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make_gaussian_quantiles — scikit-learn 1.7.2 do...
dataset is from Zhu et al [1]. References [ 1 ] Zhu, H. Zou, S. Rosset,...es ( * , mean = None , cov = 1.0 , n_samples = 100 , n_features...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_gaussian_quantiles.html -
root_mean_squared_error — scikit-learn 1.7.2 do...
1 ],[ - 1 , 1 ],[ 7 , - 6 ]] >>> y_pred...User Guide . Added in version 1.4. Parameters : y_true array-like...scikit-learn.org/stable/modules/generated/sklearn.metrics.root_mean_squared_error.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 -
make_swiss_roll — scikit-learn 1.7.2 documentation
algorithm is from Marsland [1]. References [ 1 ] S. Marsland, “Machine...from Stephen Marsland’s code [1]. Parameters : n_samples int,...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_swiss_roll.html -
d2_absolute_error_score — scikit-learn 1.7.2 do...
1 ], [ - 1 , 1 ], [ 7 , - 6 ]] >>> y_pred...User Guide . Added in version 1.1. Parameters : y_true array-like...scikit-learn.org/stable/modules/generated/sklearn.metrics.d2_absolute_error_score.html -
adjusted_mutual_info_score — scikit-learn 1.7.2...
1 , 1 ], [ 0 , 0 , 1 , 1 ]) 1.0 >>> adjusted_mutual_info_score...ore ([ 0 , 0 , 1 , 1 ], [ 1 , 1 , 0 , 0 ]) 1.0 If classes members...scikit-learn.org/stable/modules/generated/sklearn.metrics.adjusted_mutual_info_score.html -
LabelEncoder — scikit-learn 1.7.2 documentation
classes_ array([1, 2, 6]) >>> le . transform ([ 1 , 1 , 2 , 6 ]) array([0,...array([0, 0, 1, 2]...) >>> le . inverse_transform ([ 0 , 0 , 1 , 2 ])...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.LabelEncoder.html -
BallTree — scikit-learn 1.7.2 documentation
query ( X [: 1 ], k = 3 ) >>> print ( ind ) #...indices of 3 closest neighbors [0 3 1] >>> print ( dist ) # distances...scikit-learn.org/stable/modules/generated/sklearn.neighbors.BallTree.html -
PassiveAggressiveRegressor — scikit-learn 1.7.2...
default=1.0 Maximum step size (regularization). Defaults to 1.0. fit_intercept...PassiveAggressiveReg ( * , C = 1.0 , fit_intercept = True , max_iter...scikit-learn.org/stable/modules/generated/sklearn.linear_model.PassiveAggressiveRegressor.html -
Marvel Reference for 2.x and 1.x | Elastic
x and 1.x: 2.1 Marvel Reference for 2.x and 1.x: 2.0 Marvel...Reference for 2.x and 1.x Marvel Reference for 2.x and 1.x: 2.4 Marvel...www.elastic.co/guide/en/marvel/index.html