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Ridge — scikit-learn 1.5.2 documentation
function: || y - Xw ||^ 2_2 + alpha * || w ||^ 2_2 This model solves...float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...scikit-learn.org/stable/modules/generated/sklearn.linear_model.Ridge.html -
SpectralEmbedding — scikit-learn 1.5.2 document...
SpectralEmbedding ( n_components = 2 , * , affinity = 'nearest_neighbors'...Parameters : n_components int, default=2 The dimension of the projected...scikit-learn.org/stable/modules/generated/sklearn.manifold.SpectralEmbedding.html -
OrthogonalMatchingPursuit — scikit-learn 1.5.2 ...
float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...coefficient of determination \(R^2\) is defined as \((1 - \frac{u}{v})\)...scikit-learn.org/stable/modules/generated/sklearn.linear_model.OrthogonalMatchingPursuit.html -
GaussianProcessRegressor — scikit-learn 1.5.2 d...
float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...implementation is based on Algorithm 2.1 of [RW2006] . In addition to...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.GaussianProcessRegressor.html -
ledoit_wolf — scikit-learn 1.5.2 documentation
2 ], [ .2 , .8 ]]) >>> rng = np . random...scikit-learn.org/stable/modules/generated/sklearn.covariance.ledoit_wolf.html -
NuSVR — scikit-learn 1.5.2 documentation
float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...for Support Vector Machines [ 2 ] Platt, John (1999). “Probabilistic...scikit-learn.org/stable/modules/generated/sklearn.svm.NuSVR.html -
SGDOneClassSVM — scikit-learn 1.5.2 documentation
[ - 2 , - 1 ], [ 1 , 1 ], [ 2 , 1 ]]) >>> clf =...scikit-learn.org/stable/modules/generated/sklearn.linear_model.SGDOneClassSVM.html -
MDS — scikit-learn 1.5.2 documentation
MDS ( n_components = 2 , * , metric = True , n_init =...Parameters : n_components int, default=2 Number of dimensions in which...scikit-learn.org/stable/modules/generated/sklearn.manifold.MDS.html -
MultiOutputRegressor — scikit-learn 1.5.2 docum...
float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...coefficient of determination \(R^2\) is defined as \((1 - \frac{u}{v})\)...scikit-learn.org/stable/modules/generated/sklearn.multioutput.MultiOutputRegressor.html -
ExtraTreesRegressor — scikit-learn 1.5.2 docume...
float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...= None , min_samples_split = 2 , min_samples_leaf = 1 , min_...scikit-learn.org/stable/modules/generated/sklearn.ensemble.ExtraTreesRegressor.html