- Sort Score
- Num 10 results
- Language All
- Labels All
Results 1191 - 1200 of over 10,000 for 1 (5.37 seconds)
Filter
-
make_classification — scikit-learn 1.8.0 docume...
class_sep = 1.0 , hypercube = True , shift = 0.0 , scale = 1.0 , shuffle...[np.int64(0), np.int64(0), np.int64(1), np.int64(1), np.int64(0)] Gallery...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_classification.html -
SpectralClustering — scikit-learn 1.8.0 documen...
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.SpectralClustering.html -
enet_path — scikit-learn 1.8.0 documentation
1.120, 0.620], [-0., -2.129, -1.128], [ 0., 23.046,...For mono-output tasks it is: 1 / ( 2 * n_samples ) * || y - Xw...scikit-learn.org/stable/modules/generated/sklearn.linear_model.enet_path.html -
manhattan_distances — scikit-learn 1.8.0 docume...
]]) array([[1.]]) >>> manhattan_distances ([[ 1 , 2 ], [ 3 ,...manhattan_distances ([[ 3 ]], [[ 2 ]]) array([[1.]]) >>> manhattan_distances ([[...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.manhattan_distances.html -
check_array — scikit-learn 1.8.0 documentation
ensure_min_samples = 1 , ensure_min_features = 1 , estimator = None...documentation. Added in version 1.1.0. Returns : array_converted...scikit-learn.org/stable/modules/generated/sklearn.utils.check_array.html -
TSNE — scikit-learn 1.8.0 documentation
1 , 1 ], [ 1 , 0 , 1 ], [ 1 , 1 , 1 ]]) >>> X_embedded...metric function. Added in version 1.1. init {“random”, “pca”} or ndarray...scikit-learn.org/stable/modules/generated/sklearn.manifold.TSNE.html -
SpectralCoclustering — scikit-learn 1.8.0 docum...
array ([[ 1 , 1 ], [ 2 , 1 ], [ 1 , 0 ], ... [ 4 , 7...clustering . row_labels_ array([0, 1, 1, 0, 0, 0], dtype=int32) >>>...scikit-learn.org/stable/modules/generated/sklearn.cluster.SpectralCoclustering.html -
SGDRegressor — scikit-learn 1.8.0 documentation
l1_ratio <= 1. l1_ratio=0 corresponds to L2 penalty, l1_ratio=1 to L1....passive-aggressive algorithm 1, see [1] . Only with loss='epsilon_insensitive'...scikit-learn.org/stable/modules/generated/sklearn.linear_model.SGDRegressor.html -
GaussianMixture — scikit-learn 1.8.0 documentation
array ([[ 1 , 2 ], [ 1 , 4 ], [ 1 , 0 ], [ 10 , 2 ],...GaussianMixture ( n_components = 1 , * , covariance_type = 'full'...scikit-learn.org/stable/modules/generated/sklearn.mixture.GaussianMixture.html -
MiniBatchNMF — scikit-learn 1.8.0 documentation
array ([[ 1 , 1 ], [ 2 , 1 ], [ 3 , 1.2 ], [ 4 , 1 ], [ 5 , 0.8...scikit-learn 1.1 Release Highlights for scikit-learn 1.1 On this page...scikit-learn.org/stable/modules/generated/sklearn.decomposition.MiniBatchNMF.html