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OPTICS — scikit-learn 1.5.2 documentation
2 (1999): 49-60. [ 2 ] Schubert, Erich, Michael...>>> X = np . array ([[ 1 , 2 ], [ 2 , 5 ], [ 3 , 6 ], ... [ 8...scikit-learn.org/stable/modules/generated/sklearn.cluster.OPTICS.html -
ElasticNet — scikit-learn 1.5.2 documentation
function: 1 / ( 2 * n_samples ) * || y - Xw ||^ 2_2 + alpha * l1_ratio...it is: 1 / ( 2 * n_samples ) * || y - Xw ||^ 2_2 + alpha * l1_ratio...scikit-learn.org/stable/modules/generated/sklearn.linear_model.ElasticNet.html -
KBinsDiscretizer — scikit-learn 1.5.2 documenta...
[ 2., 2., 2., 1.], [ 2., 2., 2., 2.]]) Sometimes...>>> X = [[ - 2 , 1 , - 4 , - 1 ], ... [ - 1 , 2 , - 3 , - 0.5...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.KBinsDiscretizer.html -
NearestNeighbors — scikit-learn 1.5.2 documenta...
2 , return_distance = False ) array([[2, 0]]...) >>>...array([[2]])) As you can see, it returns [[0.5]], and [[2]], which...scikit-learn.org/stable/modules/generated/sklearn.neighbors.NearestNeighbors.html -
ComplementNB — scikit-learn 1.5.2 documentation
2. Changed in version 1.4: The default...)) >>> y = np . array ([ 1 , 2 , 3 , 4 , 5 , 6 ]) >>> from sklearn.naive_bayes...scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.ComplementNB.html -
KMeans — scikit-learn 1.5.2 documentation
2 ], [ 1 , 4 ], [ 1 , 0 ], ... [ 10 , 2 ], [ 10 , 4...cluster_centers_ array([[10., 2.], [ 1., 2.]]) For a more detailed...scikit-learn.org/stable/modules/generated/sklearn.cluster.KMeans.html -
Hyperparameter — scikit-learn 1.5.2 documentation
bounds # Alias for field number 2 count ( value , / ) # Return number...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.Hyperparameter.html -
PLSCanonical — scikit-learn 1.5.2 documentation
[ 2. , 2. , 2. ], [ 2. , 5. , 4. ]] >>> y =...= [[ 0.1 , - 0.2 ], [ 0.9 , 1.1 ], [ 6.2 , 5.9 ], [ 11.9 , 12.3...scikit-learn.org/stable/modules/generated/sklearn.cross_decomposition.PLSCanonical.html -
jaccard_score — scikit-learn 1.5.2 documentation
2 , 1 , 2 ] >>> y_true = [ 0 , 1 , 2 , 2 ] >>> jaccard_score...scikit-learn.org/stable/modules/generated/sklearn.metrics.jaccard_score.html -
IncrementalPCA — scikit-learn 1.5.2 documentation
[ - 2 , - 1 ], [ - 3 , - 2 ], ... [ 1 , 1 ], [ 2 , 1 ], [...O(batch_size * n_features ** 2) , but only 2 * batch_size samples remain...scikit-learn.org/stable/modules/generated/sklearn.decomposition.IncrementalPCA.html