679936f6bc
MAINT Deprecate LDA/QDA in favor of expanded names
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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
0650d5502e
DOC adding backlinks to docstrings
2015-06-03 00:24:04 -04:00
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
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
abd31d2cad
MAINT Make uniform the error raised for not fitted condition
2015-01-12 00:33:40 +05:30
94b2e9471c
ignore warnings, change docstring
2014-12-27 19:14:32 +01:00
17ea0db99e
warning -> error
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though we can check if reg_param > 0 and then use spherical covariance,
let's keep things simple
2014-12-27 19:12:23 +01:00
a72da02ffc
warning + log of prod -> sum of log
2014-12-27 19:12:23 +01:00
1c2871189b
Fix a bug occurring when n_samples in a class < n_features
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Fix case n_sample in a class == 1
2014-12-27 19:12:23 +01:00
b3bdb08964
DOC fix formatting of attributes etc. in docstrings
2014-07-28 19:04:59 +10:00
6e2a83b4e1
remove check_arrays stuff and old input validation
2014-07-20 13:31:45 +02:00
b97fb3c5fc
MAINT drop support for NumPy < 1.6.1
2014-03-02 20:13:57 +01:00
a82b31547d
MAINT remove deprecated parameters (the easy cases)
2013-08-08 10:00:22 +02:00
716fbb062c
much better input validation, test that warning is raised on (n_samples, 1) y
2013-07-28 16:08:16 +02:00
e488704849
COSMIT pep8
2013-07-23 15:17:32 +02:00
d147ad5638
Update qda.py
2013-07-09 14:45:54 -07:00
445db733ff
Update qda.py
2013-07-09 14:30:26 -07:00
9abb39f885
reg_param is a float
2013-07-09 14:10:38 -07:00
49de26ae35
Updating to ensure pep8 compliaance
2013-07-09 13:58:34 -07:00
a2f2d6dd97
Missed a space!
2013-07-09 10:42:31 -07:00
c6dfe7e963
Update qda.py
2013-07-09 10:34:09 -07:00
43fda2294c
Update qda.py
2013-07-09 10:32:33 -07:00
90f3f580e2
Adding covariance regularization to QDA
2013-07-09 08:29:38 -07:00
dacfd8bd5d
DOC: Replaced all BSD style licenses with "BSD 3 clause"
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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
541987802f
P3K range vs. xrange
2013-02-14 02:05:35 +01:00
69d1650613
COSMIT rm deprecated attrs from [LQ]DA
2013-01-22 02:22:40 +01:00
9bbca58343
DOC cosmit fix column span alignment errors.
2013-01-19 15:45:27 +01:00
1574e6d902
ENH document attributes in QDA and LDA, rename to adhere to sklearn conventions.
2013-01-05 14:54:31 +01:00
af101ccd10
ENH check in all classifiers in fit and predict that input is finite. inspired by #1027 .
2012-11-10 15:53:57 +00:00
e4355fb251
Don't cover this deprecated method
2012-11-02 16:18:26 +01:00
006e7ef801
Add __all__ for the second half of the scikit
2012-09-04 18:00:49 +01:00
9e7c03f71a
Add or fix deprecation schedule in warnings.
2012-09-01 20:02:14 +02:00
f540875964
ENH addressed @agramfort's comment, also removed the special case from testing as @mblondel fixed it :)
2012-09-01 12:23:09 +02:00
20192603d6
ENH make QDA and LDA decision functions adhere to standard shape [n_samples,] in two class case.
2012-09-01 12:23:09 +02:00
3a1aaf99fa
Merge branch 'qda_lda_1000' of github.com:amueller/scikit-learn into qda_lda_1000
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Conflicts:
sklearn/lda.py
sklearn/qda.py
2012-08-17 17:00:31 +01:00
755a5dd358
ENH going back to not using LabelEncoder.
2012-08-17 16:50:07 +01:00
9ecca834db
FIX Removed code-duplication introduced in rebase.
2012-08-14 15:06:35 +01:00
53c1126c80
ENH use LabelEncoder
2012-08-14 13:36:14 +01:00
0b7c93ce31
ENH slight cleanup in LDA, QDA, support for arbitrary class labels.
2012-08-14 13:33:43 +01:00
a12bd7bc7c
ENH: understandable error message for X sparse
2012-08-10 11:23:00 +01:00
8dae4c692d
ENH use LabelEncoder
2012-08-08 10:02:35 +01:00
6df5d76a13
ENH slight cleanup in LDA, QDA, support for arbitrary class labels.
2012-08-08 10:02:30 +01:00
68062a2462
P3K: Fixed print related Python3 errors
2012-05-11 11:21:01 +02:00
70347ccfd4
DOC Added QDA to references, narrative docs, improved docstrings
2012-03-04 17:22:46 +01:00
ada1520a86
DOC Basic docstrings for LDA and QDA classes
2012-03-04 17:22:46 +01:00
3bde2bf97b
ENH accept matrix input throughout
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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
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"
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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
Vinayak Mehta