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3.1. Cross-validation: evaluating estimator per...
2 , 2 , 2 , 2 ] >>> groups = [ 1 , 1 , 2 , 2 , 3...)) [2 3] [0 1] [1 3] [0 2] [1 2] [0 3] [0 3] [1 2] [0 2] [1 3]...scikit-learn.org/stable/modules/cross_validation.html -
Prediction Intervals for Gradient Boosting Regr...
exp ( sigma ** 2 / 2 ) y = expected_y + noise Split...learning_rate = [ 0.05 , 0.1 , 0.2 ], max_depth = [ 2 , 5 , 10 ], min_samples_leaf...scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_quantile.html -
Probability Calibration for 3-class classificat...
"($\frac {1}{2} $, $0$, $\frac {1}{2} $)" , xy = (..."($0$, $\frac {1}{2} $, $\frac {1}{2} $)" , xy = ( 0.0...scikit-learn.org/stable/auto_examples/calibration/plot_calibration_multiclass.html -
fetch_lfw_pairs — scikit-learn 1.8.0 docu...
2, 62, 47). Shape depends on subset Each row has 2 face...Download it if necessary. Classes 2 Samples total 13233 Dimensionality...scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_lfw_pairs.html -
RepeatedKFold — scikit-learn 1.8.0 docume...
2 ], [ 3 , 4 ], [ 1 , 2 ], [ 3 , 4 ]]) >>>...RepeatedKFold ( n_splits = 2 , n_repeats = 2 , random_state = 2652124...scikit-learn.org/stable/modules/generated/sklearn.model_selection.RepeatedKFold.html -
confusion_matrix — scikit-learn 1.8.0 doc...
>>> y_true = [ 2 , 0 , 2 , 2 , 0 , 1 ] >>> y_pred...y_pred = [ 0 , 0 , 2 , 2 , 0 , 2 ] >>> confusion_matrix...scikit-learn.org/stable/modules/generated/sklearn.metrics.confusion_matrix.html -
power_transform — scikit-learn 1.8.0 docu...
2 ], [ 3 , 2 ], [ 4 , 5 ]] >>>...and negative values ‘box-cox’ [2] , only works with strictly positive...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.power_transform.html -
AND 检索
如果想搜索包含”搜索词1”和”搜索词2”的文档,在搜索表单中输入如下内容: 搜索词1 AND 搜索词2 也可以用 AND 连接多个词。...fess.codelibs.org/zh-cn/15.3/user/search-and.html -
LeavePOut — scikit-learn 1.8.0 documentation
3] Test: index=[0 2] Fold 2: Train: index=[1 2] Test: index=[0...([ 1 , 2 , 3 , 4 ]) >>> lpo = LeavePOut ( 2 ) >>>...scikit-learn.org/stable/modules/generated/sklearn.model_selection.LeavePOut.html -
LeavePGroupsOut — scikit-learn 1.8.0 docu...
group=[2] Test: index=[0 2], group=[1 3] Fold 2: Train: index=[0],...([ 1 , 2 , 1 ]) >>> groups = np . array ([ 1 , 2 , 3 ])...scikit-learn.org/stable/modules/generated/sklearn.model_selection.LeavePGroupsOut.html