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styles.css
mr-2{margin-right:calc(var(--spacing)*2)}.mb-2{margin-b...spacing)*2)}.ml-2{margin-left:calc(var(--spacing)*2)}.ml-4{m...www.elastic.co/docs/_static/styles.css -
LedoitWolf — scikit-learn 1.7.1 documentation
2 ], ... [ .2 , .8 ]]) >>> np . random...Multivariate Analysis, Volume 88, Issue 2, February 2004, pages 365-411....scikit-learn.org/stable/modules/generated/sklearn.covariance.LedoitWolf.html -
Bunch — scikit-learn 1.7.1 documentation
b = 2 ) >>> b [ 'b' ] 2 >>> b . b 2 >>> b . a = 3 >>>...return a (key, value) pair as a 2-tuple. Pairs are returned in LIFO...scikit-learn.org/stable/modules/generated/sklearn.utils.Bunch.html -
mean_absolute_percentage_error — scikit-learn 1...
2 , 7 ] >>> y_pred = [ 2.5 , 0.0 , 2 , 8 ] >>> m...1. , 0. , 2.4 , 7. ] >>> y_pred = [ 1.2 , 0.1 , 2.4 , 8. ] >>>...scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_absolute_percentage_error.html -
RepeatedKFold — scikit-learn 1.7.1 documentation
2 ], [ 3 , 4 ], [ 1 , 2 ], [ 3 , 4 ]]) >>>...RepeatedKFold ( n_splits = 2 , n_repeats = 2 , random_state = 2652124...scikit-learn.org/stable/modules/generated/sklearn.model_selection.RepeatedKFold.html -
7.7. Kernel Approximation — scikit-learn 1.7.1 ...
\Lambda U_2^T \\ U_2 \Lambda U_1^T & U_2 \Lambda U_2^T \end{bmatrix}...\\ U_2\end{bmatrix} \Lambda \begin{bmatrix} U_1 \\ U_2 \end{bmatrix}^T...scikit-learn.org/stable/modules/kernel_approximation.html -
ElasticNetCV — scikit-learn 1.7.1 documentation
objective is: 1 / ( 2 * n_samples ) * || y - Xw ||^ 2_2 + alpha * l1_ratio...it is: 1 / ( 2 * n_samples ) * || y - Xw ||^ 2_2 + alpha * l1_ratio...scikit-learn.org/stable/modules/generated/sklearn.linear_model.ElasticNetCV.html -
AffinityPropagation — scikit-learn 1.7.1 docume...
2 ], [ 1 , 4 ], [ 1 , 0 ], ... [ 4 , 2 ], [ 4 , 4...cluster_centers_ array([[1, 2], [4, 2]]) For an example usage, see...scikit-learn.org/stable/modules/generated/sklearn.cluster.AffinityPropagation.html -
roc_auc_score — scikit-learn 1.7.1 documentation
the standardized partial AUC [2] over the range [0, max_fpr] is...under of the ROC as follows: G = 2 * AUC - 1 Where G is the Gini...scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_auc_score.html -
1.1. Linear Models — scikit-learn 1.7.1 documen...
x_1 + w_2 x_2 + w_3 x_1 x_2 + w_4 x_1^2 + w_5 x_2^2\] The (sometimes...\([x_1, x_2]\) to \([1, x_1, x_2, x_1^2, x_1 x_2, x_2^2]\) , and...scikit-learn.org/stable/modules/linear_model.html