- Sort Score
- Num 10 results
- Language All
- Labels All
Results 1331 - 1340 of over 10,000 for 2 (0.79 seconds)
Filter
-
Early stopping in Gradient Boosting — scikit-le...
axes [ 2 ] . bar ( labels , training_times ) axes [ 2 ] . set_ylabel...axes [ 2 ] . text ( bar . get_x () + bar . get_width () / 2 , height...scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_early_stopping.html -
SGDClassifier — scikit-learn 1.8.0 documentation
loss/||x||**2) . ‘pa2’: passive-aggressive algorithm 2, see [1]...eta = hinge_loss / (||x||**2 + 1/(2 eta0)) . Added in version...scikit-learn.org/stable/modules/generated/sklearn.linear_model.SGDClassifier.html -
Vector Quantization Example — scikit-learn 1.8....
subplots ( ncols = 2 , figsize = ( 12 , 4 )) ax [ 0...by a factor of approximately 2.5. We will later discuss about...scikit-learn.org/stable/auto_examples/cluster/plot_face_compress.html -
JSON连接器
{ "id" : 2 , "name" : "Item 2" } ] 参数: JSON为包含数组的对象的情况:..."Item 1" }, { "id" : 2 , "name" : "Item 2" } ] } 参数: 大型JSON文件...fess.codelibs.org/zh-cn/15.5/config/datastore/ds-json.html -
ClusterMixin — scikit-learn 1.8.0 documentation
2 ], [ 2 , 3 ], [ 3 , 4 ]] >>> MyClusterer...scikit-learn.org/stable/modules/generated/sklearn.base.ClusterMixin.html -
plot_discretization_strategies.zip
[2, 4], [8, 8]]) centers_1 = np.array([[0,...form(-3, 3, size=(n_samples, 2)), make_blobs( n_samples=[ n_samples...scikit-learn.org/stable/_downloads/7b16734166ab4280e940d7fb89dd6113/plot_discretization_strategie... -
SGDRegressor — scikit-learn 1.8.0 documentation
loss/||x||**2) . ‘pa2’: passive-aggressive algorithm 2, see [1]...eta = hinge_loss / (||x||**2 + 1/(2 eta0)) . Added in version...scikit-learn.org/stable/modules/generated/sklearn.linear_model.SGDRegressor.html -
label_binarize — scikit-learn 1.8.0 documentation
2 , 4 , 6 ]) array([[1, 0, 0, 0],...6 ], classes = [ 1 , 6 , 4 , 2 ]) array([[1, 0, 0, 0], [0, 1,...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.label_binarize.html -
paired_distances — scikit-learn 1.8.0 documenta...
n_features) Array 2 for distance computation. metric..., 1 ]] >>> Y = [[ 0 , 1 ], [ 2 , 1 ]] >>> paired_distances (...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.paired_distances.html -
LinearDiscriminantAnalysis — scikit-learn 1.8.0...
2 ]]) >>> y = np . array ([ 1 , 1 , 1 , 2 , 2 , 2 ]) >>>...- 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2 , 1 ], [ 3...scikit-learn.org/stable/modules/generated/sklearn.discriminant_analysis.LinearDiscriminantAnalysi...