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Approximate nearest neighbors in TSNE — scikit-...
one extra neighbor is computed when mode == 'distance' ....one extra neighbor will be computed. n_neighbors = self . n_neighbors...scikit-learn.org/stable/auto_examples/neighbors/approximate_nearest_neighbors.html -
matthews_corrcoef — scikit-learn 1.7.1 document...
sample_weight = None ) [source] # Compute the Matthews correlation coefficient...scikit-learn.org/stable/modules/generated/sklearn.metrics.matthews_corrcoef.html -
1.16. Probability calibration — scikit-learn 1....
calibration alone (unless one computes each term of the decomposition)....using ensemble=False is computational: it reduces the overall...scikit-learn.org/stable/modules/calibration.html -
NuSVC — scikit-learn 1.7.1 documentation
comes at a relatively high computational cost compared to a simple...parameter C of each class. Computed based on the class_weight...scikit-learn.org/stable/modules/generated/sklearn.svm.NuSVC.html -
Multi-dimensional scaling — scikit-learn 1.7.1 ...
mean () Now we compute pairwise distances between...distance matrix symmetric. # Compute pairwise Euclidean distances...scikit-learn.org/stable/auto_examples/manifold/plot_mds.html -
r_regression — scikit-learn 1.7.1 documentation
force_finite = True ) [source] # Compute Pearson’s r for each features...regressor and the target is computed as: E [( X [:, i ] - mean...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.r_regression.html -
label_ranking_average_precision_score — scikit-...
sample_weight = None ) [source] # Compute ranking-based average precision....scikit-learn.org/stable/modules/generated/sklearn.metrics.label_ranking_average_precision_score.html -
sklearn.calibration — scikit-learn 1.7.1 docume...
calibration_curve Compute true and predicted probabilities...scikit-learn.org/stable/api/sklearn.calibration.html -
make_friedman1 — scikit-learn 1.7.1 documentation
only 5 are actually used to compute y . The remaining features...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_friedman1.html -
label_binarize — scikit-learn 1.7.1 documentation
scikit-learn.org/stable/modules/generated/sklearn.preprocessing.label_binarize.html