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Lars — scikit-learn 1.8.0 documentation
float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...n_nonzero_coefs = 500 , eps = np.float64(2.220446049250313e-16) , copy_X...scikit-learn.org/stable/modules/generated/sklearn.linear_model.Lars.html -
SGD: convex loss functions — scikit-learn...
= ( 1 - z [ z >= - 1 ]) ** 2 loss [ z >= 1.0 ] = 0 return...linspace ( xmin , xmax , 100 ) lw = 2 plt . plot ([ xmin , 0 , 0 , xmax...scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_loss_functions.html -
make_circles — scikit-learn 1.8.0 documen...
n_samples int or tuple of shape (2,), dtype=int, default=100 If int,...ndarray of shape (n_samples, 2) The generated samples. y ndarray...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_circles.html -
Using KBinsDiscretizer to discretize continuous...
subplots ( ncols = 2 , sharey = True , figsize = (...predict ( line ), linewidth = 2 , color = "green" ,...scikit-learn.org/stable/auto_examples/preprocessing/plot_discretization.html -
PolynomialFeatures — scikit-learn 1.8.0 d...
degree-2 polynomial features are [1, a, b, a^2, ab, b^2]. Read...etc. excluded: x[0] ** 2 , x[0] ** 2 * x[1] , etc. include_bias...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.PolynomialFeatures.html -
ProxyTransactionManagementConfiguration (Spring...
proxyBeanMethods =false) @Role (2) @ImportRuntimeHints (org.spr...nternalTransactionA") @Role (2) public BeanFactoryTransacti...docs.spring.io/spring-framework/docs/current/javadoc-api/org/springframework/transaction/annotati... -
mean_pinball_loss — scikit-learn 1.8.0 do...
2 , 3 ] >>> mean_pinball_loss...mean_pinball_loss ( y_true , [ 0 , 2 , 3 ], alpha = 0.1 ) 0.03... >>>...scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_pinball_loss.html -
plot_classifier_comparison.rst.txt
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/_sources/auto_examples/classification/plot_classifier_comparison.rst.txt -
plot_multi_metric_evaluation.zip
range(2, 403, 20)}, scoring=scoring, refit="AUC", n_jobs=2, re...ax.plot( [ X_axis[best_index], ] * 2, [0, best_score], linestyle="-.",...scikit-learn.org/stable/_downloads/535778bfbc9b4881da3e662bc2ea8484/plot_multi_metric_evaluation.zip -
auc — scikit-learn 1.8.0 documentation
2 , 2 ]) >>> y_score = np...y_true , y_score , pos_label = 2 ) >>> metrics . auc (...scikit-learn.org/stable/modules/generated/sklearn.metrics.auc.html