Gemfury

duality-group / scikit-learn python

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scikit-learn / examples / linear_model
..
README.txt
plot_ard.py
plot_bayesian_ridge_curvefit.py
plot_elastic_net_precomputed_gram_matrix_with_weighted_samples.py
plot_huber_vs_ridge.py
plot_iris_logistic.py
plot_lasso_and_elasticnet.py
plot_lasso_coordinate_descent_path.py
plot_lasso_dense_vs_sparse_data.py
plot_lasso_lars.py
plot_lasso_lars_ic.py
plot_lasso_model_selection.py
plot_logistic.py
plot_logistic_l1_l2_sparsity.py
plot_logistic_multinomial.py
plot_logistic_path.py
plot_multi_task_lasso_support.py
plot_nnls.py
plot_ols.py
plot_ols_3d.py
plot_ols_ridge_variance.py
plot_omp.py
plot_poisson_regression_non_normal_loss.py
plot_polynomial_interpolation.py
plot_quantile_regression.py
plot_ransac.py
plot_ridge_coeffs.py
plot_ridge_path.py
plot_robust_fit.py
plot_sgd_comparison.py
plot_sgd_early_stopping.py
plot_sgd_iris.py
plot_sgd_loss_functions.py
plot_sgd_penalties.py
plot_sgd_separating_hyperplane.py
plot_sgd_weighted_samples.py
plot_sgdocsvm_vs_ocsvm.py
plot_sparse_logistic_regression_20newsgroups.py
plot_sparse_logistic_regression_mnist.py
plot_theilsen.py
plot_tweedie_regression_insurance_claims.py

.. _linear_examples:

Generalized Linear Models
-------------------------

Examples concerning the :mod:`sklearn.linear_model` module.