loss [ z >= 1.0 ] = 0...([ xmin , 0 , 0 , xmax ], [ 1 , 1 , 0 , 0 ], color = "gold" ,...scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_loss_functions.html -
Demonstrating the different strategies of KBins...
strategies ) + 1 , i ) ax . scatter ( X [:, 0 ], X [:, 1 ], edgecolors.... linspace ( X [:, 1 ] . min (), X [:, 1 ] . max (), 300 ), )...scikit-learn.org/stable/auto_examples/preprocessing/plot_discretization_strategies.html -
Two-class AdaBoost — scikit-learn 1.8.0 documen...
random_state = 1 ) X2 , y2 = make_gaussian_quantiles...es ( mean = ( 3 , 3 ), cov = 1.5 , n_samples = 300 , n_features...scikit-learn.org/stable/auto_examples/ensemble/plot_adaboost_twoclass.html -
Gaussian Mixture Model Ellipsoids — scikit-lear...
1 , 1 + index ) for i , ( mean , covar...= np . array ([[ 0.0 , - 0.1 ], [ 1.7 , 0.4 ]]) X = np . r_ [...scikit-learn.org/stable/auto_examples/mixture/plot_gmm.html -
Visualizing the stock market structure — scikit...
index ] = 1 dy = y - embedding [ 1 ] dy [ index ] = 1 this_dx =...alphas = np . logspace ( - 1.5 , 1 , num = 10 ) edge_model = covariance...scikit-learn.org/stable/auto_examples/applications/plot_stock_market.html -
ROC Curve with Visualization API — scikit-learn...
default=-1 Hard limit on iterations within solver, or -1 for no...default=-1 Hard limit on iterations within solver, or -1 for no...scikit-learn.org/stable/auto_examples/miscellaneous/plot_roc_curve_visualization_api.html -
Tweedie regression on insurance claims — scikit...
tweedie_powers = [ 1.5 , 1.7 , 1.8 , 1.9 , 1.99 , 1.999 , 1.9999 ] scores_product_model...dev p=1.9990 1.914574e+03 1.914370e+03 1.914537e+03 1.914388e+03...scikit-learn.org/stable/auto_examples/linear_model/plot_tweedie_regression_insurance_claims.html