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IsotonicRegression — scikit-learn 1.7.0 documen...
1 , .2 ]) array([1.8628, 3.7256]) fit (...n_samples = 10 , n_features = 1 , random_state = 41 ) >>> iso_reg...scikit-learn.org/stable/modules/generated/sklearn.isotonic.IsotonicRegression.html -
PLSRegression — scikit-learn 1.7.0 documentation
1 , - 0.2 ], [ 0.9 , 1.1 ], [ 6.2 , 5.9 ],...intercept_ . Added in version 1.1. n_iter_ list of shape (n_components,)...scikit-learn.org/stable/modules/generated/sklearn.cross_decomposition.PLSRegression.html -
MinMaxScaler — scikit-learn 1.7.0 documentation
data = [[ - 1 , 2 ], [ - 0.5 , 6 ], [ 0 , 10 ], [ 1 , 18 ]] >>>...0. ] [0.25 0.25] [0.5 0.5 ] [1. 1. ]] >>> print ( scaler . transform...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.MinMaxScaler.html -
HDBSCAN — scikit-learn 1.7.0 documentation
means 1 unless in a joblib.parallel_backend context. -1 means.... labels_ ) . tolist () [-1, 0, 1, 2, 3, 4, 5, 6, 7] dbscan_clustering...scikit-learn.org/stable/modules/generated/sklearn.cluster.HDBSCAN.html -
sklearn.svm — scikit-learn 1.6.1 documentation
Support vector machine algorithms. User guide. See the Support Vector Machines section for further details.scikit-learn.org/stable/api/sklearn.svm.html -
homogeneity_score — scikit-learn 1.7.0 document...
1 , 1 ], [ 1 , 1 , 0 , 0 ]) 1.0 Non-perfect labelings...homogeneity_score ([ 0 , 0 , 1 , 1 ], [ 0 , 0 , 1 , 2 ])) 1.000000 >>> print...scikit-learn.org/stable/modules/generated/sklearn.metrics.homogeneity_score.html -
Release Highlights for scikit-learn 1.5 — sciki...
array([[-1.1, 1.1, 1.1], [ 3.9, -1.2, 1.1], [ 0.1, 1.3, 1.1], [-0.1,...[-0.1, -1.4, -1.4], [-4.9, 1.5, -1.5], [ 0.1, 1.6, 1.6]]) Pairwise...scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_5_0.html -
Matern — scikit-learn 1.7.0 documentation
kernel = 1.0 * Matern ( length_scale = 1.0 , nu = 1.5 ) >>> gpc...length_scale = 1.0 , length_scale_bounds = (1e-05, 100000.0) , nu = 1.5 )...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.Matern.html -
hinge_loss — scikit-learn 1.7.0 documentation
[ 1 ]] >>> y = [ - 1 , 1 ] >>> est = svm . LinearSVC...0.09]) >>> hinge_loss ([ - 1 , 1 , 1 ], pred_decision ) 0.30 In...scikit-learn.org/stable/modules/generated/sklearn.metrics.hinge_loss.html -
洋楽ランキング一覧1件中 1件から1件 - gooランキング
洋楽 ランキング一覧 1件中 1件から1件 RSSを購読する Queenに続け！映画化（伝記）してほしい洋楽アーティストランキング...」を抑えて1位に選ばれたのは… 1 一番イケてる東京の地下鉄ランキング！3位「半蔵門線」、2位「銀座線」、1位は… 2 ...ranking.goo.ne.jp/topic/25/