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confusion_matrix_at_thresholds — scikit-learn 1...
array([2., 1., 1., 0.]) >>> fps array([0., 1., 1., 2.]) >>> fns...0.]) >>> tps array([1., 1., 2., 2.]) >>> thresholds array([0.8...scikit-learn.org/stable/modules/generated/sklearn.metrics.confusion_matrix_at_thresholds.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 -
decomposition.rst.txt
\frac{1}{2} ||X - Y||_{\mathrm{Fro}}^2 = \frac{1}{2} \sum_{i,j}...Y) = \frac{1}{2} ||X - Y||_{Fro}^2 = \frac{1}{2} \sum_{i,j} (X_{ij}...scikit-learn.org/stable/_sources/modules/decomposition.rst.txt -
manifest.json
icons[2].src: logo512.png icons[2].type: image/png icons[2].sizes:...developer.ibm.com/apis/manifest.json -
manifest.json
icons[2].src: /icon-512.png icons[2].sizes: 512x512 icons[2].type:...www.elastic.co/manifest.json -
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 -
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 -
QuadraticDiscriminantAnalysis — scikit-learn 1....
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.discriminant_analysis.QuadraticDiscriminantAnal... -
Polynomial and Spline interpolation — scikit-le...
x_0 ** 2 , x_0 ** 3 , ... , x_0 ** degree...degree ], [ 1 , x_1 , x_1 ** 2 , x_1 ** 3 , ... , x_1 ** degree...scikit-learn.org/stable/auto_examples/linear_model/plot_polynomial_interpolation.html -
make_friedman3 — scikit-learn 1.8.0 documentation
in Friedman [1] and Breiman [2]. Inputs X are 4 independent features...1 ] <= 560 * pi , 0 <= X [:, 2 ] <= 1 , 1 <= X [:, 3 ] <= 11....scikit-learn.org/stable/modules/generated/sklearn.datasets.make_friedman3.html