51b06b8203
FIX doctests for max_iter
2012-10-16 16:46:48 +02:00
5d6540d054
ENH: renaming iter_limit -> max_iter
2012-10-16 16:13:00 +02:00
812376955a
ENH: adding iter_limit to libsvm
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This commit adds support for a new libsvm parameter, which permits setting a
hard limit on the while loop in the svm.cpp file, in the Solver::Solve
function. Without this functionality, it has been observed that libsvm hangs
without converging in a reasonable time -- it can take days instead of
seconds, and perhaps it is in fact an infinite loop, I don't know. This
commit allows the user to set a hard limit on the number of libsvm iterations,
and modifies the libsvm bindings to raise a new exception of SolverTimeout
when this limit is reached.
2012-10-16 16:13:00 +02:00
5954727b49
Deprecated sparse classes from the SVM module - refs #1093
2012-09-02 20:45:56 +02:00
9e7c03f71a
Add or fix deprecation schedule in warnings.
2012-09-01 20:02:14 +02:00
4a579f842c
BUG remove predict{_log,}_proba from SVR
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Also, swapped predict_proba and predict_log_proba docstrings on SVC classes.
2012-07-21 02:20:33 +02:00
aa33e0e378
FIX more doctests that I broke.
2012-06-22 22:07:05 +02:00
4e7d9962f6
ENH fixed doctests, addressed comments.
2012-06-15 19:31:47 +02:00
6592fdbee4
P3K: Fixing prints and dtypes
2012-05-11 11:24:27 +02:00
15455263b7
API : change back default C to 1. explicitely and epsilon 0.1
2012-05-05 21:57:04 +02:00
77954f292e
FIXed many tests
2012-05-05 21:57:04 +02:00
66d00f4748
MISC trying to remove scale_C
2012-05-05 21:57:04 +02:00
cb76a77d5f
BUG fix issue #753 , "Sparse OneClassSVM missing argument to super()"
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Only affects backwards compat version in sklearn.svm.sparse.
2012-04-04 11:50:56 +02:00
c90a329080
Add verbose parameter to SVMs ( fixes #250 )
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Add a verbose parameter to SVMs to get verbose output from libsvm
printed to stdout while fitting a model.
Note that this setting takes advantage of a per-process runtime setting
in libsvm that, if enabled, may not work properly in a multithreaded
context.
2012-03-15 00:16:06 -07:00
0321ded656
Stop passing keyword arguments for positional args
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The base SVM class constructors take positional arguments, but some of
their subclasses were passing some of the arguments in as keyword
arguments.
2012-03-14 23:15:54 -07:00
c920fd8186
API: use C=None by default in libsvm/liblinear bindings so (C=1, scale_C=False) which is libsvm default == (C=None, scale_C=True) which is the scikit default
2012-03-07 15:34:24 +01:00
868eac134f
Merge branch 'master' into svm_class_weights
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Conflicts:
doc/modules/svm.rst
doc/tutorial.rst
doc/whats_new.rst
sklearn/linear_model/logistic.py
sklearn/svm/base.py
sklearn/svm/classes.py
sklearn/svm/sparse/classes.py
sklearn/svm/tests/test_sparse.py
sklearn/svm/tests/test_svm.py
2012-02-15 00:12:02 +01:00
f0dc6116ad
API: set scale_C to True by default in libsvm/liblinear models
2012-02-11 14:42:47 +01:00
0e8312312b
ENH: moved class_weight parameter in svms from fit to ``__init__``.
2012-02-07 00:24:02 +01:00
24477d4109
Cosmit: remove unused imports
2012-01-23 18:19:32 +01:00
9b0fbab0d1
ENH merge dense/sparse LinearSVC, part 3: deprecate sparse.LinearSVC
2012-01-16 18:27:14 +01:00
a9470d12ca
ENH merge dense/sparse LinearSVC, part 2: no more sparse.CoefSelectTransformer
2012-01-16 18:05:40 +01:00
263d6c02f7
ENH merge dense/sparse LinearSVC, part 1: no more SparseBaseLibLinear
2012-01-16 17:55:47 +01:00
8ec89a9fc2
ENH : C scaling of sparse models
2011-12-18 12:39:26 +01:00
cfcf42e742
Merge branch 'master' into n_samples_scaling
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Conflicts:
doc/whats_new.rst
sklearn/grid_search.py
sklearn/svm/base.py
sklearn/svm/classes.py
sklearn/svm/sparse/classes.py
2011-12-15 15:17:46 +01:00
bb5ddcbaac
fix: rm `nu` argument from sparse.SVR (taken from dense SVR).
2011-11-22 22:10:08 +01:00
16f628e827
Revert "FIX : removing param nu from sparse.SVR, C from NuSVR + pep8"
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This reverts commit ad9f7b5a64
2011-11-22 14:50:27 +09:00
fee7e8a2d9
FIX use super consistently in SVMs
2011-11-15 23:46:36 +01:00
fdbd584a93
s/C_scale_n_samples/scale_C
2011-11-11 21:36:19 -05:00
5504034f4a
$Merge branch 'master' into n_samples_scaling
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Conflicts:
sklearn/svm/classes.py
sklearn/svm/sparse/classes.py
2011-11-11 21:22:17 -05:00
ad9f7b5a64
FIX : removing param nu from sparse.SVR, C from NuSVR + pep8
2011-11-11 21:15:59 -05:00
6def64c3e6
ENH : adding support for scaling by n_samples of the C parameter in libsvm and liblinear models
2011-11-11 16:43:03 -05:00
bdc69b6200
DOC: fogot doctests in python files.
2011-11-04 14:35:18 +01:00
4e746501ea
ENH: SVM cache_size default value changed to 200 mb
2011-11-04 13:34:20 +01:00
d961d79d52
BUG: cache_size also for sparse SVMs
2011-11-03 17:28:43 +01:00
93f7bd9831
cosmit: pep8
2011-10-02 18:31:39 +02:00
3b34162524
fix: use None as default value for class_weight and sample_weight for sparse OneClassSVM; ample_weight -> sample_weight
2011-10-02 18:21:46 +02:00
90705a512f
FIX broken tests by last commit.
2011-09-13 14:31:05 +02:00
c8f09369cd
Use LinearSVC's docstring instead of outdated one.
2011-09-12 22:23:34 +02:00
ddf4b72109
Move project directory from scikits.learn to sklearn
2011-09-02 12:06:57 +02:00
68f27e3790
Revert "Move project directory from scikits.learn to sklearn"
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This reverts commit fd0d3b879d
2011-09-02 12:03:18 +02:00
fd0d3b879d
Move project directory from scikits.learn to sklearn
2011-09-02 11:38:24 +02:00
Andreas Mueller