46fc1be145
Remove redundant words in sklearn
2016-02-23 16:54:03 +08:00
19f109ce87
The presort parameter is never acutally used
2015-11-16 15:07:09 -08:00
6ec1c38ab3
Change super call to pass presort value to super
2015-11-16 14:47:03 -08:00
f2e35411fa
Added more versions of 0.17
2015-11-04 00:02:52 +01:00
fea218e5cf
In tree, min_samples_split and min_samples_leaf now accept float number as percentage.
2015-10-24 23:18:52 +02:00
e3afc0e8c9
MAINT move custom error/warning classes into sklearn.exceptions
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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
85223b9bcc
a common test to check if classifiers fail when fed regression targets
2015-10-14 14:46:13 -04:00
02c0029baa
ENH gbt sparse support
2015-09-28 13:44:12 -07:00
6dd6f8ffe8
minor fixes to the doc build
2015-09-11 17:32:51 -04:00
bc225a5e1a
ENH apply method added to Gradient Boosting
2015-09-10 10:32:51 +02:00
5978c0bbdf
ENH split _tree.pyx into several files
2015-09-09 11:28:24 +02:00
8453daa6b9
Use expit function to compute the probability in ExponentialLoss class.
2015-06-08 13:03:52 -04:00
0650d5502e
DOC adding backlinks to docstrings
2015-06-03 00:24:04 -04:00
0aea95c715
DOC add random_state to parameter docstring in gradient boosting
2015-05-11 12:11:41 -04:00
72450ea8a3
DOC GradientBoostingX.estimators_ docstring shape.
2015-04-06 13:19:39 -04:00
d89c215013
Add tags to classifiers and regressors to identify them as such.
2015-03-31 19:59:49 -04:00
6f335af7ee
fix issue 4447 : min_weight_leaf not properly passed to PresortBestSplitter
2015-03-25 14:11:13 +01:00
3468e00471
Merge pull request #4057 from amueller/dtype_object_conversion
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[MRG + 2] make check_array convert object to float.
2015-02-24 22:33:20 +01:00
0036dd0319
ENH make defensive copies in GradientBoosting*.staged_decision function.
2015-02-24 16:28:33 -05:00
96d4b3e709
more robust check for dtype object
2015-02-18 14:11:58 -08:00
cd5166e82f
make check_array convert object to float.
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fix dtype check, add test. unfriend all multi-output estimators on facebook.
try to fix what is happening to y (by doing nothing to y)
make test work...
Make everything accept object y or say "invalid label"
fix multioutput linear models
add test for sensible error message.
2015-02-15 12:13:41 -05:00
38104ff4e8
Merge pull request #4193 from lesteve/deactivate-travis-default-venv
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CI: test with NumPy 1.6.1, fix for its broken bincount
2015-02-03 16:25:36 +01:00
cfd68ef435
Merge pull request #4198 from arjoly/gbrt-fix-percent-max_features
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FIX Ensure at least 1 feature is sampled when max_features is a float
2015-02-03 15:59:56 +01:00
92ed5eee42
FIX ensure that negative float max_features will lead to an error
2015-02-03 13:39:18 +01:00
92b90815a6
FIX Ensure at least 1 feature is sampled when max_features is a float
2015-02-03 13:30:17 +01:00
67dcd99d82
TST fix tests with numpy 1.6.1
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np.bincount raises an Exception with empty input arrays for numpy versions < 1.6.2
Add utils.fixes.bincount to tackle this issue and use it instead of np.bincount
2015-02-01 15:49:49 +01:00
b35b2fdad3
Add predict_log_proba method to GradientBoostingClassifier
2015-01-29 20:09:48 +01:00
247ad47361
Merge pull request #4153 from hsalamin/remove_exp_warning
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FIX get rid of overflow warning in gradient boosting
2015-01-23 17:33:31 +01:00
9ca04c24fe
Fix for overflow warning
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Use expit function to compute the negative gradient and
avoid exp overflow.
2015-01-23 11:43:54 +01:00
f6c7252ded
DOC staged_* returns generators. Fixes #3831 .
2015-01-22 17:34:41 -05:00
a413f875f1
DOC minor fixes do docstrings, don't document deprecated parameters.
2015-01-16 11:55:02 -05:00
b3fbccca38
FIX various mismatch between docstring and signature params
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DOC max_iterations -> max_iter. Make it consistent with kmeans
MAINT Replace the deprecated dx parameter with d in the docstrings
MAINT Deprecation warning for max_iterations parameter.
2015-01-16 11:54:57 -05:00
c970fb51e7
COSMIT spelling
2015-01-15 15:09:35 -05:00
129e319f99
FIX the try except block to recognize NotFittedError
2015-01-12 00:33:40 +05:30
abd31d2cad
MAINT Make uniform the error raised for not fitted condition
2015-01-12 00:33:40 +05:30
e77aac8e58
Documentation of max depth parameter
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Changed the docstring
Few docstring changes
2014-12-29 20:04:25 +05:30
7c50e6c8eb
various docstring fixes for web docs
2014-11-30 17:59:42 -08:00
373e641c52
MAINT refactor gradient boosting code
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Fixes gh-3790
2014-11-25 17:23:00 +01:00
e6835a7aac
Merge pull request #3779 from arjoly/sw-dummy-regressor
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[MRG+1] Add sample_weight support to Dummy Regressor
2014-11-04 09:50:01 +01:00
6b548f96f1
MAINT remove deprecated loss in gradient boosting
2014-10-24 12:58:13 +02:00
d4405cbf6c
MAINT remove deprecated oob_score_
2014-10-21 17:33:48 +02:00
da31344751
Add sample_weight support to Dummy Regressor
2014-10-16 16:41:49 +02:00
0241b65afb
GradientBoostingClassifier docstring incorrectly specified default for max_features as "auto" when it is None.
2014-09-28 13:45:12 -07:00
85b2c783ce
add probability output for exponential loss
2014-09-22 00:29:38 +02:00
4966b12e33
cosmit arr -> array
2014-09-18 10:44:31 +02:00
05fbc6423d
fix: sample_weight is None in Huber.deviance
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fix: sample_weight multiplication in Huber leaf updates
more tests (non-uniform weights, weight consistency and invariance to scaling, deviance consistence)
2014-09-18 10:42:36 +02:00
73a8c3a555
cosmit
2014-09-17 12:14:26 +02:00
d9925961df
fix: add **kwargs to Multinomial loss' negative_gradient
2014-09-17 12:14:26 +02:00
93b2b7dae1
fix: consider sample_weights in robost init estimator and negative_gradient
2014-09-17 12:14:26 +02:00
fd952cc0ec
sample weight support for robust regression via weighted percentile algo
2014-09-17 12:14:26 +02:00
YenChenLin