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cluster_optics_dbscan — scikit-learn 1.7.2 docu...
2 ], [ 2 , 5 ], [ 3 , 6 ], ... [ 8... ( ... X , ... min_samples = 2 , ... max_eps = np . inf , ......scikit-learn.org/stable/modules/generated/sklearn.cluster.cluster_optics_dbscan.html -
NuSVR — 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.NuSVR.html -
CountVectorizer — scikit-learn 1.7.2 documentation
2) means unigrams and bigrams, and (2, 2) means only...= 'word' , ngram_range = ( 2 , 2 )) >>> X2 = vectorizer2 . fit_transform...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.CountVectorizer.html -
MultiOutputRegressor — scikit-learn 1.7.2 docum...
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.multioutput.MultiOutputRegressor.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 -
MDS — scikit-learn 1.7.2 documentation
MDS ( n_components = 2 , * , metric = True , n_init =...Parameters : n_components int, default=2 Number of dimensions in which...scikit-learn.org/stable/modules/generated/sklearn.manifold.MDS.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 -
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 -
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 -
ExtraTreesRegressor — scikit-learn 1.7.2 docume...
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.ExtraTreesRegressor.html