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Contributing — scikit-learn 1.7.2 documentation
git@github.com:YourLogin/scikit-learn.git # add --depth 1 if your...n/scikit-learn.git (push) upstream git@github.com:scikit-learn/scikit-learn.git...scikit-learn.org/stable/developers/contributing.html -
Bunch — scikit-learn 1.7.2 documentation
Bunch ( a = 1 , b = 2 ) >>> b [ 'b' ] 2 >>> b . b 2 >>> b . a =...KeyError. popitem ( / ) # Remove and return a (key, value) pair...scikit-learn.org/stable/modules/generated/sklearn.utils.Bunch.html -
OneClassSVM — scikit-learn 1.7.2 documentation
{‘linear’, ‘poly’, ‘rbf’, ‘sigmoid’, ‘precomputed’} or callable, default=’rbf’...'scale' , coef0 = 0.0 , tol = 0.001 , nu = 0.5 , shrinking = True...scikit-learn.org/stable/modules/generated/sklearn.svm.OneClassSVM.html -
plot_classifier_comparison.zip
= X[:, 0].min() - 0.5, X[:, 0].max() + 0.5 y_min, y_max = X[:,...X[:, 1].min() - 0.5, X[:, 1].max() + 0.5 # just plot the dataset...scikit-learn.org/stable/_downloads/ce35bcc69acbd491cf7ac77fa17889d5/plot_classifier_comparison.zip -
plot_classifier_comparison.py
= X[:, 0].min() - 0.5, X[:, 0].max() + 0.5 y_min, y_max = X[:,...X[:, 1].min() - 0.5, X[:, 1].max() + 0.5 # just plot the dataset...scikit-learn.org/stable/_downloads/2da0534ab0e0c8241033bcc2d912e419/plot_classifier_comparison.py -
auto_examples_python.zip
- orig) / dx).astype(np.int64) alpha = (x - orig - floor_x *...* dx) / dx return np.hstack((floor_x, floor_x + 1)), np.hstack((1...scikit-learn.org/stable/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip -
Multiclass methods — scikit-learn 1.7.2 documen...
top Ctrl + K GitHub Choose version Multiclass methods # Examples...concerning the sklearn.multiclass module. Overview of multiclass...scikit-learn.org/stable/auto_examples/multiclass/index.html -
Multioutput methods — scikit-learn 1.7.2 docume...
top Ctrl + K GitHub Choose version Multioutput methods # Examples...concerning the sklearn.multioutput module. Multilabel classification...scikit-learn.org/stable/auto_examples/multioutput/index.html -
v_measure_score — scikit-learn 1.7.2 documentation
v_measure_score ([ 0 , 0 , 1 , 1 ], [ 0 , 0 , 1 , 1 ]) 1.0 >>> v_measure_score...v_measure_score ([ 0 , 0 , 1 , 1 ], [ 1 , 1 , 0 , 0 ]) 1.0 Labelings...scikit-learn.org/stable/modules/generated/sklearn.metrics.v_measure_score.html -
ShrunkCovariance — scikit-learn 1.7.2 documenta...
covariance_ array([[0.7387, 0.2536], [0.2536, 0.4110]]) >>> cov . location_...sqrt(tr(A^t.A)) - ‘spectral’: sqrt(max(eigenvalues(A^t.A)) where...scikit-learn.org/stable/modules/generated/sklearn.covariance.ShrunkCovariance.html