Implementation of logistic_regression_path.

This is mostly the code from Gael's logistic_cv branch. My work is only some minor cleanup some added tests and benchmarking.
fabianp · Jul 29, 2013 · 66678b2 · 66678b2
1 parent 11a0c28
commit 66678b2
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Showing 4 changed files with 671 additions and 2 deletions.
diff --git a/sklearn/linear_model/__init__.py b/sklearn/linear_model/__init__.py
@@ -21,7 +21,8 @@
 from .stochastic_gradient import SGDClassifier, SGDRegressor
 from .ridge import (Ridge, RidgeCV, RidgeClassifier, RidgeClassifierCV,
                     ridge_regression)
-from .logistic import LogisticRegression
+from .logistic import (LogisticRegression, LogisticRegressionCV,
+                       logistic_regression_path)
 from .omp import (orthogonal_mp, orthogonal_mp_gram, OrthogonalMatchingPursuit,
                   OrthogonalMatchingPursuitCV)
 from .passive_aggressive import PassiveAggressiveClassifier
@@ -46,6 +47,7 @@
            'LinearRegression',
            'Log',
            'LogisticRegression',
+           'LogisticRegressionCV',
            'ModifiedHuber',
            'MultiTaskElasticNet',
            'MultiTaskLasso',
@@ -67,6 +69,7 @@
            'lars_path',
            'lasso_path',
            'lasso_stability_path',
+           'logistic_regression_path',
            'orthogonal_mp',
            'orthogonal_mp_gram',
            'ridge_regression']