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Sum — scikit-learn 1.5.2 documentation
takes two kernels \(k_1\) and \(k_2\) and combines them via \[k_{sum}(X,...\[k_{sum}(X, Y) = k_1(X, Y) + k_2(X, Y)\] Note that the __add__ magic...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.Sum.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 -
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 -
ハンズオン セクション 2 | DBFlute
Author's Blog (旧ページ)ハンズオン セクション 2 ページが移動しました ページが移動しました 絶賛ハンズオンリファクタリング中です。...絶賛ハンズオンリファクタリング中です。 ハンズオントレーニング Section 2 アーキテクトのチュートリアル 必要な知識 開発時にやるべきこと...dbflute.seasar.org/ja/tutorial/handson/phase1/hands-on02.html -
Kernel — scikit-learn 1.5.2 documentation
length_scale = 2.0 ) >>> X = np . array ([[ 1 , 2 ], [ 3 , 4 ]])..., X if Y is None else Y ) ** 2 ... def diag ( self , X ): ......scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.Kernel.html -
AgglomerativeClustering — scikit-learn 1.5.2 do...
2 ], [ 1 , 4 ], [ 1 , 0 ], ... [ 4 , 2 ], [ 4 , 4...AgglomerativeCluster ( n_clusters = 2 , * , metric = 'euclidean' , memory...scikit-learn.org/stable/modules/generated/sklearn.cluster.AgglomerativeClustering.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 -
PassiveAggressiveRegressor — scikit-learn 1.5.2...
float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...[1, n_features] if n_classes == 2 else [n_classes, n_features] Weights...scikit-learn.org/stable/modules/generated/sklearn.linear_model.PassiveAggressiveRegressor.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 -
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