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
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
Fabian Pedregosa
19bca16d5a
FIX tests when run with scikits.learn.test()
...
scikits.learn.test() is increadibly picky with lambda functions or
staticmethods.
2010-12-17 15:32:38 +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