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20 Commits

Author SHA1 Message Date
Peter Prettenhofer d85aba65fd cosmit: pep8 2011-05-04 20:14:54 +02:00
Peter Prettenhofer db8fb49395 Fixed doc-tests and added doc strings for SGD learning rates. 2011-05-04 17:20:53 +02:00
Peter Prettenhofer 326a81aaea Added SGD regression benchmark 2011-05-04 17:20:44 +02:00
Peter Prettenhofer 2df3f2a271 SGD module supports two additional learning rates: constant and inverse scaling. 2011-05-04 17:20:17 +02:00
Fabian Pedregosa ec8edb63e8 I won't import scipy.sparse globally. 
I won't import scipy.sparse globally.
I won't import scipy.sparse globally.
I won't import scipy.sparse globally.
I won't import scipy.sparse globally.
...
 2011-04-01 17:32:58 +02:00
Peter Prettenhofer 3db9bbef5c pep8 + oliviers remarks 2011-03-21 09:25:42 +01:00
Peter Prettenhofer bc16f01e24 Additional tests for sample weights. 
Fixed some typos in doc strings.
Changed signature of coef_ for SGDClassifier; now adheres to svm convention that coef_ is shape [1, n_features] in the case of binary classification.
 2011-03-15 20:50:44 +01:00
Peter Prettenhofer dfa75da35d Sample weights for SGDClassifier. 
Additional test cases for class weight and sample weight.
Example plot for sample weight.
 2011-03-15 19:58:56 +01:00
Peter Prettenhofer 618a1b52e7 refactored SGD module (removed code duplication, better variable naming). 
added interface for sample weight.
added seed to interface of sparse SGD classifier and regressor.
 2011-03-15 16:29:49 +01:00
GaelVaroquaux 40f7ba34bd ENH: Fixed seed for shuffling in SGD 
Non reproducible random shuffling introduces too much noise in
cross-validation that makes parameter tuning hard.
 2011-03-02 15:40:31 +01:00
Mathieu Blondel f79b27d9f4 Rename SparseTransformerMixin to CoefSelectTransformerMixin. 2011-02-15 17:33:34 +09:00
Mathieu Blondel 384824906a Add SparseTransformerMixin. 2011-02-14 16:22:41 +09:00
Mathieu Blondel 0429494830 Handle sparse matrix in LinearModel. 2011-01-20 21:44:53 +09:00
Alexandre Gramfort 89377b979a API : maxit replaced by max_iter everywhere 
API : removing default computation of r2 coef in coordinate_descent (speed up +
    can be accessed simply eg. lasso.score(X, y))
 2010-12-11 23:14:55 -05:00
Olivier Grisel 264629b978 do not precompute explained_variance_ in linear model: can be too costly: use r2_score when needed instead 2010-12-12 02:56:15 +01:00
Anne-Laure Fouque 4cffab4e83 renamed explained_variance_score to r2_score in linear_model 
Signed-off-by: Fabian Pedregosa <fabian.pedregosa@inria.fr>
 2010-12-10 15:05:50 +01:00
Anne-Laure Fouque a2639ac0db ENH added R^2 coeff which is now used as score function in RegressorMixin 
Signed-off-by: Fabian Pedregosa <fabian.pedregosa@inria.fr>
 2010-12-10 15:05:50 +01:00
Peter Prettenhofer a99078063a BUGFIX in sparse.SGDRegressor 
added more tests for SGDRegression
 2010-12-03 11:25:43 +01:00
Fabian Pedregosa 560c6c7c17 More rename in the sgd module. 
Merge stochastic_descent into linear_model.
 2010-12-01 11:38:28 +01:00
Fabian Pedregosa 68bc58d029 glm --> linear_model rename holocaust. 
I also moved cd_fast.pyx from its src subdirectory to linear_models,
to match the sgd module structure.
 2010-11-25 16:27:30 +01:00