- Sort Score
- Num 10 results
- Language All
- Labels All
Results 391 - 400 of over 10,000 for 1 (1.69 seconds)
-
balanced_accuracy_score — scikit-learn 1....
1 , 0 , 0 , 1 , 0 ] >>> y_pred = [ 0 , 1 , 0 ,...each class. The best value is 1 and the worst value is 0 when...scikit-learn.org/stable/modules/generated/sklearn.metrics.balanced_accuracy_score.html -
r2_score — scikit-learn 1.8.0 documentation
1 ], [ - 1 , 1 ], [ 7 , - 6 ]] >>>...cross-validation). Added in version 1.1. Returns : z float or ndarray...scikit-learn.org/stable/modules/generated/sklearn.metrics.r2_score.html -
Binarizer — scikit-learn 1.8.0 documentation
( X ) array([[1., 0., 1.], [1., 0., 0.], [0., 1., 0.]]) fit (...= [[ 1. , - 1. , 2. ], ... [ 2. , 0. , 0. ], ... [ 0. , 1. , -...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.Binarizer.html -
MeanShift — scikit-learn 1.8.0 documentation
array ([[ 1 , 1 ], [ 2 , 1 ], [ 1 , 0 ], ... [ 4 , 7...clustering . labels_ array([1, 1, 1, 0, 0, 0]) >>> clustering...scikit-learn.org/stable/modules/generated/sklearn.cluster.MeanShift.html -
MultiLabelBinarizer — scikit-learn 1.8.0 ...
fit_transform ([( 1 , 2 ), ( 3 ,)]) array([[1, 1, 0], [0, 0, 1]]) >>>...'comedy' }]) array([[0, 1, 1], [1, 0, 0]]) >>> list...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.MultiLabelBinarizer.html -
Sum — scikit-learn 1.8.0 documentation
y ) 1.0 >>> kernel 1.41**2 + RBF(length_scale=1) __call__...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.Sum.html -
QuadraticDiscriminantAnalysis — scikit-le...
([[ - 1 , - 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2...2 , 1 ], [ 3 , 2 ]]) >>> y = np . array ([ 1 , 1 , 1...scikit-learn.org/stable/modules/generated/sklearn.discriminant_analysis.QuadraticDiscriminantAnal... -
fetch_20newsgroups_vectorized — scikit-le...
Added in version 1.5. delay float, default=1.0 Number of seconds...False , n_retries = 3 , delay = 1.0 ) [source] # Load and vectorize...scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_20newsgroups_vectorized.html -
TargetEncoder — scikit-learn 1.8.0 docume...
1 ] * 15 + [ 20.4 ] * 5 + [ 20.1 ] * 25 + [ 21.2...scikit-learn 1.3 Release Highlights for scikit-learn 1.3 On this...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.TargetEncoder.html -
Product — scikit-learn 1.8.0 documentation
y ) 1.0 >>> kernel 1.41**2 * RBF(length_scale=1) __call__...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.Product.html