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DBSCAN — scikit-learn 1.7.1 documentation
2 ], [ 2 , 2 ], [ 2 , 3 ], ... [ 8 , 7 ],...memory complexity of \(O({n}^2)\) , which can occur when the...scikit-learn.org/stable/modules/generated/sklearn.cluster.DBSCAN.html -
kmeans_plusplus — scikit-learn 1.7.1 documentation
2 ], [ 1 , 4 ], [ 1 , 0 ], ... [ 10 , 2 ], [ 10 , 4...n_clusters = 2 , random_state = 0 ) >>> centers array([[10, 2], [ 1,...scikit-learn.org/stable/modules/generated/sklearn.cluster.kmeans_plusplus.html -
johnson_lindenstrauss_min_dim — scikit-learn 1....
||u - v||^2 < ||p(u) - p(v)||^2 < (1 + eps) ||u - v||^2 Where u...>= 4 log(n_samples) / (eps^2 / 2 - eps^3 / 3) Note that the number...scikit-learn.org/stable/modules/generated/sklearn.random_projection.johnson_lindenstrauss_min_dim... -
IncrementalPCA — scikit-learn 1.7.1 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 -
PLSCanonical — scikit-learn 1.7.1 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 -
auc — scikit-learn 1.7.1 documentation
2 , 2 ]) >>> y_score = np . array...y_true , y_score , pos_label = 2 ) >>> metrics . auc ( fpr , tpr...scikit-learn.org/stable/modules/generated/sklearn.metrics.auc.html -
plot_multi_metric_evaluation.zip
range(2, 403, 20)}, scoring=scoring, refit="AUC", n_jobs=2, re...sklearn.datasets import make_hastie_10_2 from sklearn.metrics import accuracy_score,...scikit-learn.org/stable/_downloads/535778bfbc9b4881da3e662bc2ea8484/plot_multi_metric_evaluation.zip -
Better Binary Quantization (BBQ) in Lucene and ...
( 1 < < 0 ) + ( 2 < < 1 ) + ( 1 < < 2 ) + ( 2 < < 3 ) = 25 = ...\newline = (1 << 0) + (2 << 1) + (1 << 2) + (2 << 3) \newline = 25...www.elastic.co/search-labs/blog/better-binary-quantization-lucene-elasticsearch -
NearestCentroid — scikit-learn 1.7.1 documentation
2 ]]) >>> y = np . array ([ 1 , 1 , 1 , 2 , 2 , 2 ]) >>>...- 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2 , 1 ], [ 3...scikit-learn.org/stable/modules/generated/sklearn.neighbors.NearestCentroid.html -
brier_score_loss — scikit-learn 1.7.1 documenta...
2 , 0.7 , 0.1 ], [ 0.2 , 0.2 , 0.6 ]], ... labels...by 1/2 to lie in the [0, 1] range instead of the [0, 2] range....scikit-learn.org/stable/modules/generated/sklearn.metrics.brier_score_loss.html