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SGDRegressor — scikit-learn 1.7.2 documentation
l1_ratio <= 1. l1_ratio=0 corresponds to L2 penalty, l1_ratio=1 to L1....True , verbose = 0 , epsilon = 0.1 , random_state = None , learning_rate...scikit-learn.org/stable/modules/generated/sklearn.linear_model.SGDRegressor.html -
SpectralCoclustering — scikit-learn 1.7.2 docum...
array ([[ 1 , 1 ], [ 2 , 1 ], [ 1 , 0 ], ... [ 4 , 7...clustering . row_labels_ array([0, 1, 1, 0, 0, 0], dtype=int32) >>>...scikit-learn.org/stable/modules/generated/sklearn.cluster.SpectralCoclustering.html -
BaggingRegressor — scikit-learn 1.7.2 documenta...
max_samples = 1.0 , max_features = 1.0 , bootstrap = True...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.ensemble.BaggingRegressor.html -
ARDRegression — scikit-learn 1.7.2 documentation
[ 1 , 1 ], [ 2 , 2 ]], [ 0 , 1 , 2 ]) ARDRegression()...>>> clf . predict ([[ 1 , 1 ]]) array([1.]) Comparing Linear Bayesian...scikit-learn.org/stable/modules/generated/sklearn.linear_model.ARDRegression.html -
ConstantKernel — scikit-learn 1.7.2 documentation
\[k(x_1, x_2) = constant\_value \;\forall\; x_1, x_2\] Adding...predict ( X [: 1 ,:], return_std = True ) (array([606.1]), array([0.248]))...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.ConstantKernel.html -
LocallyLinearEmbedding — scikit-learn 1.7.2 doc...
n_neighbors > n_components * (1 + (n_components + 1) / 2 . see reference...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.manifold.LocallyLinearEmbedding.html -
DecisionBoundaryDisplay — scikit-learn 1.7.2 do...
Added in version 1.1. Parameters : xx0 ndarray of...iris . data [:, 1 ] . min (), iris . data [:, 1 ] . max ()) ......scikit-learn.org/stable/modules/generated/sklearn.inspection.DecisionBoundaryDisplay.html -
plot_tree — scikit-learn 1.7.2 documentation
“x[1]”, …). class_names array-like...scikit-learn.org/stable/modules/generated/sklearn.tree.plot_tree.html -
roc_auc_score — scikit-learn 1.7.2 documentation
classes_[1] and thus estimator.predict_proba(X, y)[:, 1] . The...it is upper bounded by 1. References [ 1 ] Wikipedia entry for...scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_auc_score.html -
2023年7月1日版との比較
Microsoft 365 株式会社NTTドコモ 2023年7月1日版との比較 Microsoft® Excel® for Microsoft...www.docomo.ne.jp/binary/pdf/utility/privacy/privacy_policy_20230701_hikaku.pdf