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Theil-Sen Regression — scikit-learn 1.8.0 docum...
Linear model y = 3*x + N(2, 0.1**2) x = np . random . randn (...Linear model y = 3*x + N(2, 0.1**2) x = np . random . randn (...scikit-learn.org/stable/auto_examples/linear_model/plot_theilsen.html -
Compare cross decomposition methods — scikit-le...
that: Y = XB + Err) [[1 1 1] [2 2 2] [0 0 0] [0 0 0] [0 0 0] [0..."X comp. 2" ) plt . title ( "X comp. 1 vs X comp. 2 (test corr...scikit-learn.org/stable/auto_examples/cross_decomposition/plot_compare_cross_decomposition.html -
DistanceMetric — scikit-learn 1.8.0 documentation
HaversineDistance 2 arcsin(sqrt(sin^2(0.5*dx) + cos(x1)cos(x2)sin^2(0.5*dy)))...'euclidean' ) >>> X = [[ 1 , 2 ], [ 3 , 4 ], [ 5 , 6 ]] >>> Y...scikit-learn.org/stable/modules/generated/sklearn.metrics.DistanceMetric.html -
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 -
mean_tweedie_deviance — scikit-learn 1.8.0 docu...
y_true = [ 2 , 0 , 1 , 4 ] >>> y_pred = [ 0.5 , 0.5 , 2. , 2. ] >>>...>= 0 and y_pred > 0. 1 < p < 2 : Compound Poisson distribution....scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_tweedie_deviance.html -
3.4. Metrics and scoring: quantifying the quali...
y_true = [ - 2 , - 2 , - 2 ] >>> y_pred = [ - 2 , - 2 , - 2 ] >>> r2_score...y_true = [ - 2 , - 2 , - 2 ] >>> y_pred = [ - 2 , - 2 , - 2 + 1e-8...scikit-learn.org/stable/modules/model_evaluation.html -
ShuffleSplit — scikit-learn 1.8.0 documen...
2 , 1 , 2 , 1 , 2 ]) >>> rs = ShuffleSplit...Test: index=[5 2] Fold 1: Train: index=[4 0 2 5] Test: index=[1...scikit-learn.org/stable/modules/generated/sklearn.model_selection.ShuffleSplit.html -
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 -
zero_one_loss — scikit-learn 1.8.0 documentation
2 , 3 , 4 ] >>> y_true = [ 2 , 2 , 3 , 4 ] >>>...], [ 1 , 1 ]]), np . ones (( 2 , 2 ))) 0.5 On this page This Page...scikit-learn.org/stable/modules/generated/sklearn.metrics.zero_one_loss.html -
Manifold learning on handwritten digits: Locall...
zorder = 2 , ) shown_images = np . array...(( X [ i ] - shown_images ) ** 2 , 1 ) if np . min ( dist ) < 4e-3...scikit-learn.org/stable/auto_examples/manifold/plot_lle_digits.html