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Lasso on dense and sparse data — scikit-learn 1...
coo_matrix ( X ) alpha = 1 sparse_lasso = Lasso ( alpha =...Distance between coefficients : 1.01e-13 Comparing the two Lasso...scikit-learn.org/stable/auto_examples/linear_model/plot_lasso_dense_vs_sparse_data.html -
Restricted Boltzmann Machine features for digit...
1 )) # 0-1 scaling X_train , X_test...False tol 1 C 100.0 fit_intercept True intercept_scaling 1 class_weight...scikit-learn.org/stable/auto_examples/neural_networks/plot_rbm_logistic_classification.html -
IsolationForest example — scikit-learn 1.7.2 do...
1 ], [ 0.7 , 0.4 ]]) cluster_1 = 0.4 * rng . randn...assigned a ground truth label 1 whereas the outliers (created...scikit-learn.org/stable/auto_examples/ensemble/plot_isolation_forest.html -
Comparison of kernel ridge and Gaussian process...
num = 1_000 ) . reshape ( - 1 , 1 ) target = np . sin...ExpSineSquared(length_scale=1, periodicity=1) Our kernel has two parameters:...scikit-learn.org/stable/auto_examples/gaussian_process/plot_compare_gpr_krr.html -
Map data to a normal distribution — scikit-lear...
1 ) # lognormal distribution X_lognormal.... uniform ( low = 0 , high = 1 , size = size ) # bimodal distribution...scikit-learn.org/stable/auto_examples/preprocessing/plot_map_data_to_normal.html -
Visualization of MLP weights on MNIST — scikit-...
Iteration 1, loss = 0.44139186 Iteration 2,...fetch_openml ( "mnist_784" , version = 1 , return_X_y = True , as_frame...scikit-learn.org/stable/auto_examples/neural_networks/plot_mnist_filters.html -
Feature agglomeration — scikit-learn 1.7.2 docu...
- 1 )) connectivity = grid_to_graph...images . shape ) plt . figure ( 1 , figsize = ( 4 , 3.5 )) plt ....scikit-learn.org/stable/auto_examples/cluster/plot_digits_agglomeration.html -
Feature importances with a forest of trees — sc...
shape [ 1 ])] forest = RandomForestClassifi...min_samples_split 2 min_samples_leaf 1 min_weight_fraction_leaf 0.0 max_features...scikit-learn.org/stable/auto_examples/ensemble/plot_forest_importances.html -
Density Estimation for a Gaussian mixture — sci...
norm = LogNorm ( vmin = 1.0 , vmax = 1000.0 ), levels =...X_train [:, 0 ], X_train [:, 1 ], 0.8 ) plt . title ( "Negative...scikit-learn.org/stable/auto_examples/mixture/plot_gmm_pdf.html -
sklearn.impute — scikit-learn 1.7.2 documentation
Transformers for missing value imputation. User guide. See the Imputation of missing values section for further details.scikit-learn.org/stable/api/sklearn.impute.html