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PredictionErrorDisplay — scikit-learn 1.7.2 doc...
scikit-learn 1.2 Release Highlights for scikit-learn 1.2 On this...Evaluation Guide . Added in version 1.2. Parameters : y_true ndarray...scikit-learn.org/stable/modules/generated/sklearn.metrics.PredictionErrorDisplay.html -
spectral_clustering — scikit-learn 1.7.2 docume...
array ([[ 1 , 1 ], [ 2 , 1 ], [ 1 , 0 ], ... [ 4 , 7...random_state = 0 ... ) array([1, 1, 1, 0, 0, 0]) Gallery examples...scikit-learn.org/stable/modules/generated/sklearn.cluster.spectral_clustering.html -
KFold — scikit-learn 1.7.2 documentation
3] Test: index=[0 1] Fold 1: Train: index=[0 1] Test: index=[2...X = np . array ([[ 1 , 2 ], [ 3 , 4 ], [ 1 , 2 ], [ 3 , 4 ]])...scikit-learn.org/stable/modules/generated/sklearn.model_selection.KFold.html -
1.13. Feature selection — scikit-learn 1.7.2 do...
[1, 0], [0, 0], [1, 1], [1, 0], [1, 1]]) As expected, VarianceThreshold...0 , 0 , 1 ], [ 0 , 1 , 0 ], [ 1 , 0 , 0 ], [ 0 , 1 , 1 ], [ 0...scikit-learn.org/stable/modules/feature_selection.html -
BayesianGaussianMixture — scikit-learn 1.7.2 do...
array ([[ 1 , 2 ], [ 1 , 4 ], [ 1 , 0 ], [ 4 , 2 ], [...mixtures”. Bayesian analysis 1.1 Examples >>> import numpy as...scikit-learn.org/stable/modules/generated/sklearn.mixture.BayesianGaussianMixture.html -
check_array — scikit-learn 1.7.2 documentation
ensure_min_samples = 1 , ensure_min_features = 1 , estimator = None...documentation. Added in version 1.1.0. Returns : array_converted...scikit-learn.org/stable/modules/generated/sklearn.utils.check_array.html -
8.1. Toy datasets — scikit-learn 1.7.2 document...
length: 1.0 6.9 3.76 1.76 0.9490 (high!) petal width: 0.1 2.5 1.20...0.41 3.58 1.59 0.57 Colour Intensity: 1.3 13.0 5.1 2.3 Hue: 0.48...scikit-learn.org/stable/datasets/toy_dataset.html -
enet_path — scikit-learn 1.7.2 documentation
l1_ratio * || w || _1 + 0.5 * alpha * ( 1 - l1_ratio ) * || w...0.568], [ 0., 1.120, 0.620], [-0., -2.129, -1.128], [ 0., 23.046,...scikit-learn.org/stable/modules/generated/sklearn.linear_model.enet_path.html -
brier_score_loss — scikit-learn 1.7.2 documenta...
y_true in {-1, 1} or {0, 1}, pos_label defaults to 1; else if y_true...defined as: \[\frac{1}{N}\sum_{i=1}^{N}\sum_{c=1}^{C}(y_{ic} - \hat{p}_{ic})^{2}\]...scikit-learn.org/stable/modules/generated/sklearn.metrics.brier_score_loss.html -
OutputCodeClassifier — scikit-learn 1.7.2 docum...
means 1 unless in a joblib.parallel_backend context. -1 means...( estimator , * , code_size = 1.5 , random_state = None , n_jobs...scikit-learn.org/stable/modules/generated/sklearn.multiclass.OutputCodeClassifier.html