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pairwise_distances_argmin — scikit-learn ...
[ 1 , 1 , 1 ]] >>> Y = [[ 1 , 0 , 0 ], [ 1 , 1 , 0...deprecated from SciPy 1.9 and will be removed in SciPy 1.11. Note 'matching'...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise_distances_argmin.html -
average_precision_score — scikit-learn 1....
1 , 1 ]) >>> y_scores = np . array ([ 0.1 , 0.4..., 0.1 ], ... [ 0.4 , 0.3 , 0.3 ], ... [ 0.1 , 0.8 , 0.1 ], ......scikit-learn.org/stable/modules/generated/sklearn.metrics.average_precision_score.html -
KNeighborsRegressor — scikit-learn 1.8.0 ...
() array([[1., 0., 1.], [0., 1., 1.], [1., 0., 1.]]) predict...], [ 1 ], [ 2 ], [ 3 ]] >>> y = [ 0 , 0 , 1 , 1 ] >>>...scikit-learn.org/stable/modules/generated/sklearn.neighbors.KNeighborsRegressor.html -
compute_class_weight — scikit-learn 1.8.0...
compute_class_weight >>> y = [ 1 , 1 , 1 , 1 , 0 , 0 ] >>> ...unique ( y ), y = y ) array([1.5 , 0.75]) On this page This Page...scikit-learn.org/stable/modules/generated/sklearn.utils.class_weight.compute_class_weight.html -
KNeighborsClassifier — scikit-learn 1.8.0...
() array([[1., 0., 1.], [0., 1., 1.], [1., 0., 1.]]) predict...], [ 1 ], [ 2 ], [ 3 ]] >>> y = [ 0 , 0 , 1 , 1 ] >>>...scikit-learn.org/stable/modules/generated/sklearn.neighbors.KNeighborsClassifier.html -
normalize — scikit-learn 1.8.0 documentation
1 , 2 ], [ - 1 , 0 , 1 ]] >>> normalize...if axis is 0). axis {0, 1}, default=1 Define axis used to normalize...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.normalize.html -
NMF — scikit-learn 1.8.0 documentation
array ([[ 1 , 1 ], [ 2 , 1 ], [ 3 , 1.2 ], [ 4 , 1 ], [ 5 , 0.8...version 1.4: Added 'auto' value. Changed in version 1.6: Default...scikit-learn.org/stable/modules/generated/sklearn.decomposition.NMF.html -
estimate_bandwidth — scikit-learn 1.8.0 d...
array ([[ 1 , 1 ], [ 2 , 1 ], [ 1 , 0 ], ... [ 4 , 7...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.cluster.estimate_bandwidth.html -
ElasticNetCV — scikit-learn 1.8.0 documen...
l1_ratio = 1 it is an L1 penalty. For 0 < l1_ratio < 1 , the...(i.e. Ridge), as in [.1, .5, .7, .9, .95, .99, 1] . eps float, default=1e-3...scikit-learn.org/stable/modules/generated/sklearn.linear_model.ElasticNetCV.html -
cluster_optics_dbscan — scikit-learn 1.8....
1, 1, 1]) Gallery examples # Demo of...>>> X = np . array ([[ 1 , 2 ], [ 2 , 5 ], [ 3 , 6 ], ......scikit-learn.org/stable/modules/generated/sklearn.cluster.cluster_optics_dbscan.html