Meng Xinfan
0c5c87ae73
Update the docstring to reflect the package name changes.
2011-04-07 12:29:36 +02:00
Fabian Pedregosa
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
Gael varoquaux
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
Mathieu Blondel
f79b27d9f4
Rename SparseTransformerMixin to CoefSelectTransformerMixin.
2011-02-15 17:33:34 +09:00
Mathieu Blondel
1fa7336b7c
Use sparse.base.SparseTransformerMixin.
2011-02-14 16:45:49 +09:00
Paolo Losi
a7047ca22b
liblinear bias/intercept handling
2010-12-16 12:36:15 +01:00
Fabian Pedregosa
7d16891664
Add notes on fluctiations of liblinear.
2010-12-14 19:33:35 +01:00
Alexandre Gramfort
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
Fabian Pedregosa
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
Fabian Pedregosa
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
Fabian Pedregosa
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