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scikit-learn/examples/linear_model
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mathurinm bbedfa0216
use semilogx for a more readable xaxis (#17001) 		2020-04-23 11:43:07 +02:00
..
README.txt move around examples for better structure. 2014-07-17 09:35:30 +02:00
plot_ard.py [MRG] np.ones -> np.full (#11628) 2018-07-23 09:49:01 +02:00
plot_bayesian_ridge.py [MRG] np.ones -> np.full (#11628) 2018-07-23 09:49:01 +02:00
plot_bayesian_ridge_curvefit.py ENH Allows setting of initial hyperparameters for BayesianRidge (#13618) 2019-05-22 11:36:30 +10:00
plot_huber_vs_ridge.py CLN remove redundant default parameters in examples and tests (#14590) 2019-08-07 10:38:41 -07:00
plot_iris_logistic.py DEP change the default of multi_class to 'auto' in logistic regression (#13807) 2019-05-22 09:57:15 -04:00
plot_lasso_and_elasticnet.py DOC Include `use_line_collection` argument (#14326) 2019-07-13 11:35:05 -05:00
plot_lasso_coordinate_descent_path.py DOC return_X_y for load diabetes (#14762) 2019-08-24 23:17:01 -04:00
plot_lasso_dense_vs_sparse_data.py MNT Make modules private in sklearn.datasets (#15307) 2019-10-27 17:17:23 -04:00
plot_lasso_lars.py DOC return_X_y for load diabetes (#14762) 2019-08-24 23:17:01 -04:00
plot_lasso_model_selection.py use semilogx for a more readable xaxis (#17001) 2020-04-23 11:43:07 +02:00
plot_logistic.py MNT change default of solver in LogisiticRegression (#13805) 2019-05-08 21:31:39 +08:00
plot_logistic_l1_l2_sparsity.py EXA Use return_X_y=True with load_digits where appropriate (#14359) 2019-07-14 17:10:54 +02:00
plot_logistic_multinomial.py [MRG + 1] 18 more examples with matplotlib 2.0 updates (#8983) 2017-06-07 13:23:12 +02:00
plot_logistic_path.py DOC change logreg solver in plot_logistic_path (#15927) 2019-12-23 11:29:47 +01:00
plot_multi_task_lasso_support.py [MRG] DOC examples with correct notebook style (#9061) 2017-06-20 14:48:57 +02:00
plot_ols.py DOC return_X_y for load diabetes (#14762) 2019-08-24 23:17:01 -04:00
plot_ols_3d.py DOC return_X_y for load diabetes (#14762) 2019-08-24 23:17:01 -04:00
plot_ols_ridge_variance.py EXA Fix title, overlapping plots and axis labels in plot_ols_ridge_variance.py (#12296) 2018-10-09 21:44:57 +08:00
plot_omp.py EXA Removing redundant parameters assignment in examples (#14360) 2019-07-14 22:26:41 +08:00
plot_poisson_regression_non_normal_loss.py EXA align lorenz curves between the two examples with GLMs (#16640) 2020-03-05 11:55:25 +01:00
plot_polynomial_interpolation.py Added colorblind compatibility 2015-10-22 18:59:24 +02:00
plot_ransac.py [MRG] make the ransac example slightly more terse, improve range of plot (#8258) 2017-02-01 08:31:07 +01:00
plot_ridge_coeffs.py Ridge coefficients as a function of regularisation 2016-01-19 16:04:36 +01:00
plot_ridge_path.py [MRG] DOC examples with correct notebook style (#9061) 2017-06-20 14:48:57 +02:00
plot_robust_fit.py Huber regressor 2016-02-25 16:31:08 -05:00
plot_sgd_comparison.py MAINT Remove tolerance paramter from Perceptron (#14558) 2019-08-02 16:11:46 -04:00
plot_sgd_early_stopping.py MAINT Deprecate all of utils.testing except all_estimators (#15367) 2019-10-28 17:28:56 +01:00
plot_sgd_iris.py EXA Remove redundant tol parameter for SGDClassifier (#14556) 2019-08-02 14:04:10 -04:00
plot_sgd_loss_functions.py [MRG] loss function plot y-label slightly confusing (#8283) 2017-02-06 21:10:44 +11:00
plot_sgd_penalties.py MNT Make modules private in linear_model (#15324) 2019-10-23 15:34:26 +02:00
plot_sgd_separating_hyperplane.py MNT Make modules private in sklearn.datasets (#15307) 2019-10-27 17:17:23 -04:00
plot_sgd_weighted_samples.py EXA Remove redundant tol parameter for SGDClassifier (#14556) 2019-08-02 14:04:10 -04:00
plot_sparse_logistic_regression_20newsgroups.py EXA Minor fixes in plot_sparse_logistic_regression_20newsgroups.py (#15925) 2019-12-20 07:52:06 +11:00
plot_sparse_logistic_regression_mnist.py DOC/EXA Correct spelling of "Classification" (#15938) 2019-12-20 09:34:58 +01:00
plot_theilsen.py [MRG] DOC examples with correct notebook style (#9061) 2017-06-20 14:48:57 +02:00
plot_tweedie_regression_insurance_claims.py ENH Minimal Generalized linear models implementation (L2 + lbfgs) (#14300) 2020-03-04 14:08:24 +01:00

README.txt 

.. _linear_examples:

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

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