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LassoLars — scikit-learn 1.8.0 documentation
([[ - 1 , 1 ], [ 0 , 0 ], [ 1 , 1 ]], [ - 1 , 0 , - 1 ]) LassoLars(alpha=0.01)...sklearn.linear_model. LassoLars ( alpha = 1.0 , * , fit_intercept = True ,...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LassoLars.html -
sklearn.cluster — scikit-learn 1.8.0 documentation
2003) [R2af9f5762274-1] . SpectralClustering Apply clustering...(Dhillon, 2001) [R0dd0f3306ba7-1] . affinity_propagation Perform...scikit-learn.org/stable/api/sklearn.cluster.html -
TransformedTargetRegressor — scikit-learn 1.8.0...
reshape ( - 1 , 1 ) >>> y = np . exp ( 2 * X )...all strings. Added in version 1.0. See also sklearn.preproces...scikit-learn.org/stable/modules/generated/sklearn.compose.TransformedTargetRegressor.html -
make_swiss_roll — scikit-learn 1.8.0 documentation
is from Marsland [1] . References [ 1 ] ( 1 , 2 ) S. Marsland,...from Stephen Marsland’s code [1] . Parameters : n_samples int,...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_swiss_roll.html -
HistGradientBoostingRegressor — scikit-learn 1....
scikit-learn 1.1 Release Highlights for scikit-learn 1.1 Release Highlights...version 1.1: Added option ‘quantile’. Changed in version 1.3: Added...scikit-learn.org/stable/modules/generated/sklearn.ensemble.HistGradientBoostingRegressor.html -
max_error — scikit-learn 1.8.0 documentation
1 ] >>> y_pred = [ 4 , 2 , 7 , 1 ] >>> max_error...max_error ( y_true , y_pred ) 1.0 On this page This Page...scikit-learn.org/stable/modules/generated/sklearn.metrics.max_error.html -
MLPRegressor — scikit-learn 1.8.0 documentation
returns f(x) = 1 / (1 + exp(-x)). ‘tanh’, the hyperbolic...random_state = 1 ) >>> regr = MLPRegressor ( random_state = 1 , max_iter...scikit-learn.org/stable/modules/generated/sklearn.neural_network.MLPRegressor.html -
MinMaxScaler — scikit-learn 1.8.0 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 -
HDBSCAN — scikit-learn 1.8.0 documentation
means 1 unless in a joblib.parallel_backend context. -1 means.... labels_ ) . tolist () [-1, 0, 1, 2, 3, 4, 5, 6, 7] dbscan_clustering...scikit-learn.org/stable/modules/generated/sklearn.cluster.HDBSCAN.html -
zero_one_loss — scikit-learn 1.8.0 documentation
1 ], [ 1 , 1 ]]), np . ones (( 2 , 2...zero_one_loss >>> y_pred = [ 1 , 2 , 3 , 4 ] >>> y_true = [ 2...scikit-learn.org/stable/modules/generated/sklearn.metrics.zero_one_loss.html