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Probability Calibration for 3-class classificat...
"($\frac {1}{3} $, $\frac {1}{3} $, $\frac {1}{3} $)" , xy = ( 1.0 /...r "($1$, $0$, $0$)" , xy = ( 1 , 0 ), xytext = ( 1 , 0.1 ), xycoords...scikit-learn.org/stable/auto_examples/calibration/plot_calibration_multiclass.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 1.7.0 documentation
array ([[ 1 , 1 ], [ 2 , 1 ], [ 1 , 0 ], ... [ 4 , 7...array([[3.33, 6. ], [1.33, 0.66]]) >>> labels array([1, 1, 1, 0, 0, 0])...scikit-learn.org/stable/modules/generated/sklearn.cluster.mean_shift.html -
set_config — scikit-learn 1.7.0 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 -
SVM Margins Example — scikit-learn 1.7.0 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 -
coverage_error — scikit-learn 1.7.0 documentation
y_true = [[ 1 , 0 , 0 ], [ 0 , 1 , 1 ]] >>> y_score = [[ 1 , 0 , 0...[ 0 , 1 , 1 ]] >>> coverage_error ( y_true , y_score ) 1.5 On...scikit-learn.org/stable/modules/generated/sklearn.metrics.coverage_error.html -
make_friedman1 — scikit-learn 1.7.0 documentation
Annals of Statistics 19 (1), pages 1-67, 1991. [ 2 ] L. Breiman,...[source] # Generate the “Friedman #1” regression problem. This dataset...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_friedman1.html -
Feature agglomeration vs. univariate selection ...
0 ][ 1 ] . inverse_transform ( coef_ . reshape ( 1 , - 1 )) coef_selection_...roi_size ] = - 1.0 coef [ - roi_size :, - roi_size :] = 1.0 X = np...scikit-learn.org/stable/auto_examples/cluster/plot_feature_agglomeration_vs_univariate_selection.... -
Gradient Boosting regression — scikit-learn 1.7...
subplot ( 1 , 1 , 1 ) plt . title ( "Deviance"...12 , 6 )) plt . subplot ( 1 , 2 , 1 ) plt . barh ( pos , feature_importance...scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_regression.html -
log_loss — scikit-learn 1.7.0 documentation
p) = -(y \log (p) + (1 - y) \log (1 - p))\] Read more in the..., "spam" ], ... [[ .1 , .9 ], [ .9 , .1 ], [ .8 , .2 ], [ .35...scikit-learn.org/stable/modules/generated/sklearn.metrics.log_loss.html