7136feda91 | ||
---|---|---|
.. | ||
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 |
README.txt
.. _linear_examples: Generalized Linear Models ------------------------- Examples concerning the :mod:`sklearn.linear_model` module.