9bc4de8dae
some fixes for sphinx and in examples
2015-03-02 12:50:53 -05:00
dbc5d707c6
Change loss names for LinearSVC and LinearSVR()
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the names are now consistent across methods
In LinearSVC:
'l1' -> 'hinge'
'l2' -> 'squared_hinge'
In LinearSVR:
'l1' -> 'epsilon_insensitive'
'l2' -> 'squared_epsilon_insensitive'
2015-02-09 11:09:16 +01:00
f81a88c674
fix rst table layout
2015-01-25 19:42:39 -08:00
c970fb51e7
COSMIT spelling
2015-01-15 15:09:35 -05:00
6e0b3820c2
TYPO in model evaluation docs
2015-01-15 12:11:58 -05:00
8b4ddc0a86
Another doc typo fix
2014-12-27 00:37:23 -05:00
081a554698
FIX P/R/F metrics and scorers are now for binary problems only by default
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Scorers for different average parameters have been added.
2014-12-09 13:56:51 +11:00
b351548c16
DOC more explicit title
2014-11-27 12:42:48 +01:00
ee8500f3cf
DOC clarify how ties are broken for coverage_error
2014-11-27 12:42:48 +01:00
9311f12092
DOC improve documentation of coverage
2014-11-27 12:42:47 +01:00
81ac899714
ENH add coverage multilabel ranking metric
2014-11-27 12:42:47 +01:00
167e96ed5c
MAINT remove multi-output support from meadian absolute error
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At the moment, it's not clear what should be done. So it's left for latter.
2014-11-20 16:10:33 +01:00
0ce8886a64
DPC FIX latex error in multiclass hinge loss
2014-11-19 13:44:11 -05:00
6efa1cdde0
DOC FIX: typo and minor update
2014-11-14 16:14:43 -05:00
8eee4bc7e1
Implements Multiclass Hinge loss
2014-11-03 15:18:47 +01:00
ea1548ad48
Add quantile strategy to DummyRegressor. Fixes #3421 .
2014-10-16 09:49:09 +02:00
0298d9d0f1
Merge branch 'master' into median_absolute_error
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Conflicts:
doc/modules/model_evaluation.rst
2014-10-12 15:10:24 +02:00
c9e711b700
FIX: Small typo
2014-10-12 14:41:15 +02:00
afc372aaae
DOC: Added doc in model_evaluation.rst
2014-10-10 21:11:23 +02:00
577651753e
ENH: Added median_absolute_error to metrics
2014-10-10 20:25:22 +02:00
da749625dc
DOC reduce table width through less-qualified function names
2014-10-05 23:48:02 +11:00
2071518f70
DOC on negation of loss functions used as scoring parameters
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+ copy editing to model evaluation narrative documentation
2014-10-05 23:38:56 +11:00
f38c1ca3e7
Merge branch 'pr/3395'
2014-08-12 20:41:13 +02:00
e65d907efa
DOC A less-nested coverage of model evaluation
2014-08-04 13:21:39 +10:00
3edfa3cf17
Max iter param in Liblinear is now softcoded
2014-08-01 12:15:57 +02:00
a15434c27a
DOC label indicators are clearer as ints than floats
2014-07-30 22:13:42 +10:00
c19177196b
DOC improve documentatino thanks to @vene and remove mention of relevant labels
2014-07-17 17:15:08 +02:00
bb93ede201
DOC remove confusing mention to mean average precision
2014-07-17 11:25:21 +02:00
32c2692058
Typo
2014-07-17 11:21:28 +02:00
c3542bade9
DOC friendlier narrative documentation
2014-07-17 11:14:54 +02:00
9d8d7748bc
DOC FIX error + wording
2014-07-17 11:09:46 +02:00
35c90186ce
DOC write narrative doc for label ranking average precision
2014-07-17 11:09:46 +02:00
5b247f90e4
move around examples for better structure.
2014-07-17 09:35:30 +02:00
4e438a9aac
[DOC] minor fixes
2014-07-16 10:27:31 +02:00
2eb1e98eef
MAINT ensure that examples figures are displayed in the correct order
2014-07-14 15:47:17 +02:00
c176ced74d
DOC double backticks for fixed-width (code) font
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Fixes #3337 . Also other minor fixes while I was at it.
2014-07-06 14:18:33 +02:00
5fa2f9cecf
DOC: copyedit log loss, hint how multiclass generalizes binary
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Changed notation to use y for true label, p for prediction,
to be more consistent with the rest of the docs.
2014-06-15 16:05:35 +02:00
2f07590dca
DOC Correct definition of multiclass log loss
2014-06-15 16:05:35 +02:00
fc0150d08d
DOC/FIX Address @arjoly's comments
2014-06-05 11:20:36 +02:00
18c399e20a
MAINT deprecate sequences of sequences support
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* add warnings
* provide alternative binarizer, sklearn.preprocessing.MultiLabelBinarizer
* fix documentation
2014-06-05 11:20:35 +02:00
3755d5c392
Edited the documentation-unordered list
2014-03-10 18:15:40 +05:30
815af68465
Done refactoring and necessary changes for multiouput constant strategy. Added tests and updated the documentation.
2014-03-10 18:15:39 +05:30
66e2fa4945
Updated document to reflect changes in the DummyRegressor
2014-03-10 18:15:39 +05:30
45f61ae8fe
Fix doctest.
2014-01-15 16:19:38 +09:00
8c2c1c5733
typo
2013-12-02 11:33:25 +01:00
49186bb327
DOC explain why roc auc score is useful in multilabel classification
2013-12-02 11:33:24 +01:00
3c4dc02df5
DOC wording and typo
2013-12-02 11:33:24 +01:00
41ecb9b38b
DOC typo
2013-12-02 11:33:24 +01:00
fbb62f4554
DOC extend roc example
2013-12-02 11:32:41 +01:00
87b2785d65
FIX doctests
2013-12-02 11:32:41 +01:00
Andreas Mueller