- Sort Score
- Num 10 results
- Language All
- Labels All
Results 71 - 80 of over 10,000 for 1 (1.81 seconds)
Filter
-
MeanShift — scikit-learn 1.8.0 documentation
array ([[ 1 , 1 ], [ 2 , 1 ], [ 1 , 0 ], ... [ 4 , 7...clustering . labels_ array([1, 1, 1, 0, 0, 0]) >>> clustering ....scikit-learn.org/stable/modules/generated/sklearn.cluster.MeanShift.html -
Binarizer — scikit-learn 1.8.0 documentation
( X ) array([[1., 0., 1.], [1., 0., 0.], [0., 1., 0.]]) fit (...= [[ 1. , - 1. , 2. ], ... [ 2. , 0. , 0. ], ... [ 0. , 1. , -...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.Binarizer.html -
balanced_accuracy_score — scikit-learn 1.8.0 do...
1 , 0 , 0 , 1 , 0 ] >>> y_pred = [ 0 , 1 , 0 , 0 ,...each class. The best value is 1 and the worst value is 0 when...scikit-learn.org/stable/modules/generated/sklearn.metrics.balanced_accuracy_score.html -
Beats version 5.1.1 | Beats Platform Reference ...
1.2 Beats version 5.1.0 (skipped) » Elastic...Release notes Beats version 5.1.1 IMPORTANT : This documentation...www.elastic.co/guide/en/beats/libbeat/8.19/release-notes-5.1.1.html -
QuadraticDiscriminantAnalysis — scikit-learn 1....
([[ - 1 , - 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2...2 , 1 ], [ 3 , 2 ]]) >>> y = np . array ([ 1 , 1 , 1 , 2 , 2...scikit-learn.org/stable/modules/generated/sklearn.discriminant_analysis.QuadraticDiscriminantAnal... -
Beats version 7.1.1 | Beats Platform Reference ...
1.1 IMPORTANT : This documentation...documentation . Beats version 7.1.1 View commits No changes in this...www.elastic.co/guide/en/beats/libbeat/8.19/release-notes-7.1.1.html -
randomized_svd — scikit-learn 1.8.0 documentation
approximation problem described in [1] (problem (1.5), p5). Refer to Wikipedia...n_iter=0 or 1 should even work fine in theory (see [1] page 9)....scikit-learn.org/stable/modules/generated/sklearn.utils.extmath.randomized_svd.html -
2.1. Gaussian mixture models — scikit-learn 1.8...
1.1. Gaussian Mixture # The GaussianMixture...models using a finite mixture. 2.1.2.1. The Dirichlet Process # Here...scikit-learn.org/stable/modules/mixture.html -
OneToOneFeatureMixin — scikit-learn 1.8.0 docum...
This mixin assumes there’s a 1-to-1 correspondence between input...shape [ 1 ] ... return self >>> X = np . array ([[ 1 , 2 ], [...scikit-learn.org/stable/modules/generated/sklearn.base.OneToOneFeatureMixin.html -
RFE — scikit-learn 1.8.0 documentation
ranking_ array([1, 1, 1, 1, 1, 6, 4, 3, 2, 5]) decision_function...float, default=1 If greater than or equal to 1, then step corresponds...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.RFE.html