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model_evaluation.rst.txt
labeling1 = [2, 0, 2, 2, 0, 1] >>> labeling2 = [0, 0, 2, 2, 0, 2] >>>...y_true = [2, 0, 2, 2, 0, 1] >>> y_pred = [0, 0, 2, 2, 0, 2] >>> ...scikit-learn.org/stable/_sources/modules/model_evaluation.rst.txt -
feature_extraction.rst.txt
2.0986]}{\sqrt{\big(3^2 + 0^2 + 2.0986^2\big)}} = [...(one_image, (2, 2)) >>> patches.shape (9, 2, 2, 3) >>> patches[4,...scikit-learn.org/stable/_sources/modules/feature_extraction.rst.txt -
Cracking the code: How to gain business value f...
Europe & India: December 2, 2025, at 2:00 p.m. CET / 5:30 p.m....business value from AI December 2, 2025 Europe North America Asia/Pacific...www.elastic.co/virtual-events/cracking-the-code -
sphinx-design.min.css
sd-g-2,.sd-gy-2{--sd-gutter-y: 0.5rem}.sd-g-2,.sd-gx-2{--sd-gutter-x:...!important}.sd-p-2{padding:.5rem !important}.sd-pt-2,.sd-py-2{padding-top:.5rem...scikit-learn.org/stable/_static/sphinx-design.min.css -
plot_classifier_comparison.zip
make_classification( n_features=2, n_redundant=0, n_informative=2, random_state=1,...rng = np.random.RandomState(2) X += 2 * rng.uniform(size=X.shape)...scikit-learn.org/stable/_downloads/ce35bcc69acbd491cf7ac77fa17889d5/plot_classifier_comparison.zip -
plot_release_highlights_1_7_0.rst.txt
id="sk-estimator-id-2" type="checkbox" ><label for="sk-estimator-id-2" clas...#sk-container-id-2 pre { padding: 0; } #sk-container-id-2 input.sk-hidden--visually...scikit-learn.org/stable/_sources/auto_examples/release_highlights/plot_release_highlights_1_7_0.r... -
auto_examples_python.zip
- l / 2.0) ** 2 + (y - l / 2.0) ** 2 < (l / 2.0) ** 2 mask =...+ 1, figsize=(4 * 2.2, n_classifiers * 2.2), ) evaluation_results...scikit-learn.org/stable/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip -
Cluster analysis in R - IBM Developer
diag( 2 ) * c( 2 , 1 ))) %>% mutate( class...diag( 2 ) * c( 1 , 3 ))) %>% mutate( class =factor( 2 )) cluster3...developer.ibm.com/tutorials/awb-cluster-analysis-in-r/ -
plot_classifier_comparison.py
make_classification( n_features=2, n_redundant=0, n_informative=2, random_state=1,...rng = np.random.RandomState(2) X += 2 * rng.uniform(size=X.shape)...scikit-learn.org/stable/_downloads/2da0534ab0e0c8241033bcc2d912e419/plot_classifier_comparison.py -
styles.css
mr-2{margin-right:calc(var(--spacing)*2)}.mb-2{margin-b...spacing)*2)}.ml-2{margin-left:calc(var(--spacing)*2)}.ml-4{m...www.elastic.co/docs/_static/styles.css