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chi2 — scikit-learn 1.7.2 documentation
2 , 2 ]) >>> chi2_stats , p_values...[ 5 , 4 , 1 ], ... [ 6 , 6 , 2 ], ... [ 1 , 4 , 0 ], ... [ 0...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.chi2.html -
DictVectorizer — scikit-learn 1.7.2 documentation
'bar' : 2 }, { 'foo' : 3 , 'baz' : 1 }]...fit_transform ( D ) >>> X array([[2., 0., 1.], [0., 1., 3.]]) >>>...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.DictVectorizer.html -
ConstantKernel — scikit-learn 1.7.2 documentation
x_2) = constant\_value \;\forall\; x_1, x_2\] Adding a...constant_value = 2 ) is the same as: kernel = RBF () + 2 Read more in...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.ConstantKernel.html -
DummyRegressor — scikit-learn 1.7.2 documentation
2.0 , 3.0 , 4.0 ]) >>> y = np . array ([ 2.0 , 3.0 ,...determination R^2 of the prediction. The coefficient R^2 is defined...scikit-learn.org/stable/modules/generated/sklearn.dummy.DummyRegressor.html -
RandomForestRegressor — scikit-learn 1.7.2 docu...
float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...= None , min_samples_split = 2 , min_samples_leaf = 1 , min_...scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestRegressor.html -
SVR — scikit-learn 1.7.2 documentation
float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...for Support Vector Machines [ 2 ] Platt, John (1999). “Probabilistic...scikit-learn.org/stable/modules/generated/sklearn.svm.SVR.html -
OrthogonalMatchingPursuitCV — scikit-learn 1.7....
float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...coefficient of determination, \(R^2\) , is defined as \((1 - \frac{u}{v})\)...scikit-learn.org/stable/modules/generated/sklearn.linear_model.OrthogonalMatchingPursuitCV.html -
GradientBoostingRegressor — scikit-learn 1.7.2 ...
float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...'friedman_mse' , min_samples_split = 2 , min_samples_leaf = 1 , min_...scikit-learn.org/stable/modules/generated/sklearn.ensemble.GradientBoostingRegressor.html -
GaussianNB — scikit-learn 1.7.2 documentation
2 ]]) >>> Y = np . array ([ 1 , 1 , 1 , 2 , 2 , 2 ]) >>>...- 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2 , 1 ], [ 3...scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.GaussianNB.html -
BernoulliRBM — scikit-learn 1.7.2 documentation
n_components = 2 ) >>> model . fit ( X ) BernoulliRBM(n_components=2) For...Contrastive Divergence (PCD) [2]. The time complexity of this...scikit-learn.org/stable/modules/generated/sklearn.neural_network.BernoulliRBM.html