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SkewedChi2Sampler — scikit-learn 1.8.0 document...
[[ 0 , 0 ], [ 1 , 1 ], [ 1 , 0 ], [ 0 , 1 ]] >>> y = [ 0 , 0...( * , skewedness = 1.0 , n_components = 100 , random_state = None...scikit-learn.org/stable/modules/generated/sklearn.kernel_approximation.SkewedChi2Sampler.html -
trustworthiness — scikit-learn 1.8.0 documentation
trustworthiness is within [0, 1]. It is defined as \[T(k) = 1 - \frac{2}{nk...trustworthiness to lies within [0, 1], as mentioned in [1] . An error will be...scikit-learn.org/stable/modules/generated/sklearn.manifold.trustworthiness.html -
img_to_graph — scikit-learn 1.8.0 documentation
array([[0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 1], [0, 1, 1, 1]]) On...>>> img = np . array ([[ 0 , 0 ], [ 0 , 1 ]]) >>> img_to_graph (...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.image.img_to_graph.html -
TSNE — scikit-learn 1.8.0 documentation
([[ 0 , 0 , 0 ], [ 0 , 1 , 1 ], [ 1 , 0 , 1 ], [ 1 , 1 , 1 ]])...is usually in the range [10.0, 1000.0]. If the learning rate is...scikit-learn.org/stable/modules/generated/sklearn.manifold.TSNE.html -
mean_gamma_deviance — scikit-learn 1.8.0 docume...
0.5 , 1 , 4 ] >>> y_pred = [ 0.5 , 0.5 , 2. , 2....point value (the best value is 0.0). Examples >>> from sklearn.metrics...scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_gamma_deviance.html -
hinge_loss — scikit-learn 1.8.0 documentation
hinge_loss >>> X = [[ 0 ], [ 1 ]] >>> y = [ - 1 , 1 ] >>> est = svm...hinge_loss ([ - 1 , 1 , 1 ], pred_decision ) 0.30 In the multiclass...scikit-learn.org/stable/modules/generated/sklearn.metrics.hinge_loss.html -
d2_absolute_error_score — scikit-learn 1.8.0 do...
y_pred ) 0.764... >>> y_true = [[ 0.5 , 1 ], [ - 1 , 1 ], [ 7 ,...of 0.0. Read more in the User Guide . Added in version 1.1. Parameters...scikit-learn.org/stable/modules/generated/sklearn.metrics.d2_absolute_error_score.html -
check_scoring — scikit-learn 1.8.0 documentation
y ) >>> scores {'accuracy': 1.0, 'mean_squared_log_error': 'Traceback...a callable. Added in version 1.6. Returns : scoring callable...scikit-learn.org/stable/modules/generated/sklearn.metrics.check_scoring.html -
ridge_regression — scikit-learn 1.8.0 documenta...
0 ] - 1.0 * X [:, 1 ] + 0.1 * rng . standard_normal ( 100 )...max_iter = None , tol = 0.0001 , verbose = 0 , positive = False ,...scikit-learn.org/stable/modules/generated/sklearn.linear_model.ridge_regression.html -
spectral_embedding — scikit-learn 1.8.0 documen...
then eigen_tol=0.0 ; If eigen_solver="lobpcg" or...n_neighbors = int ( X . shape [ 0 ] / 10 ), include_self = True ......scikit-learn.org/stable/modules/generated/sklearn.manifold.spectral_embedding.html