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f1_score — scikit-learn 1.7.1 documentation
weights. zero_division {“warn”, 0.0, 1.0, np.nan}, default=”warn”...average {‘micro’, ‘macro’, ‘samples’, ‘weighted’, ‘binary’} or None,...scikit-learn.org/stable/modules/generated/sklearn.metrics.f1_score.html -
MDS — scikit-learn 1.7.1 documentation
of 0 indicates “perfect” fit, 0.025 excellent, 0.05 good, 0.1...'warn' , max_iter = 300 , verbose = 0 , eps = 1e-06 , n_jobs = None...scikit-learn.org/stable/modules/generated/sklearn.manifold.MDS.html -
brier_score_loss — scikit-learn 1.7.1 documenta...
y_prob = np . array ([ 0.1 , 0.9 , 0.8 , 0.3 ]) >>> brier_score_loss...y_true_categorical = np . array ([ "spam" , "ham" , "ham" , "spam" ]) >>> y_prob...scikit-learn.org/stable/modules/generated/sklearn.metrics.brier_score_loss.html -
confusion_matrix — scikit-learn 1.7.1 documenta...
[ "ant" , "bird" , "cat" ]) array([[2, 0, 0], [0, 0, 1], [1, 0,...0 , 1 , 0 , 1 ], [ 1 , 1 , 1 , 0 ]) . ravel () . tolist () >>>...scikit-learn.org/stable/modules/generated/sklearn.metrics.confusion_matrix.html -
average_precision_score — scikit-learn 1.7.1 do...
0.1 ], ... [ 0.4 , 0.3 , 0.3 ], ... [ 0.1 , 0.8 , 0.1 ], ......[ 0.2 , 0.3 , 0.5 ], ... [ 0.4 , 0.4 , 0.2 ], ... [ 0.1 , 0.2...scikit-learn.org/stable/modules/generated/sklearn.metrics.average_precision_score.html -
NearestNeighbors — scikit-learn 1.7.1 documenta...
neigh . radius_neighbors ( ... [[ 0 , 0 , 1.3 ]], 0.4 , return_distance...queries. algorithm {‘auto’, ‘ball_tree’, ‘kd_tree’, ‘brute’}, default=’auto’...scikit-learn.org/stable/modules/generated/sklearn.neighbors.NearestNeighbors.html -
minmax_scale — scikit-learn 1.7.1 documentation
independently array([[0. , 0.75, 1. ], [0. , 0.5 , 1. ]]) Gallery examples...1.], [1., 0., 0.]]) >>> minmax_scale ( X , axis = 1 ) # scale each...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.minmax_scale.html -
gen_even_slices — scikit-learn 1.7.1 documentation
gen_even_slices ( 10 , 5 )) [slice(0, 2, None), slice(2, 4, None), ..., slice(8,...slice(1, 2, None), ..., slice(9, 10, None)] >>> list ( gen_even_slices...scikit-learn.org/stable/modules/generated/sklearn.utils.gen_even_slices.html -
The Leonard Cohen Files
www.leonardcohenfiles.com/ -
「セーラームーンみたい！」西野カナの“キラキラ”な新ビジュアルが話題「ほんまかわいい」「魔法み...
西野カナさん（時事） 西野さんは「マジカルスターシャインメイクアップ☆！！！！！」「そう叫べば、いい感じの...とつづり、1枚の画像を投稿。 👉️【画像】西野カナの“キラキラ”新ビジュアルを見る→「セーラームーンみたい！」「魔法みたいでキラキラしてる」...www.buzzfeed.com/jp/hotoriyamashita/kananishino-0723