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CalibratedClassifierCV — scikit-learn 1.5.2 doc...
means 1 unless in a joblib.parallel_backend context. -1 means...LinearSVC . Added in version 1.2. method {‘sigmoid’, ‘isotonic’},...scikit-learn.org/stable/modules/generated/sklearn.calibration.CalibratedClassifierCV.html -
SelfTrainingClassifier — scikit-learn 1.5.2 doc...
1). When using the 'threshold' criterion,...When a sample has iteration -1, the sample was not labeled in...scikit-learn.org/stable/modules/generated/sklearn.semi_supervised.SelfTrainingClassifier.html -
EfficiencyWarning — scikit-learn 1.5.2 document...
Skip to main content Back to top Ctrl + K GitHub EfficiencyWarning # exception sklearn.exceptions. EfficiencyWarning ...scikit-learn.org/stable/modules/generated/sklearn.exceptions.EfficiencyWarning.html -
deprecated — scikit-learn 1.6.dev0 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version deprecated # class sklearn.utils. deprecated ( extra ...scikit-learn.org/dev/modules/generated/sklearn.utils.deprecated.html -
6.1. Pipelines and composite estimators — sciki...
1.1.1. Usage # 6.1.1.1.1. Build a pipeline...0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0], [0, 1, 0, 0, 1, 0, 0, 0,...scikit-learn.org/stable/modules/compose.html -
SGD: Penalties — scikit-learn 1.5.2 documentation
[( - 1 , - 1 )], ) plt . clabel ( l2_contour , inline = 1 , fontsize...18 , fmt = { 1.0 : "L2" }, manual = [( - 1 , - 1 )]) plt . clabel...scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_penalties.html -
matthews_corrcoef — scikit-learn 1.5.2 document...
[ + 1 , + 1 , + 1 , - 1 ] >>> y_pred = [ + 1 , - 1 , + 1 , +...value between -1 and +1. A coefficient of +1 represents a perfect...scikit-learn.org/stable/modules/generated/sklearn.metrics.matthews_corrcoef.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 -
mean_shift — scikit-learn 1.5.2 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 1.5.2 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