e3afc0e8c9
MAINT move custom error/warning classes into sklearn.exceptions
...
ENH NonBLASDotWarning -> EfficiencyWarning; Improve error message
DOC Add exceptions module to modules/classes.rst
MAINT Move ConvergenceWarning, UndefinedMetricWarning et al into exceptions
MAINT Remove ChangedBehaviorWarning from base
DOC/FIX Improve DataConversionWarning's docstring
2015-10-19 22:35:35 +02:00
2300bdd865
MAINT switching master to 0.18.dev0
2015-10-16 17:17:57 +02:00
679936f6bc
MAINT Deprecate LDA/QDA in favor of expanded names
...
The LDA accronym for Linear Discriminant Analysis is ambiguous
because of the newly introduced Latent Dirichlet Allocation model.
We therefore deprecate the sklearn.lda.LDA and sklearn.lda.QDA
in favor of explicit names.
2015-09-11 15:32:11 +02:00
6beacc3fb6
remove deprecated stuff from 0.17
2015-03-18 14:49:04 -04:00
5e4809caa8
Move dev branch to 0.17
2015-03-06 17:55:01 -05:00
ff942f9688
MAINT use canonical PEP-440 dev version consistently
2015-03-06 18:10:18 +01:00
ecfc93ddf6
ENH Add probability calibration based on isotonic regr. and Platt's sigmoid fit + calibration-curve
...
CalibratedClassifierCV allows to calibrate the predicted probabilities of base classifiers based on a cross-validation scheme and either Platt's sigmoid fit or isotonic regression. This can be used to compensate for an under-confident or over-confident classifier. It allows also to turn the decision scores of a non-probabilistic classifier into valid probabilities.
The function calibration_curve allows to evaluate how well calibrated the probabilties returned by a classifier are. Ideally, the curve should be close to diagonal.
2015-02-20 19:37:10 +01:00
f1b42845f4
FIX Add kernel_ridge to list of all submodules
2015-01-18 11:01:43 +09:00
6d7d25fc8c
MAINT dev version to follow PEP440
2014-12-25 23:11:15 +11:00
b4e41cb614
FIX update sklearn.__all__ to include all end-user submodules
2014-09-02 11:23:19 +02:00
be93a75d29
MAINT remove sklearn.test
2014-07-22 15:58:55 +02:00
259b487fb4
MAINT remove deprecated sklearn.pls module
2014-07-22 15:54:54 +02:00
e8cb36f83d
MAINT master to 0.16-git
...
master has 0.16-only commits since the 0.15-branching tag.
New features have to be documented as new features in the 0.16 section.
Bugfixes to be included in the 0.15.0 release have to be cherry-pick'ed in the
0.15.X branch and document in the 0.15 section.
2014-07-14 21:42:06 +02:00
42c31430c9
MAINT: restore -git version in the master branch after the last release merge
2014-06-09 14:53:40 +02:00
bc8666f60f
Branching 0.15.X to prepare the 0.15.0b1 release
2014-06-06 11:57:04 +02:00
61c3b6a32f
FIX use of str.format for Py2.6
2013-11-28 14:53:33 +11:00
9e1edd11e3
FIX stop forcing deprecation warnings for external packages
2013-11-28 14:32:07 +11:00
af5e297302
MAINT/DOC: bump docs and rev numbers to 0.15-git
2013-08-08 01:13:06 +02:00
6bb4cd7d92
TST: avoid nose running sklearn.test as a test
2013-08-07 22:50:33 +02:00
987e2a002a
MISC: deprecation notice
...
Indicate when the function will be removed.
2013-08-06 08:38:30 +02:00
bec85af385
MAINT: remove sklearn.test()
2013-08-06 08:38:30 +02:00
b732f4d1a7
MAINT deprecated the pls module, moved CCA to cca_
...
TEST don't need to excluse _PLS and _CCA
2013-07-25 11:01:59 +02:00
38e84c5fb9
MAINT Move the pls to the cca to a cross_decomposition module
2013-07-25 11:01:59 +02:00
19beac87ff
REL change version to 0.14-git everywhere, update news, support page.
2013-01-21 22:07:26 +01:00
e12c67306e
cosmit pep8
2012-12-16 23:28:10 +01:00
23ac37a4fb
API : move isotonic regression out of linear_model
2012-11-14 22:01:53 +01:00
88f7df2922
COSMIT website address + copyedit in __init__.py
2012-10-23 17:40:33 +02:00
fb7e3abe50
Python3 compat: print()
2012-10-05 17:56:37 +02:00
d50c0cb06c
COSMIT pep8
2012-10-02 17:31:00 +01:00
f1e4427c5c
MISC starting 0.13 cycle
2012-09-04 19:39:19 +01:00
b5519f08da
Merge branch 'linking_arrayfuncs'
...
Conflicts:
setup.py
sklearn/__init__.py
2012-07-26 23:33:29 +02:00
ecda4de954
COSMIT: explainations of the partial import
2012-07-26 11:39:56 +02:00
d8e30f1ca8
REF: hack to be able to share distutils utilities.
...
We took the ugly trick from NumPy to separate build vs normal use of
sklearn imports.
2012-07-25 11:35:40 +01:00
4915d4dcd9
ENH: sklearn.setup_module to preseed RNGs to reproduce failures
...
Could easily be controlled from the environment via SKLEARN_SEED
Besides adding setup_module() to the sklearn space should be of no
effect for any regular imports of sklearn.
2012-07-23 16:42:18 +02:00
cd7404706c
MISC: clean up top-level namespace
2012-05-09 00:32:27 +02:00
67cad73a56
RELEASE HEAD is now 0.12-git
2012-05-07 18:28:34 +02:00
73fdf6a9c9
RELEASE 0.11
2012-05-07 18:19:35 +02:00
df3dac765d
BUG: fix testing on older numpy
2012-05-06 19:37:19 +02:00
1eae414837
TST: do not raise warnings in sklearn.test()
...
This fixes #834
2012-05-06 19:28:19 +02:00
b36beb4e7b
Merge branch 'label-propagation'
2012-02-02 12:55:56 +01:00
268aed6b42
TL directory change to push label propagation code into semi_supervised
2012-01-22 21:13:56 -08:00
4533aa33da
Start of 0.11 development cycle.
2012-01-10 18:27:24 +01:00
a07218757b
Still some tweaks for the sklearn.test() example
2012-01-09 15:15:05 +01:00
2108f11271
FIX: doctest
2012-01-09 14:58:16 +01:00
552bc9d568
DOC: exaple for sklearn.test()
2012-01-09 14:27:30 +01:00
81bff12a09
ENH: Easier debugging in check_build
2011-11-08 22:26:52 +01:00
8782723e3a
MISC: even better check_build error reporting
2011-10-08 19:03:37 +03:00
ea59b84075
MISC: better check_build error reporting
2011-10-08 11:35:51 +02:00
2aaa1fe350
COSMIT
2011-09-24 11:17:38 +02:00
9748a50690
Start of 0.10 development cycle.
2011-09-20 16:13:30 +02:00
Raghav R V