a228016585
Leading underscores for warnings imported from sklearn.exceptions
...
in other modules where warnings are deprecated.
Prefix warnings imported from sklearn.exceptions instead of
suffixing to prevent showing both the suffixed warning
and the deprecated warning during tab completion.
2016-01-08 12:40:10 -05:00
857cb09254
FIX/ENH Make the moved class resilient to the deprecation patching
2015-10-20 01:24:35 +02:00
61ae8d56c4
MAINT move deprecated into deprecation.py
2015-10-19 22:35:36 +02:00
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
6966881328
MAINT use inspect.signature for introspection
2015-09-23 16:30:53 +02:00
cf2a875cd7
FIX: Fix for changing mode
2015-08-20 09:58:28 -04:00
3a82309d98
extend R^2 description
2015-07-12 01:25:52 +02:00
9a4b75a7e3
ENH Document how to get valid parameters in set_params
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Issue #4690
2015-06-11 23:25:57 +10:00
6d4bcda876
ENH refactor OVO decision function, use it in SVC for sklearn-like decision_function shape
2015-06-05 13:14:45 -04:00
1abb41a3ca
DOC add comment for np.nan equality test in clone
2015-05-19 16:17:49 +02:00
1bf81b1926
ENH: Avoid equality comparison for nans.
2015-05-18 11:40:47 -05:00
669a4ea853
ENH add high-level estimator-validation function
2015-04-28 16:46:13 -04:00
d89c215013
Add tags to classifiers and regressors to identify them as such.
2015-03-31 19:59:49 -04:00
24c0efd12f
PEP8 Fix E112 and E113 errors
2015-01-08 04:00:28 +05:30
c453711bc6
MAINT big refactor of sklearn.cluster.bicluster
...
* Removed dead and useless code in the utils submodule;
* decoupled sklearn.base from the bicluster module (no more deep import);
* rewrote tests to test the API, not the implementation;
* added input validation to the get_submatrix method (but it still needs
documentation, because I've no idea what to pass for data);
* got rid of the subdirectory when it turned out only one file was left.
2014-09-04 16:13:05 +02:00
c03b987a8a
DOC typo + not forgetting single output case
2014-07-19 15:47:27 +02:00
16870ffd46
ENH + DOC set a default scorer in the multiclass module
2014-07-19 15:13:23 +02:00
67b8601314
Minor fixes in the docs
2014-06-07 16:38:53 +02:00
e9d660d80c
add sample_weight to base score and weight_boosting staged_score
2014-04-21 10:52:31 +02:00
90ce739061
FIX: more robust skip of implicit constructor
...
Parameter introspection requires introspecting the keyword arguments of the
constructor of Python classes deriving from BaseEstimator.
This can be problematic for classes that do not override the default
constructor. Introspecting the implicit constructor used to raise a TypeError
but this is no longer the case in Python 3.4+. Hence with use a explicit check
for the implicit constructor prior to using inspection.
2014-03-26 11:06:15 +01:00
ffd1e9aaa9
FIX remove confusing BaseEstimator.__str__
2014-01-14 13:16:45 +11:00
912d550f5c
Fix exception message when cloning a estimator that does not implement 'get_params' method.
2013-12-08 23:16:23 -05:00
7643f44d07
DOC add sklearn.base to generated docs
...
Fixes #1449 .
2013-12-05 13:03:43 +01:00
0d2c8c17e8
DOC improve biclustering docstrings
...
I had to figure out by experimentation what the methods were doing.
2013-09-30 12:33:24 +02:00
2c48bad54a
DOC improve docstrings in sklearn.base
...
These show up on almost all estimators!
2013-08-04 17:15:11 +02:00
9308d4a7de
made bicluster utilities for dealing with indicator vectors
2013-07-25 19:19:22 +02:00
5ad0dfb69b
wrote bicluster scoring using jaccard index and hungarian matching
2013-07-25 19:19:21 +02:00
a591ff9310
fixed a few things in examples, documentation, and docstrings
2013-07-25 19:19:21 +02:00
871d92b6ee
re-added bicluster mixin, this time with some functionality
2013-07-25 19:19:21 +02:00
d53f470d55
removed empty mixin
2013-07-25 19:19:17 +02:00
e0b64025b2
implement spectral biclustering and spectral co-clustering
2013-07-25 19:19:13 +02:00
edbeb6401e
DOC pep257 + c/e in sklearn.base
2013-07-25 10:49:44 +02:00
b285bd02aa
ENH better error message when estimators don't specify their parameters in the signature.
2013-07-22 15:58:45 +02:00
23a1a56a1e
Comment change
2013-07-12 20:57:04 -04:00
6121367995
Pop off the recently added filter after testing for deprecation warnings.
2013-07-12 20:46:47 -04:00
f1a40a4df4
Make the fixes 2.6 compatible
2013-07-10 16:01:10 -04:00
73e0492da9
Force warning to be heeded in deprecated args check. Possibly fixed a test bug (but maybe I just got it wrong)
2013-07-10 15:42:23 -04:00
ef2cff1d33
Forcing the deprecation warnings to happen while in get_params.
2013-07-10 15:03:03 -04:00
dacfd8bd5d
DOC: Replaced all BSD style licenses with "BSD 3 clause"
...
Replaced all BSD style licenses with "BSD 3 clause"
Not checked yet!
Removed duplicate "3 clause, 3 clause"
Removed trailing period if exists
Fixed some missed licences, still about 50 to do, but those can be automated
Think I got the last of them.
Apparently me and sed have different ideas of regex.
Found a few more
2013-04-30 08:34:46 +02:00
264a1f6b58
DOC fix clone and get_params documentation
2013-03-17 11:57:17 +01:00
1967a0b323
P3K use six to have a python 2 & 3 compatible code base
2013-02-09 18:08:44 +01:00
1271b4d2cd
DOC: small fix in the regression's score method documentation
2013-01-28 17:20:37 +01:00
68bfc9024d
ENH don't return deprecated parameters by get_params.
2013-01-19 17:16:43 +01:00
d5ce8dced0
COSMIT pep8
2013-01-17 12:51:12 +01:00
8d901badc5
ENH ClassifierMixin use a metrics from sklearn.metrics
2013-01-09 15:31:57 +01:00
11cdef7e6d
ENH common test that set_params returns self.
2013-01-09 09:27:53 +01:00
050b78c7c3
ENH lazy import of metrics in base, not preprocessing in metrics.
2013-01-05 14:08:40 +01:00
e12c67306e
cosmit pep8
2012-12-16 23:28:10 +01:00
ed1d5e244e
DOC move implementation details on mixins to comments
...
If the default fit_transform or fit_predict is optimal for a given estimator,
then don't bother the user with the fact that it's the default.
2012-10-23 17:58:53 +02:00
f18295c8ae
TST improve test-coverage in base, remove unreachable code-path
2012-10-07 22:25:06 +01:00
Raghav R V