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StratifiedGroupKFold — scikit-learn 1.8.0 docum...
index=[ 0 1 2 3 15 16] group=[1 1 2 2 8 8] Fold 2: Train: index=[...index=[ 0 1 2 3 7 8 9 10 11 15 16] group=[1 1 2 2 4 5 5 5 5 8...scikit-learn.org/stable/modules/generated/sklearn.model_selection.StratifiedGroupKFold.html -
mean_tweedie_deviance — scikit-learn 1.8.0 docu...
y_true = [ 2 , 0 , 1 , 4 ] >>> y_pred = [ 0.5 , 0.5 , 2. , 2. ] >>>...>= 0 and y_pred > 0. 1 < p < 2 : Compound Poisson distribution....scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_tweedie_deviance.html -
1.6. Nearest Neighbors — scikit-learn 1.8.0 doc...
2 ]]) >>> y = np . array ([ 1 , 1 , 1 , 2 , 2 , 2 ]) >>>...- 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2 , 1 ], [ 3...scikit-learn.org/stable/modules/neighbors.html -
RadiusNeighborsRegressor — scikit-learn 1.8.0 d...
float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...'auto' , leaf_size = 30 , p = 2 , metric = 'minkowski' , metric_params...scikit-learn.org/stable/modules/generated/sklearn.neighbors.RadiusNeighborsRegressor.html -
Spectral clustering for image segmentation — sc...
0 ]) ** 2 + ( y - center1 [ 1 ]) ** 2 < radius1 ** 2 circle2...0 ]) ** 2 + ( y - center2 [ 1 ]) ** 2 < radius2 ** 2 circle3...scikit-learn.org/stable/auto_examples/cluster/plot_segmentation_toy.html -
Ridge coefficients as a function of the L2 Regu...
- X \beta \|^{2}_{2} + \alpha \| \beta \|^{2}_{2}\) where \(X\)...side (e.g. \(\|y - X\beta\|^{2}_{2}\) ) measures the squared difference...scikit-learn.org/stable/auto_examples/linear_model/plot_ridge_coeffs.html -
top_k_accuracy_score — scikit-learn 1.8.0 docum...
2 , 2 ]) >>> y_score = np . array ([[ 0.5 , 0.2 , 0.2 ], #...top 2 ... [ 0.3 , 0.4 , 0.2 ], # 1 is in top 2 ... [ 0.2 , 0.4...scikit-learn.org/stable/modules/generated/sklearn.metrics.top_k_accuracy_score.html -
One-class SVM with non-linear kernel (RBF) — sc...
2 ) X_train = np . r_ [ X + 2 , X - 2 ] # Generate...randn ( 20 , 2 ) X_test = np . r_ [ X + 2 , X - 2 ] # Generate...scikit-learn.org/stable/auto_examples/svm/plot_oneclass.html -
3.1. Cross-validation: evaluating estimator per...
2 , 2 , 2 , 2 ] >>> groups = [ 1 , 1 , 2 , 2 , 3 , 3...)) [2 3] [0 1] [1 3] [0 2] [1 2] [0 3] [0 3] [1 2] [0 2] [1 3]...scikit-learn.org/stable/modules/cross_validation.html -
zero_one_loss — scikit-learn 1.8.0 documentation
2 , 3 , 4 ] >>> y_true = [ 2 , 2 , 3 , 4 ] >>>...], [ 1 , 1 ]]), np . ones (( 2 , 2 ))) 0.5 On this page This Page...scikit-learn.org/stable/modules/generated/sklearn.metrics.zero_one_loss.html