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【第4回】Fessを使って自然言語処理 【第3回】設定だけでできるWebスクレイピング 【第2回】Google Site Searchからの簡単移行 【第...fess.codelibs.org/ja/articles.html -
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hinge_loss — scikit-learn 1.7.1 documentation
([[ - 2 ], [ 3 ], [ 0.5 ]]) >>> pred_decision array([-2.18, 2.36,...[ 1 ], [ 2 ], [ 3 ]]) >>> Y = np . array ([ 0 , 1 , 2 , 3 ]) >>>...scikit-learn.org/stable/modules/generated/sklearn.metrics.hinge_loss.html -
StratifiedGroupKFold — scikit-learn 1.7.1 docum...
index=[ 0 1 2 3 15 16] group=[1 1 2 2 8 8] Fold 2: Train: index=[...index=[ 0 1 2 3 7 8 9 10 11 15 16] group=[1 1 2 2 4 5 5 5 5 8...scikit-learn.org/stable/modules/generated/sklearn.model_selection.StratifiedGroupKFold.html -
shuffle — scikit-learn 1.7.1 documentation
2)> >>> X_sparse . toarray () array([[0., 0.], [2., 1.],...y array([2, 1, 0]) >>> shuffle ( y , n_samples = 2 , random_state...scikit-learn.org/stable/modules/generated/sklearn.utils.shuffle.html -
1.12. Multiclass and multioutput algorithms — s...
2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,...1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,...scikit-learn.org/stable/modules/multiclass.html -
feature_extraction.rst.txt
2.0986]}{\sqrt{\big(3^2 + 0^2 + 2.0986^2\big)}} = [...\frac{v}{||v||_2} = \frac{v}{\sqrt{v{_1}^2 + v{_2}^2 + \dots + v{_n}^2}}`....scikit-learn.org/stable/_sources/modules/feature_extraction.rst.txt -
kNN search | Elastic Docs
-2], "title": "moose family" } { "index": { "_id": "2" } }...- 1) cosine : (2 * _score) - 1 dot_product : (2 * _score) - 1...www.elastic.co/docs/solutions/search/vector/knn -
8.3. Generated datasets — scikit-learn 1.7.1 do...
"n_clusters_per_class" : 2 , "n_classes" : 2 }, { "n_informative" : 2 , "n_clusters_per_class"...1 , "n_classes" : 2 }, { "n_informative" : 2 , "n_clusters_per_class"...scikit-learn.org/stable/datasets/sample_generators.html