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DictVectorizer — scikit-learn 1.5.2 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 -
RandomForestRegressor — scikit-learn 1.5.2 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 -
1.12. Multiclass and multioutput algorithms — s...
2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,...1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,...scikit-learn.org/stable/modules/multiclass.html -
SVR — scikit-learn 1.5.2 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 -
GradientBoostingRegressor — scikit-learn 1.5.2 ...
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 -
OrthogonalMatchingPursuitCV — scikit-learn 1.5....
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 -
average_precision_score — scikit-learn 1.5.2 do...
2 , 2 ]) >>> y_scores = np . array ([ ... [ 0.7 , 0.2 , 0.1...], ... [ 0.2 , 0.3 , 0.5 ], ... [ 0.4 , 0.4 , 0.2 ], ... [ 0.1...scikit-learn.org/stable/modules/generated/sklearn.metrics.average_precision_score.html -
BernoulliRBM — scikit-learn 1.5.2 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 -
GaussianNB — scikit-learn 1.5.2 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 -
LearningCurveDisplay — scikit-learn 1.5.2 docum...
2 Release Highlights for scikit-learn 1.2 Comparison...visualization. Added in version 1.2. Parameters : train_sizes ndarray...scikit-learn.org/stable/modules/generated/sklearn.model_selection.LearningCurveDisplay.html