- Sort Score
- Num 10 results
- Language All
- Labels All
Results 281 - 290 of over 10,000 for 1 (0.17 seconds)
-
StratifiedGroupKFold — scikit-learn 1.8.0...
1 , 1 , 1 , 1 , 1 , 1 , 0 , 0 , 0 , 0 , 0...Train: index=[ 0 1 2 3 7 8 9 10 11 15 16] group=[1 1 2 2 4 5 5 5 5...scikit-learn.org/stable/modules/generated/sklearn.model_selection.StratifiedGroupKFold.html -
check_symmetric — scikit-learn 1.8.0 docu...
1 , 2 ], [ 1 , 0 , 1 ], [ 2 , 1 , 0 ]]) >>>...symmetric_array ) array([[0, 1, 2], [1, 0, 1], [2, 1, 0]]) >>>...scikit-learn.org/stable/modules/generated/sklearn.utils.validation.check_symmetric.html -
adjusted_mutual_info_score — scikit-learn...
1 , 1 ], [ 0 , 0 , 1 , 1 ]) 1.0 >>> ...ore ([ 0 , 0 , 1 , 1 ], [ 1 , 1 , 0 , 0 ]) 1.0 If classes members...scikit-learn.org/stable/modules/generated/sklearn.metrics.adjusted_mutual_info_score.html -
radius_neighbors_graph — scikit-learn 1.8...
() array([[1., 0., 1.], [0., 1., 0.], [1., 0., 1.]]) On this...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.neighbors.radius_neighbors_graph.html -
shuffle — scikit-learn 1.8.0 documentation
1.], [1., 0.]]) >>> y array([2, 1, 0]) >>>...>>> X = np . array ([[ 1. , 0. ], [ 2. , 1. ], [ 0. , 0. ]]) >>>...scikit-learn.org/stable/modules/generated/sklearn.utils.shuffle.html -
img_to_graph — scikit-learn 1.8.0 documen...
1], [0, 0, 0, 1], [0, 1, 1, 1]]) On this page...np . array ([[ 0 , 0 ], [ 0 , 1 ]]) >>> img_to_graph...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.image.img_to_graph.html -
RegressorChain — scikit-learn 1.8.0 docum...
= [[ 1 , 0 ], [ 0 , 1 ], [ 1 , 1 ]], [[ 0 , 2 ], [ 1 , 1 ], [...order = [ 0 , 1 , 2 , ... , Y . shape [ 1 ] - 1 ] The order of...scikit-learn.org/stable/modules/generated/sklearn.multioutput.RegressorChain.html -
_safe_indexing — scikit-learn 1.8.0 docum...
axis = 1 ) # select the first column array([1, 3, 5]) On...integer are supported. If axis=1 : to select a single column, indices...scikit-learn.org/stable/modules/generated/sklearn.utils._safe_indexing.html -
ExpSineSquared — scikit-learn 1.8.0 docum...
ExpSineSquared ( length_scale = 1.0 , periodicity = 1.0 , length_scale_bounds...ExpSineSquared ( length_scale = 1 , periodicity = 1 ) >>> gpr =...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.ExpSineSquared.html -
clone — scikit-learn 1.8.0 documentation
>>> X = [[ - 1 , 0 ], [ 0 , 1 ], [ 0 , - 1 ], [ 1 , 0 ]] >>>...>>> y = [ 0 , 0 , 1 , 1 ] >>> classifier = LogisticRegression...scikit-learn.org/stable/modules/generated/sklearn.base.clone.html