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Changelog | DBFlute
$$schema$$ #219 *2024/10/12パッチ DBFlute Engine: additi...additionalDbCommentM.dfprop #218 *2024/10/11パッチ DBFlute Engine: LoadDataReverse,...dbflute.seasar.org/ja/environment/changelog/index.html -
Post-tuning the decision threshold for cost-sen...
other_parties 1000 non-null category 10 residence_since 1000 non-null...validation_fraction 0.1 n_iter_no_change 10 tol 1e-07 verbose 0 random_state...scikit-learn.org/stable/auto_examples/model_selection/plot_cost_sensitive_learning.html -
Scalable learning with polynomial kernel approx...
000 samples for training and 10,000 for testing. To actually...train_size = 5_000 , test_size = 10_000 , random_state = 42 ) Feature...scikit-learn.org/stable/auto_examples/kernel_approximation/plot_scalable_poly_kernels.html -
Elastic Security | Elastic
10 Elastic Security: 8.9 Elastic...Security: 7.11 Elastic Security: 7.10 Elastic Security: 7.9 Elastic...www.elastic.co/guide/en/security/index.html -
fetch_lfw_pairs — scikit-learn 1.7.2 documentation
‘10_folds’}, default=’train’ Select...the development test set, and ‘10_folds’ for the official evaluation...scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_lfw_pairs.html -
Fleet and Elastic Agent Guide | Elastic
10 Fleet and Elastic Agent Guide:...Fleet and Elastic Agent Guide: 7.10 Fleet and Elastic Agent Guide:...www.elastic.co/guide/en/fleet/index.html -
Release Highlights for scikit-learn 1.1 — sciki...
n_components = 10 , 10 , 5 true_W = rng . uniform...) X_1d = np . linspace ( 0 , 10 , num = 2000 ) X = X_1d . reshape...scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_1_0.html -
「1908〆_※急募※【お仕事紹介】【N】カタログ情報更新業務」の仕事依頼【ジョブハブ】
信用情報による制限 指定スキル なし データ入力 報酬 10 円 10 円 × 1 件 残り時間 違反報告 利用規約 等に違...14名程度 ※少数規模のため、先着順とさせていただきます ■報酬額 10円/Excel 1行(税別) ■業務時間帯 24時間可能 ■納品物...jobhub.jp/jobs/40009 -
1.6. Nearest Neighbors — scikit-learn 1.7.2 doc...
data sample belongs to one of 10 classes. Examples Comparing Nearest...scikit-learn.org/stable/modules/neighbors.html -
ndcg_score — scikit-learn 1.7.2 documentation
our top predictions: (10 / 10 + 5 / 10) / 2 = .75 >>> ndcg_score...true_relevance = np . asarray ([[ 10 , 0 , 0 , 1 , 5 ]]) >>> # we...scikit-learn.org/stable/modules/generated/sklearn.metrics.ndcg_score.html