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VotingClassifier — scikit-learn 1.7.0 documenta...
([[ - 1 , - 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2...2 , 1 ], [ 3 , 2 ]]) >>> y = np . array ([ 1 , 1 , 1 , 2 , 2...scikit-learn.org/stable/modules/generated/sklearn.ensemble.VotingClassifier.html -
MiniBatchDictionaryLearning — scikit-learn 1.7....
* || U || _1 , 1 ( U , V ) with || V_k || _2 <= 1 for all 0 <=...the Frobenius norm and ||.||_1,1 stands for the entry-wise matrix...scikit-learn.org/stable/modules/generated/sklearn.decomposition.MiniBatchDictionaryLearning.html -
OrdinalEncoder — scikit-learn 1.7.0 documentation
inverse_transform ([[ 1 , 0 ], [ 0 , 1 ]]) array([['Male', 1], ['Female',... =- 1 ) . fit_transform ( X ) array([[ 1., 0.], [ 0., 1.], [...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.OrdinalEncoder.html -
SparseCoder — scikit-learn 1.7.0 documentation
1 , 0 ], ... [ - 1 , - 1 , 2 ], ... [ 1 , 1 , 1 ], ......>>> X = np . array ([[ - 1 , - 1 , - 1 ], [ 0 , 0 , 3 ]]) >>> dictionary...scikit-learn.org/stable/modules/generated/sklearn.decomposition.SparseCoder.html -
StandardScaler — scikit-learn 1.7.0 documentation
( data )) [[-1. -1.] [-1. -1.] [ 1. 1.] [ 1. 1.]] >>> print (...0 , 0 ], [ 0 , 0 ], [ 1 , 1 ], [ 1 , 1 ]] >>> scaler = StandardScaler...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.StandardScaler.html -
HistGradientBoostingClassifier — scikit-learn 1...
that categorical values of 1.0 and 1 are treated as the same category....version 1.4: Added "from_dtype" option. Changed in version 1.6: The...scikit-learn.org/stable/modules/generated/sklearn.ensemble.HistGradientBoostingClassifier.html -
ElasticNetCV — scikit-learn 1.7.0 documentation
l1_ratio = 1 it is an L1 penalty. For 0 < l1_ratio < 1 , the penalty...(i.e. Ridge), as in [.1, .5, .7, .9, .95, .99, 1] . eps float, default=1e-3...scikit-learn.org/stable/modules/generated/sklearn.linear_model.ElasticNetCV.html -
Lasso — scikit-learn 1.7.0 documentation
1 ) >>> clf . fit ([[ 0 , 0 ], [ 1 , 1 ], [ 2 , 2...* || W || _11 where \(||W||_{1,1}\) is the sum of the magnitude...scikit-learn.org/stable/modules/generated/sklearn.linear_model.Lasso.html -
LabelEncoder — scikit-learn 1.7.0 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 -
NMF — scikit-learn 1.7.0 documentation
array ([[ 1 , 1 ], [ 2 , 1 ], [ 3 , 1.2 ], [ 4 , 1 ], [ 5 , 0.8...n\_samples * ||vec(H)||_1\\ &+ 0.5 * alpha\_W * (1 - l1\_ratio) * n\_features...scikit-learn.org/stable/modules/generated/sklearn.decomposition.NMF.html