138e688ea6
Refactoring in svm module.
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Renaming and module denesting. This is just a refactoring of low-level
routines to ease usage of the low-level API. Higher level API was not
changed.
2011-03-30 16:06:49 +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
09940a99a6
API: SVMs: eps -> tol
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Change the eps argument to 'tol' and expose it in base classes.
The reasonning behind calling this argument tol rather than eps is that
it is a bound on the tolerance of the optimization, and it does not
relate to the machine precision (eps).
2011-03-01 17:51:50 +01:00
f79b27d9f4
Rename SparseTransformerMixin to CoefSelectTransformerMixin.
2011-02-15 17:33:34 +09:00
1fa7336b7c
Use sparse.base.SparseTransformerMixin.
2011-02-14 16:45:49 +09:00
384824906a
Add SparseTransformerMixin.
2011-02-14 16:22:41 +09:00
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
a7047ca22b
liblinear bias/intercept handling
2010-12-16 12:36:15 +01:00
7d16891664
Add notes on fluctiations of liblinear.
2010-12-14 19:33:35 +01:00
89377b979a
API : maxit replaced by max_iter everywhere
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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
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
758e5c560c
Remove redundant site.cfg parsing.
2010-12-07 15:27:31 +01:00
7fceccb5fe
Merge branch 'sgd-rename'
2010-12-03 11:28:32 +01:00
a99078063a
BUGFIX in sparse.SGDRegressor
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added more tests for SGDRegression
2010-12-03 11:25:43 +01:00
fdc0aa01ed
Merge branch 'log_proba'
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closing pull request :
https://github.com/scikit-learn/scikit-learn/pull/17
following ticket :
http://sourceforge.net/apps/trac/scikit-learn/ticket/157
Conflicts:
scikits/learn/svm/base.py
scikits/learn/svm/libsvm.py
2010-12-02 14:45:52 -05:00
2aa32c1af8
Merge branch 'master' into sgd-rename
2010-12-01 17:05:05 +01:00
fea5d1835f
Some love for scikits.learn.svm.
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* Lazily import scipy.sparse when possible: this way we can add
svm.sparse to svm.__init__ without loss of performance.
* Improved docstrings for dense and sparse versions.
2010-12-01 12:25:06 +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
ecce971725
Initial support for weighted samples in svm module.
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Also added test for the dense and sparse case.
2010-11-26 13:44:24 +01:00
68bc58d029
glm --> linear_model rename holocaust.
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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
Fabian Pedregosa