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NMF — scikit-learn 1.6.1 documentation
random_state = None , alpha_W = 0.0 , alpha_H = 'same' , l1_ratio = 0.0...n_components = 'auto' , * , init = None , solver = 'cd' , beta_loss...scikit-learn.org/stable/modules/generated/sklearn.decomposition.NMF.html -
plot_pca_iris.rst.txt
py: ========== Principal Component Analysis...Analysis (PCA) on Iris Dataset ========== This example shows a well...scikit-learn.org/stable/_sources/auto_examples/decomposition/plot_pca_iris.rst.txt -
graphical_lasso — scikit-learn 1.6.1 documentation
mode = 'cd' , tol = 0.0001 , enet_tol = 0.0001 , max_iter = 100...100 , verbose = False , return_costs = False , eps = np.float64...scikit-learn.org/stable/modules/generated/sklearn.covariance.graphical_lasso.html -
GroupKFold — scikit-learn 1.6.1 documentation
index=[2 3], group=[2 2] Test: index=[0 1 4 5], group=[0 0 3...index=[0 1 4 5], group=[0 0 3 3] Test: index=[2 3], group=[2 2]...scikit-learn.org/stable/modules/generated/sklearn.model_selection.GroupKFold.html -
RepeatedStratifiedKFold — scikit-learn 1.6.1 do...
n_splits = 5 , n_repeats = 10 , random_state = None ) [source]...( n_splits = 2 , n_repeats = 2 , ... random_state = 36851234 )...scikit-learn.org/stable/modules/generated/sklearn.model_selection.RepeatedStratifiedKFold.html -
KernelPCA — scikit-learn 1.6.1 documentation
degree = 3 , coef0 = 1 , kernel_params = None , alpha = 1.0 , ...fit_inverse_transform = False , eigen_solver = 'auto' , tol = 0 , max_iter = None...scikit-learn.org/stable/modules/generated/sklearn.decomposition.KernelPCA.html -
StratifiedShuffleSplit — scikit-learn 1.6.1 doc...
n_splits = 10 , * , test_size = None , train_size = None , random_state...( n_splits = 5 , test_size = 0.5 , random_state = 0 ) >>> sss...scikit-learn.org/stable/modules/generated/sklearn.model_selection.StratifiedShuffleSplit.html -
PassiveAggressiveClassifier — scikit-learn 1.6....
C = 1.0 , fit_intercept = True , max_iter = 1000 , tol = 0.001...n_iter_no_change = 5 , shuffle = True , verbose = 0 , loss = 'hinge' ,...scikit-learn.org/stable/modules/generated/sklearn.linear_model.PassiveAggressiveClassifier.html -
LocalOutlierFactor — scikit-learn 1.6.1 documen...
n_neighbors = 20 , * , algorithm = 'auto' , leaf_size = 30 , metric...metric = 'minkowski' , p = 2 , metric_params = None , contamination...scikit-learn.org/stable/modules/generated/sklearn.neighbors.LocalOutlierFactor.html -
Caching nearest neighbors — scikit-learn 1.6.1 ...
y = load_digits ( return_X_y = True ) n_neighbors_list = [ 1...graph_model = KNeighborsTransforme ( n_neighbors = max ( n_neighbors_list...scikit-learn.org/stable/auto_examples/neighbors/plot_caching_nearest_neighbors.html