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scikit-learn 1.3.2
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# Computation times

09:00.732 total execution time for auto_examples_applications files:

Faces recognition example using eigenfaces and SVMs (`plot_face_recognition.py`) | 06:29.604 | 0.0 MB
Visualizing the stock market structure (`plot_stock_market.py`) | 00:35.668 | 0.0 MB
Image denoising using kernel PCA (`plot_digits_denoising.py`) | 00:23.342 | 0.0 MB
Out-of-core classification of text documents (`plot_out_of_core_classification.py`) | 00:22.559 | 0.0 MB
Time-related feature engineering (`plot_cyclical_feature_engineering.py`) | 00:17.648 | 0.0 MB
Species distribution modeling (`plot_species_distribution_modeling.py`) | 00:13.843 | 0.0 MB
Model Complexity Influence (`plot_model_complexity_influence.py`) | 00:12.435 | 0.0 MB
Prediction Latency (`plot_prediction_latency.py`) | 00:10.615 | 0.0 MB
Topic extraction with Non-negative Matrix Factorization and Latent Dirichlet Allocation (`plot_topics_extraction_with_nmf_lda.py`) | 00:08.165 | 0.0 MB
Compressive sensing: tomography reconstruction with L1 prior (Lasso) (`plot_tomography_l1_reconstruction.py`) | 00:05.923 | 0.0 MB
Outlier detection on a real data set (`plot_outlier_detection_wine.py`) | 00:00.929 | 0.0 MB
Libsvm GUI (`svm_gui.py`) | 00:00.000 | 0.0 MB
Wikipedia principal eigenvector (`wikipedia_principal_eigenvector.py`) | 00:00.000 | 0.0 MB