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CCA — scikit-learn 1.5.2 documentation
[ 2. , 2. , 2. ], [ 3. , 5. , 4. ]] >>>...y = [[ 0.1 , - 0.2 ], [ 0.9 , 1.1 ], [ 6.2 , 5.9 ], [ 11.9 ,...scikit-learn.org/stable/modules/generated/sklearn.cross_decomposition.CCA.html -
MeanShift — scikit-learn 1.5.2 documentation
complexity will tend towards O(T*n^2). Scalability can be boosted by...X = np . array ([[ 1 , 1 ], [ 2 , 1 ], [ 1 , 0 ], ... [ 4 , 7...scikit-learn.org/stable/modules/generated/sklearn.cluster.MeanShift.html -
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 -
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 -
jaccard_score — scikit-learn 1.5.2 documentation
2 , 1 , 2 ] >>> y_true = [ 0 , 1 , 2 , 2 ] >>> jaccard_score...scikit-learn.org/stable/modules/generated/sklearn.metrics.jaccard_score.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 -
KMeans — scikit-learn 1.5.2 documentation
2 ], [ 1 , 4 ], [ 1 , 0 ], ... [ 10 , 2 ], [ 10 , 4...cluster_centers_ array([[10., 2.], [ 1., 2.]]) For a more detailed...scikit-learn.org/stable/modules/generated/sklearn.cluster.KMeans.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 -
KNeighborsRegressor — scikit-learn 1.5.2 docume...
array([[2]])) As you can see, it returns [[0.5]], and [[2]], which...float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...scikit-learn.org/stable/modules/generated/sklearn.neighbors.KNeighborsRegressor.html