f65efcf8eb
More use sklearn.utils.testing.
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My model is training :)
2012-10-25 21:21:22 +09:00
e64cea0342
ENH add random seed to logistic regression
2012-10-18 13:48:10 +02:00
fa93e209ff
FIX: wrong probabilities for OvR LogisticRegression
2012-09-28 19:13:46 +02:00
a164d57e74
TST writable coef_ and intercept_ on LogisticRegression
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Solves issue #470 .
2012-09-20 23:04:52 +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
42e9029a1e
TST classifier behavior with only one class present
2012-08-27 13:36:43 +02:00
eeb6dcc4cc
ENH use random states everywhere, never call np.random.
2012-05-06 18:35:14 +02:00
3e5f2e5e08
ENH backport "assert_less" and "assert_greater", rename "assert_lower" and use it everywhere :)
2012-05-06 15:43:29 +02:00
f0dc6116ad
API: set scale_C to True by default in libsvm/liblinear models
2012-02-11 14:42:47 +01:00
77d83b61f9
Remove CoefSelectTransformerMixin and use SelectorMixin instead.
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This fixes issue #518 .
2012-01-25 18:04:27 +09:00
db7271fb54
TST merge dense and sparse LogisticRegression tests
2012-01-16 23:38:25 +01:00
7d62369fa7
Check for consistent input in Logistic Regression.
2011-12-10 12:17:20 +01:00
aed53bfac4
FIX: assign NaN to an integer array has no effect on old numpy
2011-09-21 11:04:45 +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
Mathieu Blondel