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as_float_array — scikit-learn 1.8.0 documentation
scikit-learn.org/stable/modules/generated/sklearn.utils.as_float_array.html -
NearestCentroid — scikit-learn 1.8.0 documentation
2 ]]) >>> y = np . array ([ 1 , 1 , 1 , 2 , 2 , 2 ]) >>>...- 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2 , 1 ], [ 3...scikit-learn.org/stable/modules/generated/sklearn.neighbors.NearestCentroid.html -
MultiTaskLassoCV — scikit-learn 1.8.0 documenta...
it is: ( 1 / ( 2 * n_samples )) * || Y - XW ||^ 2 _Fro + alpha...X = np . array ([[ 1 , 2 , 3.1 ], [ 2.3 , 5.4 , 4.3 ]]) . T >>>...scikit-learn.org/stable/modules/generated/sklearn.linear_model.MultiTaskLassoCV.html -
PredefinedSplit — scikit-learn 1.8.0 documentation
2 ], [ 3 , 4 ], [ 1 , 2 ], [ 3 , 4 ]]) >>>...index=[1 2 3] Test: index=[0] Fold 1: Train: index=[0 2] Test:...scikit-learn.org/stable/modules/generated/sklearn.model_selection.PredefinedSplit.html -
locally_linear_embedding — scikit-learn 1.8.0 d...
(n_components + 1) / 2. see reference [2] modified use the modified...n_components = 2 ) >>> embedding . shape (100, 2) Gallery examples...scikit-learn.org/stable/modules/generated/sklearn.manifold.locally_linear_embedding.html -
Manifold Learning methods on a severed sphere —...
2 sec ISO: 0.11 sec MDS: 1.1 sec...projections with matplotlib < 3.2 import mpl_toolkits.mplot3d #...scikit-learn.org/stable/auto_examples/manifold/plot_manifold_sphere.html -
DotProduct — scikit-learn 1.8.0 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 -
Receiver Operating Characteristic (ROC) with cr...
= 2 ], y [ y != 2 ] n_samples , n_features...linearly separable from the other 2; the latter are not linearly separable...scikit-learn.org/stable/auto_examples/model_selection/plot_roc_crossval.html -
Simple 1D Kernel Density Estimation — scikit-le...
subplots ( 2 , 2 , sharex = True , sharey = True...1.05 ) axi . set_xlim ( - 2.9 , 2.9 ) ax [ 0 , 1 ] . set_title...scikit-learn.org/stable/auto_examples/neighbors/plot_kde_1d.html -
PLSCanonical — scikit-learn 1.8.0 documentation
[ 2. , 2. , 2. ], [ 2. , 5. , 4. ]] >>> y =...= [[ 0.1 , - 0.2 ], [ 0.9 , 1.1 ], [ 6.2 , 5.9 ], [ 11.9 , 12.3...scikit-learn.org/stable/modules/generated/sklearn.cross_decomposition.PLSCanonical.html