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spectral_clustering — scikit-learn 1.7.2 docume...
array ([[ 1 , 1 ], [ 2 , 1 ], [ 1 , 0 ], ... [ 4 , 7 ], [ 3 , 5 ],...array([1, 1, 1, 0, 0, 0]) Gallery examples # Segmenting the picture...scikit-learn.org/stable/modules/generated/sklearn.cluster.spectral_clustering.html -
Hyperparameter — scikit-learn 1.7.2 documentation
... constant_value_bounds = ( 0.0 , 10.0 )) We can access each...bounds=array([[ 0., 10.]]), n_elements=1, fixed=False) >>> params =...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.Hyperparameter.html -
BaggingRegressor — scikit-learn 1.7.2 documenta...
n_estimators = 10 , * , max_samples = 1.0 , max_features = 1.0 , bootstrap...SVR (), ... n_estimators = 10 , random_state = 0 ) . fit ( X ,...scikit-learn.org/stable/modules/generated/sklearn.ensemble.BaggingRegressor.html -
SelectPercentile — scikit-learn 1.7.2 documenta...
generated: ["x0", "x1", ..., "x(n_features_in_ - 1)"] . If input_features...) . fit_transform ( X , y ) >>> X_new . shape (1797, 7) fit (...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectPercentile.html -
ComplementNB — scikit-learn 1.7.2 documentation
size = ( 6 , 100 )) >>> y = np . array ([ 1 , 2 , 3 , 4 , 5 , 6 ])...models. References Rennie, J. D., Shih, L., Teevan, J., & Karger,...scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.ComplementNB.html -
OneHotEncoder — scikit-learn 1.7.2 documentation
handle_unknown {‘error’, ‘ignore’, ‘infrequent_if_exist’, ‘warn’}, default=’error’...feature + "_" + str(category) .E.g. feature X with values 1, 6, 7...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.OneHotEncoder.html -
TunedThresholdClassifierCV — scikit-learn 1.7.2...
= [ 0.9 , 0.1 ], class_sep = 0.8 , random_state = 42 ... ) >>>...object (e.g., function) with signature scorer(estimator, X, y) ....scikit-learn.org/stable/modules/generated/sklearn.model_selection.TunedThresholdClassifierCV.html -
SparseRandomProjection — scikit-learn 1.7.2 doc...
n_components = 'auto' , * , density = 'auto' , eps = 0.1 , dense_output...probability 1 - 1 / s +sqrt(s) / sqrt(n_components) with probability...scikit-learn.org/stable/modules/generated/sklearn.random_projection.SparseRandomProjection.html -
kneighbors_graph — scikit-learn 1.7.2 documenta...
True ) >>> A . toarray () array([[1., 0., 1.], [0., 1., 1.], [1.,...[1., 0., 1.]]) Gallery examples # Agglomerative clustering with...scikit-learn.org/stable/modules/generated/sklearn.neighbors.kneighbors_graph.html -
fetch_20newsgroups_vectorized — scikit-learn 1....
Guide . Parameters : subset {‘train’, ‘test’, ‘all’}, default=’train’...(‘headers’, ‘footers’, ‘quotes’). Each of these are kinds of text...scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_20newsgroups_vectorized.html