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scale — scikit-learn 1.8.0 documentation
independently array([[-1., 1., 1.], [ 1., -1., -1.]]) >>>...>>> X = [[ - 2 , 1 , 2 ], [ - 1 , 0 , 1 ]] >>> scale...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.scale.html -
Visualizations with Display Objects — sci...
deprecated:: 1.8 `penalty` was deprecated in version 1.8 and will...with `0 = l1_ratio = 1`. Setting `l1_ratio=1` gives a pure L1-penalty,...scikit-learn.org/stable/auto_examples/miscellaneous/plot_display_object_visualization.html -
Decision Tree Regression — scikit-learn 1...
RandomState ( 1 ) X = np . sort ( 5 * rng . rand ( 80 , 1 ), axis =...feature. - 1: monotonic increase - 0: no constraint - -1: monotonic...scikit-learn.org/stable/auto_examples/tree/plot_tree_regression.html -
KNeighborsTransformer — scikit-learn 1.8....
() array([[1., 0., 1.], [0., 1., 1.], [1., 0., 1.]]) set_output...rs=1) >>> print ( neigh . kneighbors ([[ 1. , 1. , 1....scikit-learn.org/stable/modules/generated/sklearn.neighbors.KNeighborsTransformer.html -
fast_logdet — scikit-learn 1.8.0 document...
scikit-learn.org/stable/modules/generated/sklearn.utils.extmath.fast_logdet.html -
Introducing the set_output API — scikit-l...
798301 -1.271411 -1.327605 12 -1.244466 -0.086944 -1.327407 -1.459074...60 5.0 2.0 3.5 1.0 1 4.9 3.0 1.4 0.2 8 4.4 2.9 1.4 0.2 93 5.0 2.3...scikit-learn.org/stable/auto_examples/miscellaneous/plot_set_output.html -
SVC — scikit-learn 1.8.0 documentation
array ([[ - 1 , - 1 ], [ - 2 , - 1 ], [ 1 , 1 ], [ 2 , 1 ]]) >>>...default=-1 Hard limit on iterations within solver, or -1 for no...scikit-learn.org/stable/modules/generated/sklearn.svm.SVC.html -
RadiusNeighborsRegressor — scikit-learn 1...
() array([[1., 0., 1.], [0., 1., 0.], [1., 0., 1.]]) score (...], [ 1 ], [ 2 ], [ 3 ]] >>> y = [ 0 , 0 , 1 , 1 ] >>>...scikit-learn.org/stable/modules/generated/sklearn.neighbors.RadiusNeighborsRegressor.html -
det_curve — scikit-learn 1.8.0 documentation
y_true is in {-1, 1} or {0, 1}, pos_label is set to 1, otherwise...labels are not either {-1, 1} or {0, 1}, then pos_label should...scikit-learn.org/stable/modules/generated/sklearn.metrics.det_curve.html -
RBF — scikit-learn 1.8.0 documentation
) >>> kernel = 1.0 * RBF ( 1.0 ) >>> gpc = ...ernels. RBF ( length_scale = 1.0 , length_scale_bounds = (1e-05,...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.RBF.html