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Two-class AdaBoost — scikit-learn 1.7.1 documen...
random_state = 1 ) X2 , y2 = make_gaussian_quantiles...es ( mean = ( 3 , 3 ), cov = 1.5 , n_samples = 300 , n_features...scikit-learn.org/stable/auto_examples/ensemble/plot_adaboost_twoclass.html -
PrecisionRecallDisplay — scikit-learn 1.7.1 doc...
Added in version 1.3. Attributes : line_ matplotlib...not plotted. Added in version 1.3. ax_ matplotlib Axes Axes with...scikit-learn.org/stable/modules/generated/sklearn.metrics.PrecisionRecallDisplay.html -
RobustScaler — scikit-learn 1.7.1 documentation
[[ 1. , - 2. , 2. ], ... [ - 2. , 1. , 3. ], ... [ 4. , 1. ,..., -2. , 0. ], [-1. , 0. , 0.4], [ 1. , 0. , -1.6]]) fit ( X ,...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.RobustScaler.html -
QuantileRegressor — scikit-learn 1.7.1 document...
alpha = 1.0 , fit_intercept = True , solver...User Guide . Added in version 1.0. Parameters : quantile float,...scikit-learn.org/stable/modules/generated/sklearn.linear_model.QuantileRegressor.html -
ParameterGrid — scikit-learn 1.7.1 documentation
[{ 'a' : 1 , 'b' : True }, { 'a' : 1 , 'b' : False },...( grid )[ 1 ] == { 'kernel' : 'rbf' , 'gamma' : 1 } True On this...scikit-learn.org/stable/modules/generated/sklearn.model_selection.ParameterGrid.html -
CategoricalNB — scikit-learn 1.7.1 documentation
Added in version 1.2. Changed in version 1.4: The default value... CategoricalNB ( * , alpha = 1.0 , force_alpha = True , fit_prior...scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.CategoricalNB.html -
MinMaxScaler — scikit-learn 1.7.1 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 -
RationalQuadratic — scikit-learn 1.7.1 document...
RationalQuadratic ( length_scale = 1.0 , alpha = 1.0 , length_scale_bounds...RationalQuadratic ( length_scale = 1.0 , alpha = 1.5 ) >>> gpc = GaussianProcessClass...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.RationalQuadratic.html -
KFold — scikit-learn 1.7.1 documentation
3] Test: index=[0 1] Fold 1: Train: index=[0 1] Test: index=[2...X = np . array ([[ 1 , 2 ], [ 3 , 4 ], [ 1 , 2 ], [ 3 , 4 ]])...scikit-learn.org/stable/modules/generated/sklearn.model_selection.KFold.html -
Normalizer — scikit-learn 1.7.1 documentation
1 , 2 , 2 ], ... [ 1 , 3 , 9 , 3 ], ... [...0.4, 0.4], [0.1, 0.3, 0.9, 0.3], [0.5, 0.7, 0.5, 0.1]]) fit ( X...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.Normalizer.html