0563fa9a51
BUG halve the number of LinearSVCs
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np.random.randint can't handle the range [0..UINT_MAX] on platforms
with 32-bit long.
2012-10-28 21:27:14 +01:00
8b6f28061d
ENH allow more than 1000 linear SVMs with custom random seeds
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Random seed now picked in the range [0..UINT_MAX] instead of [0..1000].
Also changed the liblinear helper code to conform to C89 again, allowing
compilation with MSVC.
2012-10-27 22:55:53 +02:00
fc236b1441
TST: fix test counting warnings
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Hackish fix that involves reseting the module-specific registry tracking
the number of calls to a warning (check the warnings' module source
code to understand)
2012-10-17 07:31:51 +02:00
00be697425
FIX seed liblinear using srand. Fixes issue #919 .
2012-10-16 21:13:38 +01:00
7be6c2ce0e
FIX two more docstrings. Sorry.
2012-10-16 20:05:27 +01:00
51b06b8203
FIX doctests for max_iter
2012-10-16 16:46:48 +02:00
159fb129de
ENH: assert -> assert_equals
2012-10-16 16:13:00 +02:00
7fab72d912
FIX: adding missing c files from cython
2012-10-16 16:13:00 +02:00
4b8399b66b
ENH: hint about data normalization when SVC stops early
2012-10-16 16:13:00 +02:00
3c803daeb5
FIX: missing file hidden among the Cython output
2012-10-16 16:13:00 +02:00
5d6540d054
ENH: renaming iter_limit -> max_iter
2012-10-16 16:13:00 +02:00
fb48f29429
ENH: Solver iter_limit emits warning instead of raising exception
2012-10-16 16:13:00 +02:00
8fa79ee14d
FIX: committing updated Cython-generated libsvm bindings
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
77e69edcec
COSMIT rm deprecated stuff -- lots of it
2012-09-20 21:40:33 +02:00
ea51101924
COSMIT remove unused imports
2012-09-18 19:34:53 +01:00
dc943722de
COSMIT refactor linear classifiers
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Factored out the common code to LinearSVC, LogisticRegression, Perceptron
and SGDClassifier into a LinearClassifierMixin.
2012-09-17 21:06:36 +02:00
8a96ca1def
ENH no more distinction between "sparse" and "dense" LinearSVC
2012-09-16 21:17:17 +02:00
6f13021eac
Merge pull request #1143 from larsmans/refactor-liblinear
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Refactor liblinear bindings: rewrote prediction code in Python
2012-09-16 03:28:21 -07:00
1e9f7efe55
COSMIT rm svm.sparse tests to prevent deprecation warnings
2012-09-15 14:52:42 +02:00
3ed794e283
COSMIT comment out more unneeded liblinear code
2012-09-13 14:58:11 +02:00
6fd64d48d0
COSMIT liblinear C code cleanup
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Restore code to be slightly closer to upstream (still not possible to
run with the original library, though).
Comment out some more code that we don't use to reduce build time.
2012-09-13 00:32:46 +02:00
706319655a
ENH refactor liblinear prediction code and add classes_ member
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Liblinear bindings removed from LinearSVC and LogisticRegression
prediction code in favor of NumPy code.
* no more copying of X at predict time
* no more unchecked malloc at predict time
* -4000 lines of C code
* simpler handling of coef_ and intercept_
Also, support symbolic class names and classes_ on both estimators.
2012-09-13 00:16:42 +02:00
420a006361
COSMIT const and void* correctness in liblinear wrapper
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Suppresses a few warnings during build.
2012-09-12 16:00:55 +02:00
f54c0bcded
COSMIT use property.setter in sklearn.svm
2012-09-08 17:39:04 +02:00
006e7ef801
Add __all__ for the second half of the scikit
2012-09-04 18:00:49 +01:00
1c1ea99b74
DOC added some comments to the sparse precomputed kernel tests.
2012-09-03 11:02:14 +02:00
254e15fa55
ENH fix error by removing unnecessary test.
2012-09-03 11:02:14 +02:00
50a2d057ab
FIX add exception, check exception, if sparse.SVC is called with kernel='precomputed'
2012-09-03 11:02:14 +02:00
a6a8771e0c
MISC use assert instead of value error.
2012-09-03 11:02:14 +02:00
79ebf6c088
ENH added low-level bail out in sparse svm
2012-09-03 11:02:13 +02:00
31af7521d5
ENH support custom kernels on sparse matrices
2012-09-03 11:02:13 +02:00
4631a2192b
FIX sparse OneClassSVM was using the wrong parameter
2012-09-02 20:47:46 +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
42e9029a1e
TST classifier behavior with only one class present
2012-08-27 13:36:43 +02:00
b797265ebf
Merge branch 'fit_pairwise'
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Conflicts:
sklearn/cluster/tests/test_spectral.py
2012-08-27 10:39:24 +02:00
ceb0d8bb0a
Added version info to deprecation warning
2012-08-22 18:01:03 -04:00
7fb4fa359d
Fixed docstring for C param in BaseLibLinear/SVM subclasses.
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And added deprecation warning.
2012-08-22 16:05:14 -04:00
5c3853cceb
Merge branch 'master' into fit_pairwise
2012-08-05 14:44:05 +01:00
68693b8f47
BF: adapt a svm test to recent numpy versions.
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Use assert_raises((Exception1, Exception2), ...) syntax to catch
an exception that may vary according to numpy version.
2012-07-24 18:12:44 +02:00
408d3ef86d
COSMIT, removed scikits.learn things, removed orphan file.
2012-07-23 22:50:12 +01:00
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
9ad5d3281d
docstring fixes
2012-07-19 14:21:49 +02:00
163d7772e2
ENH better input validation for prediction in SVC, LinearSVC.
2012-06-27 22:03:15 +02:00
310a8cebd5
MISC raise NotImplementedError instead of value error in decision_function of sparse SVM
2012-06-26 14:16:04 +02:00
ee7d78ce47
Make sparse svm base class ABC
2012-06-26 14:16:04 +02:00
26c31bf810
ENH make base classes abstract meta classes
2012-06-26 14:16:03 +02:00
537911eafb
MISC callable kernel gridsearch fix...
2012-06-22 22:25:03 +02:00
37cadf03c0
Merge branch 'master' into fit_pairwise
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Conflicts:
sklearn/svm/base.py
2012-06-22 22:20:18 +02:00
Lars Buitinck