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LabelSpreading — scikit-learn 1.7.1 documentation
means 1 unless in a joblib.parallel_backend context. -1 means...Clamping factor. A value in (0, 1) that specifies the relative amount...scikit-learn.org/stable/modules/generated/sklearn.semi_supervised.LabelSpreading.html -
TransformedTargetRegressor — scikit-learn 1.7.1...
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 -
TargetEncoder — scikit-learn 1.7.1 documentation
1 ] * 15 + [ 20.4 ] * 5 + [ 20.1 ] * 25 + [ 21.2...scikit-learn 1.3 Release Highlights for scikit-learn 1.3 On this...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.TargetEncoder.html -
LearningCurveDisplay — scikit-learn 1.7.1 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 -
GaussianProcessRegressor — scikit-learn 1.7.1 d...
ConstantKernel(1.0, constant_value_bounds="fixed") * RBF(1.0, lengt...implementation is based on Algorithm 2.1 of [RW2006] . In addition to standard...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.GaussianProcessRegressor.html -
FeatureAgglomeration — scikit-learn 1.7.1 docum...
version 1.0. children_ array-like of shape (n_nodes-1, 2) The...fit method. Added in version 1.2. memory str or object with the...scikit-learn.org/stable/modules/generated/sklearn.cluster.FeatureAgglomeration.html -
ExpSineSquared — scikit-learn 1.7.1 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 -
Sum — scikit-learn 1.7.1 documentation
y ) 1.0 >>> kernel 1.41**2 + RBF(length_scale=1) __call__...kernel takes two kernels \(k_1\) and \(k_2\) and combines them...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.Sum.html -
RBF — scikit-learn 1.7.1 documentation
return_X_y = True ) >>> kernel = 1.0 * RBF ( 1.0 ) >>> gpc = GaussianProcessClass...ernels. RBF ( length_scale = 1.0 , length_scale_bounds = (1e-05,...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.RBF.html -
PatchExtractor — scikit-learn 1.7.1 documentation
1), it is taken to mean a proportion...load_sample_images () . images [ 1 ] >>> X = X [ None , ... ] >>>...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.image.PatchExtractor.html