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graphical_lasso — scikit-learn 1.7.1 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 -
Lasso — scikit-learn 1.7.1 documentation
copy_X = True , max_iter = 1000 , tol = 0.0001 , warm_start = False...l1_ratio = 0.5 , eps = 0.001 , n_alphas = 100 , alphas = None ,...scikit-learn.org/stable/modules/generated/sklearn.linear_model.Lasso.html -
Comparison of Calibration of Classifiers — scik...
range = ( 0 , 1 ), bins = 10 , label = name , color = colors...n_features = 20 , n_informative = 2 , n_redundant = 2 , random_state...scikit-learn.org/stable/auto_examples/calibration/plot_compare_calibration.html -
Logistic function — scikit-learn 1.7.1 document...
xmax = - 5 , 5 n_samples = 100 np . random . seed ( 0 ) X = np...X > 0 ] *= 4 X += 0.3 * np . random . normal ( size = n_samples...scikit-learn.org/stable/auto_examples/linear_model/plot_logistic.html -
Online learning of a dictionary of parts of fac...
n_clusters = 81 , random_state = rng , verbose = True , n_init = 3 )...data ) index += 1 if index % 10 == 0 : data = np . concatenate...scikit-learn.org/stable/auto_examples/cluster/plot_dict_face_patches.html -
Segmenting the picture of greek coins in region...
assign_labels = assign_labels , random_state = 42 , ) t1 = time . time...plt . contour ( labels == l , colors = colors ) # To view individual...scikit-learn.org/stable/auto_examples/cluster/plot_coin_segmentation.html -
Non-negative least squares — scikit-learn 1.7.1...
reg_nnls = LinearRegression ( positive = True ) y_pred_nnls = reg_nnls..., linewidth = 0 , marker = "." ) low_x , high_x = ax . get_xlim...scikit-learn.org/stable/auto_examples/linear_model/plot_nnls.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 -
GroupKFold — scikit-learn 1.7.1 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 1.7.1 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