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scikit-learn 1.3.2
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# Computation times

00:10.815 total execution time for auto_examples_neighbors files:

Kernel Density Estimation (`plot_digits_kde_sampling.py`) | 00:03.182 | 0.0 MB
Kernel Density Estimate of Species Distributions (`plot_species_kde.py`) | 00:02.712 | 0.0 MB
Dimensionality Reduction with Neighborhood Components Analysis (`plot_nca_dim_reduction.py`) | 00:01.791 | 0.0 MB
Caching nearest neighbors (`plot_caching_nearest_neighbors.py`) | 00:00.836 | 0.0 MB
Comparing Nearest Neighbors with and without Neighborhood Components Analysis (`plot_nca_classification.py`) | 00:00.614 | 0.0 MB
Novelty detection with Local Outlier Factor (LOF) (`plot_lof_novelty_detection.py`) | 00:00.471 | 0.0 MB
Simple 1D Kernel Density Estimation (`plot_kde_1d.py`) | 00:00.415 | 0.0 MB
Nearest Neighbors Classification (`plot_classification.py`) | 00:00.382 | 0.0 MB
Nearest Neighbors regression (`plot_regression.py`) | 00:00.139 | 0.0 MB
Nearest Centroid Classification (`plot_nearest_centroid.py`) | 00:00.115 | 0.0 MB
Neighborhood Components Analysis Illustration (`plot_nca_illustration.py`) | 00:00.102 | 0.0 MB
Outlier detection with Local Outlier Factor (LOF) (`plot_lof_outlier_detection.py`) | 00:00.056 | 0.0 MB
Approximate nearest neighbors in TSNE (`approximate_nearest_neighbors.py`) | 00:00.000 | 0.0 MB