d85aba65fd
cosmit: pep8
2011-05-04 20:14:54 +02:00
422d16277d
cosmit: removed trailing whitespace
2011-05-04 17:34:16 +02:00
89b396f0a1
added learning rate arguments to docstrings.
2011-05-04 17:22:52 +02:00
db8fb49395
Fixed doc-tests and added doc strings for SGD learning rates.
2011-05-04 17:20:53 +02:00
326a81aaea
Added SGD regression benchmark
2011-05-04 17:20:44 +02:00
2df3f2a271
SGD module supports two additional learning rates: constant and inverse scaling.
2011-05-04 17:20:17 +02:00
3db9bbef5c
pep8 + oliviers remarks
2011-03-21 09:25:42 +01:00
bc16f01e24
Additional tests for sample weights.
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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
618a1b52e7
refactored SGD module (removed code duplication, better variable naming).
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added interface for sample weight.
added seed to interface of sparse SGD classifier and regressor.
2011-03-15 16:29:49 +01:00
40f7ba34bd
ENH: Fixed seed for shuffling in SGD
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Non reproducible random shuffling introduces too much noise in
cross-validation that makes parameter tuning hard.
2011-03-02 15:40:31 +01:00
19bca16d5a
FIX tests when run with scikits.learn.test()
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scikits.learn.test() is increadibly picky with lambda functions or
staticmethods.
2010-12-17 15:32:38 +01:00
a99078063a
BUGFIX in sparse.SGDRegressor
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added more tests for SGDRegression
2010-12-03 11:25:43 +01:00
560c6c7c17
More rename in the sgd module.
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Merge stochastic_descent into linear_model.
2010-12-01 11:38:28 +01:00
Peter Prettenhofer