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RBF — scikit-learn 1.6.0 documentation
x_j)^2}{2l^2} \right)\] where \(l\) is the...very smooth. See [2] , Chapter 4, Section 4.2, for further details...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.RBF.html -
SGDClassifier — scikit-learn 1.6.0 documentation
[ - 2 , - 1 ], [ 1 , 1 ], [ 2 , 1 ]]) >>> Y = np...np . array ([ 1 , 1 , 2 , 2 ]) >>> # Always scale the input. The...scikit-learn.org/stable/modules/generated/sklearn.linear_model.SGDClassifier.html -
Common pitfalls in the interpretation of coeffi...
534 534 unique NaN 2 2 NaN 2 NaN 3 6 3 2 top NaN no male NaN...36.833333 NaN NaN NaN NaN std 2.615373 NaN NaN 12.379710 NaN 11.726573...scikit-learn.org/stable/auto_examples/inspection/plot_linear_model_coefficient_interpretation.html -
Swiss Roll And Swiss-Hole Reduction — scikit-le...
n_components = 2 ) sr_tsne = manifold . TSNE ( n_components = 2 , perplexity...n_components = 2 ) sh_tsne = manifold . TSNE ( n_components = 2 , perplexity...scikit-learn.org/stable/auto_examples/manifold/plot_swissroll.html -
Fitting an Elastic Net with a precomputed Gram ...
2.65799352e+02], ..., [-2.25349312e+02, -1.07963978e+03,...-3.07582983e+02, 6.66670169e+02, 2.65799352e+02], ..., [-2.25349312e+02, -1.07963978e+03,...scikit-learn.org/stable/auto_examples/linear_model/plot_elastic_net_precomputed_gram_matrix_with_... -
実は「大学中退」していた意外な男性有名人ランキング|タモリ,ラサール石井,西島秀俊|他 - g...
東京都、2位 福岡県、1位に選ばれたのは？ 8 近所にあったらうれしい飲食チェーンランキング！3位 餃子の王将、2位 マクドナルド、1位は…...ランキング！5位 新潟、4位 大分、3位 秋田、2位 東京、1位は… 2 アニメ史上最も有能な艦長ランキング！ヤン・ウェ...ranking.goo.ne.jp/column/6137/ -
LEAP 71 Hot-Fires Advanced Aerospike Rocket Eng...
Informative Interesting Funny ( Score: 2 ) by writes: Will this increase...because of the design? ( Score: 2 ) by writes: As TFA says an aerospike's...science.slashdot.org/story/24/12/28/2312227/leap-71-hot-fires-advanced-aerospike-rocket-engine-de... -
contingency_matrix — scikit-learn 1.6.0 documen...
2 , 2 ] >>> labels_pred = [ 1 , 0 , 2 , 1 , 0 , 2 ] >>>...scikit-learn.org/stable/modules/generated/sklearn.metrics.cluster.contingency_matrix.html -
SVM: Separating hyperplane for unbalanced class...
n_samples_2 = 100 centers = [[ 0.0 , 0.0 ], [ 2.0 , 2.0 ]] clusters_std...n_samples = [ n_samples_1 , n_samples_2 ], centers = centers , cluster_std...scikit-learn.org/stable/auto_examples/svm/plot_separating_hyperplane_unbalanced.html -
lars_path_gram — scikit-learn 1.6.0 documentation
is: ( 1 / ( 2 * n_samples )) * || y - Xw ||^ 2_2 + alpha * ||...copy_X = True , eps = np.float64(2.220446049250313e-16) , copy_Gram...scikit-learn.org/stable/modules/generated/sklearn.linear_model.lars_path_gram.html