- Sort Score
- Result 10 results
- Languages All
- Labels All
Results 1431 - 1440 of 5,766 for * (5.83 sec)
-
OPTICS — scikit-learn 1.7.2 documentation
[‘cityblock’, ‘cosine’, ‘euclidean’, ‘l1’, ‘l2’, ‘manhattan’] from...‘chebyshev’, ‘correlation’, ‘dice’, ‘hamming’, ‘jaccard’, ‘kulsinski’,...scikit-learn.org/stable/modules/generated/sklearn.cluster.OPTICS.html -
SpectralBiclustering — scikit-learn 1.7.2 docum...
= np . array ([[ 1 , 1 ], [ 2 , 1 ], [ 1 , 0 ], ... [ 4 , 7 ],...clustering . row_labels_ array([1, 1, 1, 0, 0, 0], dtype=int32) >>>...scikit-learn.org/stable/modules/generated/sklearn.cluster.SpectralBiclustering.html -
TransformerMixin — scikit-learn 1.7.2 documenta...
None ): ... return self ... def transform ( self , X ): ... return...array([1, 1, 1]) fit_transform ( X , y = None , ** fit_params ) [source]...scikit-learn.org/stable/modules/generated/sklearn.base.TransformerMixin.html -
estimate_bandwidth — scikit-learn 1.7.2 documen...
([[ 1 , 1 ], [ 2 , 1 ], [ 1 , 0 ], ... [ 4 , 7 ], [ 3 , 5 ],...sklearn.cluster. estimate_bandwidth ( X , * , quantile = 0.3 , n_samples...scikit-learn.org/stable/modules/generated/sklearn.cluster.estimate_bandwidth.html -
johnson_lindenstrauss_min_dim — scikit-learn 1....
im ( 1e6 , eps = [ 0.5 , 0.1 , 0.01 ]) array([ 663, 11841, 1112658])...im ( n_samples , * , eps = 0.1 ) [source] # Find a ‘safe’ number...scikit-learn.org/stable/modules/generated/sklearn.random_projection.johnson_lindenstrauss_min_dim... -
DecisionTreeClassifier — scikit-learn 1.7.2 doc...
be [{0: 1, 1: 1}, {0: 1, 1: 5}, {0: 1, 1: 1}, {0: 1, 1: 1}] instead...instead of [{1:1}, {2:5}, {3:1}, {4:1}]. The “balanced” mode uses...scikit-learn.org/stable/modules/generated/sklearn.tree.DecisionTreeClassifier.html -
NuSVR — scikit-learn 1.7.2 documentation
NuSVR ( * , nu = 0.5 , C = 1.0 , kernel = 'rbf' , degree = 3 , gamma...kernel {‘linear’, ‘poly’, ‘rbf’, ‘sigmoid’, ‘precomputed’} or callable,...scikit-learn.org/stable/modules/generated/sklearn.svm.NuSVR.html -
confusion_matrix — scikit-learn 1.7.2 documenta...
[ "ant" , "bird" , "cat" ]) array([[2, 0, 0], [0, 0, 1], [1, 0,...0 , 1 , 0 , 1 ], [ 1 , 1 , 1 , 0 ]) . ravel () . tolist () >>>...scikit-learn.org/stable/modules/generated/sklearn.metrics.confusion_matrix.html -
Isomap — scikit-learn 1.7.2 documentation
manifold. eigen_solver {‘auto’, ‘arpack’, ‘dense’}, default=’auto’...algorithm. neighbors_algorithm {‘auto’, ‘brute’, ‘kd_tree’, ‘ball_tree’},...scikit-learn.org/stable/modules/generated/sklearn.manifold.Isomap.html -
average_precision_score — scikit-learn 1.7.2 do...
0.1 ], ... [ 0.4 , 0.3 , 0.3 ], ... [ 0.1 , 0.8 , 0.1 ], ......[ 0.2 , 0.3 , 0.5 ], ... [ 0.4 , 0.4 , 0.2 ], ... [ 0.1 , 0.2...scikit-learn.org/stable/modules/generated/sklearn.metrics.average_precision_score.html