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mean_variance_axis — scikit-learn 1.6.1 documen...
1 , 2 , 2 ]) >>> data = np . array ([ 8 , 1 , 2 , 5 ])...of CSR or CSC format. axis {0, 1} Axis along which the axis should...scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs.mean_variance_axis.html -
NearestNeighbors — scikit-learn 1.7.0 documenta...
() array([[1., 0., 1.], [0., 1., 1.], [1., 0., 1.]]) radius_neighbors...() array([[1., 0., 1.], [0., 1., 0.], [1., 0., 1.]]) set_params...scikit-learn.org/stable/modules/generated/sklearn.neighbors.NearestNeighbors.html -
plot_release_highlights_1_6_0.zip
1, 6, np.nan]).reshape(-1, 1) y = [0, 0, 1, 1] forest...np.array([0, 1, 6, np.nan]).reshape(-1, 1)\ny = [0, 0, 1, 1]\n\nforest...scikit-learn.org/stable/_downloads/151e78f803ff9f3154dd7dbbaf45e0b0/plot_release_highlights_1_6_0... -
LabelBinarizer — scikit-learn 1.7.0 documentation
array([[1, 0, 0], [0, 1, 0], [0, 0, 1], [0, 1, 0]]) fit ( y ) [source]...array([1, 2, 4, 6]) >>> lb . transform ([ 1 , 6 ]) array([[1, 0,...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.LabelBinarizer.html -
plot_release_highlights_1_7_0.rst.txt
#sk-container-id-1 pre { padding: 0; } #sk-container-id-1 input.sk-hidden--visually...ound); flex-grow: 1; } #sk-container-id-1 div.sk-parallel { display:...scikit-learn.org/stable/_sources/auto_examples/release_highlights/plot_release_highlights_1_7_0.r... -
KNeighborsClassifier — scikit-learn 1.7.0 docum...
() array([[1., 0., 1.], [0., 1., 1.], [1., 0., 1.]]) predict...bors=1) >>> print ( neigh . kneighbors ([[ 1. , 1. , 1. ]]))...scikit-learn.org/stable/modules/generated/sklearn.neighbors.KNeighborsClassifier.html -
KNeighborsRegressor — scikit-learn 1.7.0 docume...
() array([[1., 0., 1.], [0., 1., 1.], [1., 0., 1.]]) predict...bors=1) >>> print ( neigh . kneighbors ([[ 1. , 1. , 1. ]]))...scikit-learn.org/stable/modules/generated/sklearn.neighbors.KNeighborsRegressor.html -
OPTICS — scikit-learn 1.7.0 documentation
1, 1, 1]) For a more detailed example...min_samples int > 1 or float between 0 and 1, default=5 The number...scikit-learn.org/stable/modules/generated/sklearn.cluster.OPTICS.html -
inplace_column_scale — scikit-learn 1.6.1 docum...
1 , 2 , 2 ]) >>> data = np . array ([ 8 , 1 , 2 , 5 ])...csr . todense () matrix([[8, 1, 2], [0, 0, 5], [0, 0, 0], [0,...scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs.inplace_column_scale.html -
ConstantKernel — scikit-learn 1.7.0 documentation
\[k(x_1, x_2) = constant\_value \;\forall\; x_1, x_2\] Adding...predict ( X [: 1 ,:], return_std = True ) (array([606.1]), array([0.248]))...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.ConstantKernel.html