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enet_path — scikit-learn 1.7.1 documentation
l1_ratio = 0.5 , eps = 0.001 , n_alphas = 100 , alphas = None ,...precompute = 'auto' , Xy = None , copy_X = True , coef_init = None...scikit-learn.org/stable/modules/generated/sklearn.linear_model.enet_path.html -
LocallyLinearEmbedding — scikit-learn 1.7.1 doc...
n_neighbors = 5 , n_components = 2 , reg = 0.001 , eigen_solver = 'auto'...'auto' , tol = 1e-06 , max_iter = 100 , method = 'standard' , hessian_tol...scikit-learn.org/stable/modules/generated/sklearn.manifold.LocallyLinearEmbedding.html -
Release Highlights for scikit-learn 1.3 — sciki...
random_state = rng ) coef = rng . uniform ( low =- 10 , high = 20 , size...size = n_features ) y = rng . gamma ( shape = 2 , scale = np ....scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_3_0.html -
MiniBatchNMF — scikit-learn 1.7.1 documentation
max_iter = 200 , alpha_W = 0.0 , alpha_H = 'same' , l1_ratio = 0.0...n_components = 'auto' , * , init = None , batch_size = 1024 , beta_loss...scikit-learn.org/stable/modules/generated/sklearn.decomposition.MiniBatchNMF.html -
check_array — scikit-learn 1.7.1 documentation
accept_sparse = False , * , accept_large_sparse = True , dtype = 'numeric'...'numeric' , order = None , copy = False , force_writeable = False , force_all_finite...scikit-learn.org/stable/modules/generated/sklearn.utils.check_array.html -
DecisionBoundaryDisplay — scikit-learn 1.7.1 do...
multiclass_colors = None , xlabel = None , ylabel = None , ax = None , **...plot_method = 'contourf' , ax = None , xlabel = None , ylabel = None...scikit-learn.org/stable/modules/generated/sklearn.inspection.DecisionBoundaryDisplay.html -
StratifiedGroupKFold — scikit-learn 1.7.1 docum...
( n_splits = 5 , shuffle = False , random_state = None ) [source]...StratifiedGroupKFold(n_splits=3, random_state=None, shuffle=False) >>> for i...scikit-learn.org/stable/modules/generated/sklearn.model_selection.StratifiedGroupKFold.html -
HashingVectorizer — scikit-learn 1.7.1 document...
binary=False , norm='l2' , alternate_sign=True , dtype=<class..., input='content' , encoding='utf-8' , decode_error='strict'...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.HashingVectorizer.html -
SGDRegressor — scikit-learn 1.7.1 documentation
tol = 0.001 , shuffle = True , verbose = 0 , epsilon = 0.1 , random_state...( loss = 'squared_error' , * , penalty = 'l2' , alpha = 0.0001...scikit-learn.org/stable/modules/generated/sklearn.linear_model.SGDRegressor.html -
spectral_clustering — scikit-learn 1.7.1 docume...
n_clusters = 8 , n_components = None , eigen_solver = None , random_state...random_state = None , n_init = 10 , eigen_tol = 'auto' , assign_labels...scikit-learn.org/stable/modules/generated/sklearn.cluster.spectral_clustering.html