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Early stopping in Gradient Boosting — scikit-le...
params = dict ( n_estimators = 1000 , max_depth = 5 , learning_rate...learning_rate = 0.1 , random_state = 42 ) gbm_full = GradientBoostingRegr...scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_early_stopping.html -
HistGradientBoostingClassifier — scikit-learn 1...
n_iter_no_change = 10 , tol = 1e-07 , verbose = 0 , random_state = None ,...loss = 'log_loss' , * , learning_rate = 0.1 , max_iter = 100 ,...scikit-learn.org/stable/modules/generated/sklearn.ensemble.HistGradientBoostingClassifier.html -
Orthogonal Matching Pursuit — scikit-learn 1.7....
data # y = Xw # |x|_0 = n_nonzero_coefs y , X , w = make_sparse_coded_signal...n_samples = 1 , n_components = n_components , n_features = n_features...scikit-learn.org/stable/auto_examples/linear_model/plot_omp.html -
make_blobs — scikit-learn 1.7.1 documentation
( n_samples = 100 , n_features = 2 , * , centers = None , cluster_std...cluster_std = 1.0 , center_box = (-10.0, 10.0) , shuffle = True ,...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_blobs.html -
cross_validate — scikit-learn 1.7.1 documentation
y = None , * , groups = None , scoring = None , cv = None...n_jobs = None , verbose = 0 , params = None , pre_dispatch = '2*n_jobs'...scikit-learn.org/stable/modules/generated/sklearn.model_selection.cross_validate.html -
GaussianProcessRegressor — scikit-learn 1.7.1 d...
( kernel = None , * , alpha = 1e-10 , optimizer = 'fmin_l_bfgs_b'...n_restarts_optimizer = 0 , normalize_y = False , copy_X_train = True , n_targets...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.GaussianProcessRegressor.html -
cluster_optics_xi — scikit-learn 1.7.1 document...
min_cluster_size = None , xi = 0.05 , predecessor_correction = True ) [source]...max_eps = np . inf , ... metric = "minkowski" , ... p = 2 , ......scikit-learn.org/stable/modules/generated/sklearn.cluster.cluster_optics_xi.html -
ExpSineSquared — scikit-learn 1.7.1 documentation
length_scale = 1.0 , periodicity = 1.0 , length_scale_bounds = (1e-05,...>>> X , y = make_friedman2 ( n_samples = 50 , noise = 0 , random_state...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.ExpSineSquared.html -
PowerTransformer — scikit-learn 1.7.1 documenta...
given by: if X >= 0 and lambda_ == 0 : X_original = exp ( X ) - 1...method = 'yeo-johnson' , * , standardize = True , copy = True )...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.PowerTransformer.html -
SequentialFeatureSelector — scikit-learn 1.7.1 ...
n_features_to_select = 'auto' , tol = None , direction = 'forward' , scoring...scoring = None , cv = 5 , n_jobs = None ) [source] # Transformer...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SequentialFeatureSelector.html