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NMF — scikit-learn 1.5.2 documentation
||H||_{Fro}^2\end{aligned}\end{align} \] Where: \(||A||_{Fro}^2 = \sum_{i,j}...array ([[ 1 , 1 ], [ 2 , 1 ], [ 3 , 1.2 ], [ 4 , 1 ], [ 5 , 0.8...scikit-learn.org/stable/modules/generated/sklearn.decomposition.NMF.html -
VotingRegressor — scikit-learn 1.5.2 documentation
float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...X = np . array ([[ 1 , 1 ], [ 2 , 4 ], [ 3 , 9 ], [ 4 , 16 ],...scikit-learn.org/stable/modules/generated/sklearn.ensemble.VotingRegressor.html -
RFECV — scikit-learn 1.5.2 documentation
2, 5]) property classes_ # Classes...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.RFECV.html -
RBF — scikit-learn 1.5.2 documentation
x_j)^2}{2l^2} \right)\] where \(l\) is the...very smooth. See [2] , Chapter 4, Section 4.2, for further details...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.RBF.html -
LocalOutlierFactor — scikit-learn 1.5.2 documen...
array([[2]])) As you can see, it returns [[0.5]], and [[2]], which..., metric = 'minkowski' , p = 2 , metric_params = None , contamination...scikit-learn.org/stable/modules/generated/sklearn.neighbors.LocalOutlierFactor.html -
SpectralBiclustering — scikit-learn 1.5.2 docum...
[ 2 , 1 ], [ 1 , 0 ], ... [ 4 , 7...SpectralBiclustering ( n_clusters = 2 , random_state = 0 ) . fit ( X...scikit-learn.org/stable/modules/generated/sklearn.cluster.SpectralBiclustering.html -
DotProduct — scikit-learn 1.5.2 documentation
\sigma_0^2)\) on the bias. The DotProduct...of the kernel. For \(\sigma_0^2 =0\) , the kernel is called the...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.DotProduct.html -
Normalizer — scikit-learn 1.5.2 documentation
2 , 2 ], ... [ 1 , 3 , 9 , 3 ], ......transform ( X ) array([[0.8, 0.2, 0.4, 0.4], [0.1, 0.3, 0.9, 0.3],...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.Normalizer.html -
OrdinalEncoder — scikit-learn 1.5.2 documentation
transform ( X_test ) array([[2.], [0.], [1.], [2.], [3.], [4.]]) fit (...scikit-learn 1.2 Release Highlights for scikit-learn 1.2 Categorical...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.OrdinalEncoder.html -
ExpSineSquared — scikit-learn 1.5.2 documentation
\text{exp}\left(- \frac{ 2\sin^2(\pi d(x_i, x_j)/p) }{ l^ 2} \right)\] where...0.0144... >>> gpr . predict ( X [: 2 ,:], return_std = True ) (array([425.6...,...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.ExpSineSquared.html