scikit-learn/examples/linear_model
Jaques Grobler 0d63d785e7 Merge branch 'master' into WIP_tut
Conflicts:
	examples/linear_model/plot_ols.py
2012-03-22 17:12:36 +01:00
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README.txt DOC: Fixed links to modules in the example gallery 2011-12-19 16:07:01 +01:00
lasso_dense_vs_sparse_data.py cleaned some examples 2012-03-18 20:53:00 +01:00
plot_ard.py STY : pep8 2011-12-20 15:34:17 +01:00
plot_bayesian_ridge.py STY : pep8 2011-12-20 15:34:17 +01:00
plot_iris_logistic.py delete redundant file, merged some examples and updated links 2012-03-07 03:55:18 +01:00
plot_lasso_and_elasticnet.py MISC: fix the random number generators 2012-03-04 18:24:19 +01:00
plot_lasso_coordinate_descent_path.py pep8 2011-12-23 10:12:26 -08:00
plot_lasso_lars.py pep8 2011-12-23 10:12:26 -08:00
plot_lasso_model_selection.py pep8 2011-12-23 10:12:26 -08:00
plot_logistic.py delete redundant file, merged some examples and updated links 2012-03-07 03:55:18 +01:00
plot_logistic_l1_l2_sparsity.py COSMIT last try to make my plot pretty.... 2012-03-04 23:05:37 +01:00
plot_logistic_path.py pep8 2011-12-23 10:12:26 -08:00
plot_ols.py Merge branch 'master' into WIP_tut 2012-03-22 17:12:36 +01:00
plot_ols_3d.py 3 files moved into main example pool - links to them updated 2012-03-06 13:23:48 +01:00
plot_ols_ridge_variance.py merged ols and ridge variance + some neating 2012-03-08 14:04:57 +01:00
plot_omp.py Move project directory from scikits.learn to sklearn 2011-09-02 12:06:57 +02:00
plot_polynomial_interpolation.py ENH : avoid global seeding in plot_polynomial_interpolation.py 2011-12-19 11:43:24 +01:00
plot_ridge_path.py pep8 2011-12-23 10:12:26 -08:00
plot_sgd_iris.py MISC removed deprecated api from examples 2012-03-03 18:30:02 +01:00
plot_sgd_loss_functions.py FIX SGD loss example for new hinge loss. 2012-02-01 22:52:37 +01:00
plot_sgd_ols.py cleaned some examples 2012-03-18 20:53:00 +01:00
plot_sgd_penalties.py pep8 2011-12-23 10:12:26 -08:00
plot_sgd_separating_hyperplane.py cleaned some examples 2012-03-18 20:53:00 +01:00
plot_sgd_weighted_classes.py MISC Adjusted class_weight param in examples, fixed legend in unbalanced dataset examples. 2012-02-07 09:46:01 +01:00
plot_sgd_weighted_samples.py pep8 2011-12-23 10:12:26 -08:00
plot_sparse_recovery.py MISC: add randomized linear models to what's new 2012-02-01 09:01:54 +01:00

README.txt

.. _linear_examples:

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

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