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LearningCurveDisplay — scikit-learn 1.5.0 docum...
1, 0.33, 0.55, 0.78, 1.]) , cv = None , scoring...(n_ticks,), default=np.linspace(0.1, 1.0, 5) Relative or absolute numbers...scikit-learn.org/stable/modules/generated/sklearn.model_selection.LearningCurveDisplay.html -
NeighborhoodComponentsAnalysis — scikit-learn 1...
If 1, progress messages will be printed to stdout. If > 1, progress...all strings. Added in version 1.0. See also sklearn.discrimin...scikit-learn.org/stable/modules/generated/sklearn.neighbors.NeighborhoodComponentsAnalysis.html -
ExpSineSquared — scikit-learn 1.5.0 documentation
ExpSineSquared ( length_scale = 1.0 , periodicity = 1.0 , length_scale_bounds...ExpSineSquared ( length_scale = 1 , periodicity = 1 ) >>> gpr = GaussianProcessRegre...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.ExpSineSquared.html -
affinity_propagation — scikit-learn 1.5.0 docum...
array ([[ 1 , 2 ], [ 1 , 4 ], [ 1 , 0 ], ... [ 4 , 2...>>> labels array([0, 0, 0, 1, 1, 1]) Gallery examples # Visualizing...scikit-learn.org/stable/modules/generated/sklearn.cluster.affinity_propagation.html -
plot_release_highlights_1_4_0.py
1, 6, np.nan]).reshape(-1, 1) y = [0, 0, 1, 1] forest...3) disp.axes_[0, 0].set_xlim(-1, 1) disp.axes_[0, 0].legend() plt.show()...scikit-learn.org/stable/_downloads/c15cce0dbcd8722cb5638987eff985c0/plot_release_highlights_1_4_0.py -
KernelDensity — scikit-learn 1.5.0 documentation
log_density array([-1.52955942, -1.51462041, -1.60244657]) fit (...KernelDensity ( * , bandwidth = 1.0 , algorithm = 'auto' , kernel...scikit-learn.org/stable/modules/generated/sklearn.neighbors.KernelDensity.html -
plot_release_highlights_1_4_0.ipynb
1, 6, np.nan]).reshape(-1, 1)\ny = [0, 0, 1, 1]\n\nforest...3)\ndisp.axes_[0, 0].set_xlim(-1, 1)\ndisp.axes_[0, 0].legend()\nplt.show()"...scikit-learn.org/stable/_downloads/53490cdb42c3c07ba8cccd1c4ed4dca4/plot_release_highlights_1_4_0... -
FunctionTransformer — scikit-learn 1.5.0 docume...
Added in version 1.1. kw_args dict, default=None Dictionary...array([[0. , 0.6931...], [1.0986..., 1.3862...]]) fit ( X , y =...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.FunctionTransformer.html -
GaussianProcessRegressor — scikit-learn 1.5.0 d...
ConstantKernel(1.0, constant_value_bounds="fixed") * RBF(1.0, lengt...implementation is based on Algorithm 2.1 of [RW2006] . In addition to standard...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.GaussianProcessRegressor.html -
silhouette_samples — scikit-learn 1.5.0 documen...
The best value is 1 and the worst value is -1. Values near 0 indicate...2 <= n_labels <= n_samples - 1 . This function returns the Silhouette...scikit-learn.org/stable/modules/generated/sklearn.metrics.silhouette_samples.html