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make_circles — scikit-learn 1.7.1 documentation
n_samples int or tuple of shape (2,), dtype=int, default=100 If int,...ndarray of shape (n_samples, 2) The generated samples. y ndarray...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_circles.html -
GitHub - codelibs/fess-testdata: Test Data Repo...
class="ClipboardButton btn js-clipboard-copy m-2 p-0" data-copy-feedback="Copied!"...octicon-copy js-clipboard-copy-icon m-2"> <path d="M0 6.75C0 5.784.784...github.com/codelibs/fess-testdata -
plot_hgbt_regression.ipynb
showcasing all points except 2 and 6 in a real life\nsetting.\n"...label=\"recorded average\", linewidth=2, ax=ax)\n\nfor idx, max_iter in...scikit-learn.org/stable/_downloads/cb9a8a373677fb481fe43a11d8fa0e94/plot_hgbt_regression.ipynb -
MLPRegressor — scikit-learn 1.7.1 documentation
float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...validation_fraction = 0.1 , beta_1 = 0.9 , beta_2 = 0.999 , epsilon = 1e-08 , n_iter_no_change...scikit-learn.org/stable/modules/generated/sklearn.neural_network.MLPRegressor.html -
recall_score — scikit-learn 1.7.1 documentation
2 , 0 , 1 , 2 ] >>> y_pred = [ 0 , 2 , 1 , 0 , 0...scikit-learn.org/stable/modules/generated/sklearn.metrics.recall_score.html -
average_precision_score — scikit-learn 1.7.1 do...
2 , 2 ]) >>> y_scores = np . array ([ ... [ 0.7 , 0.2 , 0.1...], ... [ 0.2 , 0.3 , 0.5 ], ... [ 0.4 , 0.4 , 0.2 ], ... [ 0.1...scikit-learn.org/stable/modules/generated/sklearn.metrics.average_precision_score.html -
SpectralCoclustering — scikit-learn 1.7.1 docum...
[ 2 , 1 ], [ 1 , 0 ], ... [ 4 , 7...SpectralCoclustering ( n_clusters = 2 , random_state = 0 ) . fit ( X...scikit-learn.org/stable/modules/generated/sklearn.cluster.SpectralCoclustering.html -
BuzzFeed - バズフィードジャパン
俳優の鈴木福さんが8月2日にXを更新。プロフィギュアスケーターの宇野昌磨さんとの2ショットを公開し、SNSでは「夢の2ショット」「二人とも王子さま！」と話題です。...ましたね」と反響 俳優の水嶋ヒロさんが8月2日にInstagramを更新。2人の娘さんとの3ショットを披露しました。ファ...www.buzzfeed.com/jp -
GaussianNB — scikit-learn 1.7.1 documentation
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.naive_bayes.GaussianNB.html -
HDBSCAN — scikit-learn 1.7.1 documentation
inf) are given the label -2. Samples with missing data are...clusters. That is to say, the -1, -2, -3 labels for the outlier clusters...scikit-learn.org/stable/modules/generated/sklearn.cluster.HDBSCAN.html