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
dc943722de
COSMIT refactor linear classifiers
...
Factored out the common code to LinearSVC, LogisticRegression, Perceptron
and SGDClassifier into a LinearClassifierMixin.
2012-09-17 21:06:36 +02:00
8727405d26
DOC + COSMIT LogisticRegression: docstring + rewrite predict_proba
2012-09-13 21:00:12 +02:00
706319655a
ENH refactor liblinear prediction code and add classes_ member
...
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
7fb4fa359d
Fixed docstring for C param in BaseLibLinear/SVM subclasses.
...
And added deprecation warning.
2012-08-22 16:05:14 -04:00
a93945a171
DOC added class_weight to LogisticRegression docstring
2012-08-11 19:11:54 +01:00
15455263b7
API : change back default C to 1. explicitely and epsilon 0.1
2012-05-05 21:57:04 +02:00
66d00f4748
MISC trying to remove scale_C
2012-05-05 21:57:04 +02:00
1caad7d571
ENH : adding scaled_C_ attribute
2012-03-07 15:34:24 +01:00
5507f0895c
FIX : remove useless C definition in non-fit methods
2012-03-07 15:34:24 +01:00
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
...
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
7441db89ce
update docstring with WARNING
2012-02-11 14:55:20 +01:00
366ceb2d84
DOC: update scale_C docstrings + add notes to svm.rst
2012-02-11 14:43:45 +01:00
ed90bc5cf7
DOC: indent pb
2012-02-11 14:43:45 +01:00
d41768a95c
DOC : add warning in docstrings for scale_C gone in 0.12
2012-02-11 14:43:45 +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
77d83b61f9
Remove CoefSelectTransformerMixin and use SelectorMixin instead.
...
This fixes issue #518 .
2012-01-25 18:04:27 +09:00
cb00e97dc2
COSMIT pep8
2012-01-23 10:02:01 +01:00
278fe52ba2
COSMIT refactor liblinear bindings
...
Move knowledge of the CSR matrix format down the chain.
2012-01-16 23:34:03 +01:00
cd131ee9c8
DOC reference for logistic regression training with liblinear
2012-01-16 22:07:07 +01:00
0b0bcfc311
ENH merge dense/sparse LinearSVC, part 4: deprecate sparse.LogisticRegression
2012-01-16 21:34:55 +01:00
35c1222ebf
DOCs workaround for docutils bug (column alignment problem)
2012-01-08 21:20:24 +01:00
436fcbe08c
document the fact that coef_ is readonly for LogisticRegression and LinearSVC
2012-01-07 18:13:43 +01:00
6c17d0d8af
COSMIT make 'References' bold and minor other fixes.
2011-12-22 20:57:54 +01:00
ff517ddf32
DOC rm References sections in docstrings
...
According to @GaelVaroquaux, this breaks the NumPy docstring parser.
Moved references to Notes or See also sections, depending on context.
2011-12-21 18:05:22 +01:00
b4838e764b
merge master
2011-12-19 16:45:50 +01:00
dd6a56c37c
cosmit
2011-12-17 15:20:50 +01:00
cfcf42e742
Merge branch 'master' into n_samples_scaling
...
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
78fa279dc6
COSMIT more pep8
2011-11-28 23:55:33 +01:00
a51424b943
Small comment on the dual parameter
...
Related to 404152d587
2011-11-24 18:03:03 +01:00
fdbd584a93
s/C_scale_n_samples/scale_C
2011-11-11 21:36:19 -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
3bde2bf97b
ENH accept matrix input throughout
...
Simple solution: replace np.asanyarray with np.asarray throughout.
Also, use utils.as_float_array where appropriate.
2011-10-21 13:51:12 +02:00
10d78a7677
DOC: LogisticRegression is a wrapper for liblinear.
2011-10-19 15:52:35 +03:00
96746bcd88
DOC explain multiclass behavior in LogisticRegression
2011-10-19 14:41:49 +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"
...
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