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GaussianProcessClassifier — scikit-learn 1.7.2 ...
1, 3.2, and 5.1 from [RW2006] . Internally,...None is passed, the kernel “1.0 * RBF(1.0)” is used as default. Note...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.GaussianProcessClassifier.html -
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 -
LearningCurveDisplay — scikit-learn 1.7.2 docum...
1, 0.33, 0.55, 0.78, 1.]) , cv = None , scoring...(n_ticks,), default=np.linspace(0.1, 1.0, 5) Relative or absolute numbers...scikit-learn.org/stable/modules/generated/sklearn.model_selection.LearningCurveDisplay.html -
TransformedTargetRegressor — scikit-learn 1.7.2...
reshape ( - 1 , 1 ) >>> y = np . exp ( 2 * X )...all strings. Added in version 1.0. See also sklearn.preproces...scikit-learn.org/stable/modules/generated/sklearn.compose.TransformedTargetRegressor.html -
make_circles — scikit-learn 1.7.2 documentation
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 -
ledoit_wolf — scikit-learn 1.7.2 documentation
regularized (shrunk) covariance is: (1 - shrinkage) * cov + shrinkage...scikit-learn.org/stable/modules/generated/sklearn.covariance.ledoit_wolf.html -
9.1. Strategies to scale computationally: bigge...
1.1.1. Streaming instances # Basically, 1. may be a...to make your system scale. 9.1.1. Scaling with instances using...scikit-learn.org/stable/computing/scaling_strategies.html -
ExpSineSquared — scikit-learn 1.7.2 documentation
ExpSineSquared ( length_scale = 1.0 , periodicity = 1.0 , length_scale_bounds...ExpSineSquared ( length_scale = 1 , periodicity = 1 ) >>> gpr = GaussianProcessRegre...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.ExpSineSquared.html -
load_wine — scikit-learn 1.7.2 documentation
1, 2]) >>> list ( data . target_names...[np.str_('class_0'), np.str_('class_1'), np.str_('class_2')] Gallery...scikit-learn.org/stable/modules/generated/sklearn.datasets.load_wine.html -
8.3. Generated datasets — scikit-learn 1.7.2 do...
1.1. Single label # make_blobs creates..."n_informative" : 1 , "n_clusters_per_class" : 1 , "n_classes" :...scikit-learn.org/stable/datasets/sample_generators.html