Tom Dupré la Tour
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1107f223d5
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use class_weight through sample_weight in LogisticRegression with liblinear
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2016-05-25 14:54:02 +02:00 |
TomDLT
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94eb61960a
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ENH add sag solver in LogisticRegression and Ridge
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2015-09-10 13:28:02 -04:00 |
TomDLT
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1174e586b8
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DOC update whats_new
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2015-05-21 12:45:06 +02:00 |
TomDLT
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c51f067652
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ENH change func_grad_hess into grad_hess
FIX correct testing
FIX xrange to range for python 3
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2015-05-19 16:21:12 +02:00 |
Vinayak Mehta
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0cf41c8f3d
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Moved optimize test to a new file
simplified code
Used fhess_p
Added RandomState
Added tol=1e-10 to newton_cg
Added RandomState with seed 0
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2015-03-24 12:29:05 +05:30 |
MechCoder
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21a14fd82d
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FIX: Changed tolerance of newton-cg to be compliant with that of lbfgs
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2014-07-22 16:57:41 +02:00 |
MechCoder
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86dab1ea86
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ENH: Added warnings for convergence, added support for l1 penalty if solver is liblinear
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2014-07-22 16:57:41 +02:00 |
Manoj-Kumar-S
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ddb3395bff
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ENH: LogisticRegressionCV can now handle sparse matrices
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2014-07-22 16:57:40 +02:00 |
Fabian Pedregosa
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999c232859
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cosmetic
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2014-07-22 16:57:40 +02:00 |
Fabian Pedregosa
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02c4a289fa
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iterate some more on line search
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2014-07-22 16:57:40 +02:00 |
Fabian Pedregosa
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228f5b043f
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Remove warning (not needed any more)
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2014-07-22 16:57:40 +02:00 |
Fabian Pedregosa
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1443465c56
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Fallback for failing line search
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2014-07-22 16:57:40 +02:00 |
Fabian Pedregosa
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8cfa8ad6cc
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BUG when fit_intercept=False
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2014-07-22 16:57:40 +02:00 |
Fabian Pedregosa
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6e4f02c427
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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.
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2014-07-22 16:57:39 +02:00 |