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Lasso — scikit-learn 1.5.0 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 -
ColumnTransformer — scikit-learn 1.5.0 document...
1. , 2. , 2. ], ... [ 1. , 1. , 0. , 1. ]]) >>> #...scikit-learn 1.1 Release Highlights for scikit-learn 1.1 Release Highlights...scikit-learn.org/stable/modules/generated/sklearn.compose.ColumnTransformer.html -
StandardScaler — scikit-learn 1.5.0 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 -
MiniBatchDictionaryLearning — scikit-learn 1.5....
* || U || _1 , 1 ( U , V ) with || V_k || _2 <= 1 for all 0 <=...Added in version 1.1. Deprecated since version 1.4: max_iter=None...scikit-learn.org/stable/modules/generated/sklearn.decomposition.MiniBatchDictionaryLearning.html -
SplineTransformer — scikit-learn 1.5.0 document...
n_splines=n_knots + degree - 1 ( n_knots - 1 for extrapolation="periodic"...available with scipy>=1.8 . Added in version 1.2. Attributes : bsplines_...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.SplineTransformer.html -
LabelSpreading — scikit-learn 1.5.0 documentation
means 1 unless in a joblib.parallel_backend context. -1 means...Clamping factor. A value in (0, 1) that specifies the relative amount...scikit-learn.org/stable/modules/generated/sklearn.semi_supervised.LabelSpreading.html -
GroupKFold — scikit-learn 1.5.0 documentation
index=[0 1 4 5], group=[0 0 3 3] Fold 1: Train: index=[0 1 4 5],...scikit-learn 1.4 Release Highlights for scikit-learn 1.4 Visualizing...scikit-learn.org/stable/modules/generated/sklearn.model_selection.GroupKFold.html -
HistGradientBoostingClassifier — scikit-learn 1...
that categorical values of 1.0 and 1 are treated as the same category....integer values: 1: monotonic increase 0: no constraint -1: monotonic...scikit-learn.org/stable/modules/generated/sklearn.ensemble.HistGradientBoostingClassifier.html -
KernelPCA — scikit-learn 1.5.0 documentation
coef0 = 1 , kernel_params = None , alpha = 1.0 , fit_inverse_transform...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.decomposition.KernelPCA.html -
PassiveAggressiveClassifier — scikit-learn 1.5....
default=1.0 Maximum step size (regularization). Defaults to 1.0. fit_intercept...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.linear_model.PassiveAggressiveClassifier.html