- Sort Score
- Result 10 results
- Languages All
- Labels All
Results 171 - 180 of 3,499 for 1 (0.07 sec)
-
fetch_file — scikit-learn 1.6.0 documentation
delay = 1 ) [source] # Fetch a file from...re-downloading. Added in version 1.6. Parameters : url str URL of...scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_file.html -
Release Highlights for scikit-learn 1.4 — sciki...
0 1.0 0.862662 1.0 0.0 1.401826 0.0 1.0 -0.754829 1.0 0.0...array ([ 0 , 1 , 6 , np . nan ]) . reshape ( - 1 , 1 ) y = [ 0 ,...scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_4_0.html -
Release Highlights for scikit-learn 1.3 — sciki...
scikit-learn 1.1 Release Highlights for scikit-learn 1.1 Demo of HDBSCAN...array ([ 0 , 1 , 6 , np . nan ]) . reshape ( - 1 , 1 ) y = [ 0 ,...scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_3_0.html -
CCA — scikit-learn 1.6.0 documentation
1 , - 0.2 ], [ 0.9 , 1.1 ], [ 6.2 , 5.9 ],...version 1.5: Y is deprecated in 1.5 and will be removed in 1.7. Use...scikit-learn.org/stable/modules/generated/sklearn.cross_decomposition.CCA.html -
LabelBinarizer — scikit-learn 1.6.0 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 -
VotingRegressor — scikit-learn 1.6.0 documentation
means 1 unless in a joblib.parallel_backend context. -1 means...KNeighborsRegressor () >>> X = np . array ([[ 1 , 1 ], [ 2 , 4 ], [ 3 , 9 ], [ 4...scikit-learn.org/stable/modules/generated/sklearn.ensemble.VotingRegressor.html -
DotProduct — scikit-learn 1.6.0 documentation
1)\) priors on the coefficients of \(x_d (d = 1, . . ....nels. DotProduct ( sigma_0 = 1.0 , sigma_0_bounds = (1e-05, 100000.0)...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.DotProduct.html -
FeatureAgglomeration — scikit-learn 1.6.0 docum...
version 1.5: Xt was deprecated in 1.5 and will be removed in 1.7....version 1.0. children_ array-like of shape (n_nodes-1, 2) The...scikit-learn.org/stable/modules/generated/sklearn.cluster.FeatureAgglomeration.html -
KNeighborsRegressor — scikit-learn 1.7.dev0 doc...
() array([[1., 0., 1.], [0., 1., 1.], [1., 0., 1.]]) predict...bors=1) >>> print ( neigh . kneighbors ([[ 1. , 1. , 1. ]]))...scikit-learn.org/dev/modules/generated/sklearn.neighbors.KNeighborsRegressor.html -
KNeighborsClassifier — scikit-learn 1.7.dev0 do...
() array([[1., 0., 1.], [0., 1., 1.], [1., 0., 1.]]) predict...bors=1) >>> print ( neigh . kneighbors ([[ 1. , 1. , 1. ]]))...scikit-learn.org/dev/modules/generated/sklearn.neighbors.KNeighborsClassifier.html