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rand_score — scikit-learn 1.6.1 documentation
1 , 1 ], [ 1 , 1 , 0 , 0 ]) 1.0 Labelings that...rand_score ([ 0 , 0 , 1 , 2 ], [ 0 , 0 , 1 , 1 ]) np.float64(0.83...)...scikit-learn.org/stable/modules/generated/sklearn.metrics.rand_score.html -
roc_curve — scikit-learn 1.6.1 documentation
y_true is in {-1, 1} or {0, 1}, pos_label is set to 1, otherwise...labels are not either {-1, 1} or {0, 1}, then pos_label should...scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_curve.html -
label_binarize — scikit-learn 1.6.1 documentation
label_binarize ([ 1 , 6 ], classes = [ 1 , 2 , 4 , 6 ]) array([[1, 0, 0,...label_binarize ([ 1 , 6 ], classes = [ 1 , 6 , 4 , 2 ]) array([[1, 0, 0,...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.label_binarize.html -
Polynomial and Spline interpolation — scikit-le...
[ 1 , x_1 , x_1 ** 2 , x_1 ** 3 , ... , x_1 ** degree...), ... ], [ basis_1 ( x_1 ), basis_2 ( x_1 ), ... ], ... ] This...scikit-learn.org/stable/auto_examples/linear_model/plot_polynomial_interpolation.html -
r2_score — scikit-learn 1.6.1 documentation
1 ], [ - 1 , 1 ], [ 7 , - 6 ]] >>> y_pred...cross-validation). Added in version 1.1. Returns : z float or ndarray...scikit-learn.org/stable/modules/generated/sklearn.metrics.r2_score.html -
mean_shift — scikit-learn 1.6.1 documentation
array ([[ 1 , 1 ], [ 2 , 1 ], [ 1 , 0 ], ... [ 4 , 7...6. ], [1.33..., 0.66...]]) >>> labels array([1, 1, 1, 0, 0, 0])...scikit-learn.org/stable/modules/generated/sklearn.cluster.mean_shift.html -
SVM Margins Example — scikit-learn 1.6.1 docume...
0 ] * 20 + [ 1 ] * 20 # figure number fignum = 1 # fit the model...is sqrt(1+a^2) away vertically in # 2-d. margin = 1 / np . sqrt...scikit-learn.org/stable/auto_examples/svm/plot_svm_margin.html -
set_config — scikit-learn 1.6.1 documentation
Added in version 1.1. enable_cython_pairwise_dist...configuration setting. Added in version 1.1. array_api_dispatch bool, default=None...scikit-learn.org/stable/modules/generated/sklearn.set_config.html -
randomized_svd — scikit-learn 1.6.1 documentation
approximation problem described in [1] (problem (1.5), p5). Refer to Wikipedia...n_iter=0 or 1 should even work fine in theory (see [1] page 9)....scikit-learn.org/stable/modules/generated/sklearn.utils.extmath.randomized_svd.html -
coverage_error — scikit-learn 1.6.1 documentation
y_true = [[ 1 , 0 , 0 ], [ 0 , 1 , 1 ]] >>> y_score = [[ 1 , 0 , 0...0 ], [ 0 , 1 , 1 ]] >>> coverage_error ( y_true , y_score ) np.float64(1.5)...scikit-learn.org/stable/modules/generated/sklearn.metrics.coverage_error.html