- Sort Score
- Result 10 results
- Languages All
- Labels All
Results 731 - 740 of 5,620 for * (1.74 sec)
-
silhouette_score — scikit-learn 1.7.2 documenta...
kmeans . fit_predict ( X )) 0.49... Gallery examples # Demo of affinity...for a sample is (b - a) / max(a, b) . To clarify, b is the distance...scikit-learn.org/stable/modules/generated/sklearn.metrics.silhouette_score.html -
Installing the development version of scikit-le...
--verbose --no-build-isolation \ --config-settings editable-verbose...--editable . --verbose --no-build-isolation --config-settings editable-verbose...scikit-learn.org/stable/developers/advanced_installation.html -
MeanShift — scikit-learn 1.7.2 documentation
= np . array ([[ 1 , 1 ], [ 2 , 1 ], [ 1 , 0 ], ... [ 4 , 7 ],...= 2 ) . fit ( X ) >>> clustering . labels_ array([1, 1, 1, 0,...scikit-learn.org/stable/modules/generated/sklearn.cluster.MeanShift.html -
GaussianProcessClassifier — scikit-learn 1.7.2 ...
the GP. If None is passed, the kernel “1.0 * RBF(1.0)” is used...load_iris ( return_X_y = True ) >>> kernel = 1.0 * RBF ( 1.0 ) >>>...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.GaussianProcessClassifier.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 -
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 -
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 -
CalibrationDisplay — scikit-learn 1.7.2 documen...
CalibrationDisplay ( prob_true , prob_pred , y_prob ) >>> disp . plot () <...>...from_estimator ( estimator , X , y , * , n_bins = 5 , strategy = 'uniform'...scikit-learn.org/stable/modules/generated/sklearn.calibration.CalibrationDisplay.html -
load_breast_cancer — scikit-learn 1.7.2 documen...
load_breast_cancer () >>> data . target [[ 10 , 50 , 85 ]] array([0, 1, 0]) >>>...list ( data . target_names ) [np.str_('malignant'), np.str_('benign')]...scikit-learn.org/stable/modules/generated/sklearn.datasets.load_breast_cancer.html -
make_gaussian_quantiles — scikit-learn 1.7.2 do...
[np.int64(2), np.int64(0), np.int64(1), np.int64(0), np.int64(2)]...X . shape (100, 2) >>> y . shape (100,) >>> list ( y [: 5 ]) [np.int64(2),...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_gaussian_quantiles.html