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trustworthiness — scikit-learn 1.7.2 documentation
1]. It is defined as \[T(k) = 1 - \frac{2}{nk (2n...(2n - 3k - 1)} \sum^n_{i=1} \sum_{j \in \mathcal{N}_{i}^{k}}...scikit-learn.org/stable/modules/generated/sklearn.manifold.trustworthiness.html -
get_tags — scikit-learn 1.7.2 documentation
Added in version 1.6. Parameters : estimator estimator...scikit-learn.org/stable/modules/generated/sklearn.utils.get_tags.html -
VarianceThreshold — scikit-learn 1.7.2 document...
1 , 4 , 3 ], [ 0 , 1 , 1 , 3 ]] >>> selector...fit_transform ( X ) array([[2, 0], [1, 4], [1, 1]]) fit ( X , y = None )...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.VarianceThreshold.html -
fast_logdet — scikit-learn 1.7.2 documentation
1 ], [ 2 , 8 ]]) >>> fast_logdet...scikit-learn.org/stable/modules/generated/sklearn.utils.extmath.fast_logdet.html -
PLSSVD — scikit-learn 1.7.2 documentation
1 , - 0.2 ], ... [ 0.9 , 1.1 ], ... [ 6.2 , 5.9...np . array ([[ 0. , 0. , 1. ], ... [ 1. , 0. , 0. ], ... [ 2. ,...scikit-learn.org/stable/modules/generated/sklearn.cross_decomposition.PLSSVD.html -
Confusion matrix — scikit-learn 1.7.2 documenta...
confusion matrix [[1. 0. 0. ] [0. 0.62 0.38] [0. 0. 1. ]] # Authors:...scikit-learn.org/stable/auto_examples/model_selection/plot_confusion_matrix.html -
Examples — scikit-learn 1.7.2 documentation
scikit-learn 1.1 Release Highlights for scikit-learn 1.1 Release Highlights...scikit-learn 1.7 Release Highlights for scikit-learn 1.7 Release...scikit-learn.org/stable/auto_examples/index.html -
check_increasing — scikit-learn 1.7.2 documenta...
y = [ 1 , 2 , 3 , 4 , 5 ], [ 2 , 4 , 6...scikit-learn.org/stable/modules/generated/sklearn.isotonic.check_increasing.html -
oas — scikit-learn 1.7.2 documentation
References [ 1 ] ( 1 , 2 ) “Shrinkage algorithms...The regularised covariance is: (1 - shrinkage) * cov + shrinkage...scikit-learn.org/stable/modules/generated/oas-function.html -
MiniBatchKMeans — scikit-learn 1.7.2 documentation
array ([[ 1 , 2 ], [ 1 , 4 ], [ 1 , 0 ], ... [ 4 , 2...0 , 1 ], [ 2 , 2 ], ... [ 3 , 2 ], [ 5 , 5 ], [ 1 , - 1 ]]) >>>...scikit-learn.org/stable/modules/generated/sklearn.cluster.MiniBatchKMeans.html