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log_loss — scikit-learn 1.7.2 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 -
1.13. Feature selection — scikit-learn 1....
1], [1, 0], [0, 0], [1, 1], [1, 0], [1, 1]]) As expected,...0 , 0 , 1 ], [ 0 , 1 , 0 ], [ 1 , 0 , 0 ], [ 0 , 1 , 1 ], [ 0...scikit-learn.org/stable/modules/feature_selection.html -
8.1. Toy datasets — scikit-learn 1.7.2 do...
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 -
available_if — scikit-learn 1.7.2 documen...
scikit-learn.org/stable/modules/generated/sklearn.utils.metaestimators.available_if.html -
make_circles — scikit-learn 1.7.2 documen...
int64(1), np.int64(1), np.int64(1), np.int64(0), np.int64(0)]...outer circle in the range [0, 1) . Returns : X ndarray of shape...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_circles.html -
BayesianGaussianMixture — scikit-learn 1....
array ([[ 1 , 2 ], [ 1 , 4 ], [ 1 , 0 ], [ 4 , 2 ], [...mixtures”. Bayesian analysis 1.1 Examples >>> import...scikit-learn.org/stable/modules/generated/sklearn.mixture.BayesianGaussianMixture.html -
RobustScaler — scikit-learn 1.7.2 documen...
[[ 1. , - 2. , 2. ], ... [ - 2. , 1. , 3. ], ... [ 4. , 1. ,..., -2. , 0. ], [-1. , 0. , 0.4], [ 1. , 0. , -1.6]]) fit ( X ,...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.RobustScaler.html -
1.11. Ensembles: Gradient boosting, random fore...
Gradient Boosting models 1.11.1.1.1. Usage # Most of the parameters...= [[ 1 , 0 ], ... [ 1 , 0 ], ... [ 1 , 0 ], ... [ 0 , 1 ]] >>>...scikit-learn.org/stable/modules/ensemble.html -
OutputCodeClassifier — scikit-learn 1.7.2...
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 -
quantile_transform — scikit-learn 1.7.2 d...
otherwise (if 1) transform each sample. n_quantiles...subsample=None . Added in version 1.5: The option None to disable...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.quantile_transform.html