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d2_absolute_error_score — scikit-learn 1.8.0 do...
2 , 3 ] >>> y_pred = [ 2 , 2 , 2 ] >>> d2_absolute_error_score...3 , - 0.5 , 2 , 7 ] >>> y_pred = [ 2.5 , 0.0 , 2 , 8 ] >>> d...scikit-learn.org/stable/modules/generated/sklearn.metrics.d2_absolute_error_score.html -
power_transform — scikit-learn 1.8.0 documentation
2 ], [ 3 , 2 ], [ 4 , 5 ]] >>> print...and negative values ‘box-cox’ [2] , only works with strictly positive...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.power_transform.html -
RationalQuadratic — scikit-learn 1.8.0 document...
x_j)^2 }{ 2\alpha l^2}\right)^{-\alpha}\] where...>>> gpc . predict_proba ( X [: 2 ,:]) array([[0.8881, 0.0566, 0.05518],...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.RationalQuadratic.html -
7.9. Transforming the prediction target (y) — s...
array([2, 2, 1]) >>> list ( le . inverse_transform ([ 2 , 2 , 1...y = [[ 2 , 3 , 4 ], [ 2 ], [ 0 , 1 , 3 ], [ 0 , 1 , 2 , 3 , 4...scikit-learn.org/stable/modules/preprocessing_targets.html -
additive_chi2_kernel — scikit-learn 1.8.0 docum...
-2.], [-2., -1.]]) On this page This...given by: k(x, y) = -Sum [(x - y)^2 / (x + y)] It can be interpreted...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.additive_chi2_kernel.html -
TimeSeriesSplit — scikit-learn 1.8.0 documentation
2 ], [ 3 , 4 ], [ 1 , 2 ], [ 3 , 4 ], [ 1 , 2 ], [ 3 ,...1] Test: index=[2] Fold 2: Train: index=[0 1 2] Test: index=[3]...scikit-learn.org/stable/modules/generated/sklearn.model_selection.TimeSeriesSplit.html -
Plot different SVM classifiers in the iris data...
subplots ( 2 , 2 ) plt . subplots_adjust ( wspace...dataset. We only consider the first 2 features of this dataset: Sepal...scikit-learn.org/stable/auto_examples/svm/plot_iris_svc.html -
Importance of Feature Scaling — scikit-learn 1....
section we select a subset of 2 features that have values with...) = plt . subplots ( ncols = 2 , figsize = ( 12 , 6 )) fit_and_plot_model...scikit-learn.org/stable/auto_examples/preprocessing/plot_scaling_importance.html -
make_moons — scikit-learn 1.8.0 documentation
2 , random_state = 42 ) >>> X . shape (200, 2) >>> y ....n_samples int or tuple of shape (2,), dtype=int, default=100 If int,...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_moons.html -
make_biclusters — scikit-learn 1.8.0 documentation
shape (2, 10) >>> cols . shape (2, 20) Gallery examples...shape = ( 10 , 20 ), n_clusters = 2 , random_state = 42 ... ) >>>...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_biclusters.html