46fc1be145
Remove redundant words in sklearn
2016-02-23 16:54:03 +08:00
88b96a762d
Merge pull request #5675 from AlexanderFabisch/gmm_clustering
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[MRG+1] Make clear that GMM is a clustering algorithm
2016-02-11 10:49:46 +01:00
0485ada58b
General spelling fixes
2015-12-16 09:46:42 -08:00
f2e35411fa
Added more versions of 0.17
2015-11-04 00:02:52 +01:00
d3a8f85c55
Added more documentation of version adds
2015-11-03 23:57:19 +01:00
52b445c9fb
Unify documentation in GMM module
2015-11-02 18:38:47 +01:00
9717a81f1b
Make clear that GMM is a clustering algorithm
2015-11-02 11:51:13 +01:00
5db2adf93c
MAINT Removed deprecated stuff.
2015-10-21 10:24:23 +02:00
79fa25ade3
MAINT don't print things in testing.
2015-10-15 15:23:00 -04:00
f1c5924b36
ENH better error message for estimators with ensure_min_* checks
2015-10-01 14:44:05 +02:00
2f099334f9
MAINT deprecate 1d input arrays for all estimators
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Passing 1D arrays to check_array, without setting `ensure_2d` to false now
raises a deprecation warning before reshaping it. This will later throw an
error.
All Scaler classes also throw warnings when 1D arrays are passed.
All unit tests/doctests are modified to ensure that no 1D arrays are passed,
except in explicit 1D array tests where the warnings have been silenced.
Additional tests are also included which check for different 1D array cases.
2D array tests with one samples and one features are also added and where
they failed, `check_array` call has been modified to give a more useful error
message
2015-09-09 15:49:58 +02:00
0650d5502e
DOC adding backlinks to docstrings
2015-06-03 00:24:04 -04:00
05ad7459f3
STYLE cosmetic fixes in sklearn.mixture.gmm
2015-06-02 16:40:36 +02:00
a8626b36a6
TST/COSMIT remove nose call boilerplate
2015-05-28 14:54:01 -04:00
d2382e1be2
Cleaned the code. pep8, pyflakes and added comments.
2015-05-03 00:50:40 +02:00
43a46365cc
Removed the deprecation and added a test for a boolean flag value.
2015-05-02 20:28:18 +02:00
8f34306a05
Added tests for the adapted verbose flag of DPGMM.
2015-05-01 10:11:37 +02:00
0ae311049a
Adapted the verbose flag of DPGMM. Boolean flag is deprecated now.
2015-05-01 10:11:37 +02:00
0bb91dcfd7
Fixed pep8 and removed unused variable.
2015-05-01 10:11:37 +02:00
eb05c53d9f
Added tests for the verbose flag of GMM.
2015-05-01 10:11:37 +02:00
1b9f4b9a1f
Fixed pep8 warnings.
2015-05-01 10:09:29 +02:00
1a1a69c2f9
Fixed doctests.
2015-05-01 10:09:29 +02:00
dc34af7444
Fixed typos.
2015-05-01 10:09:29 +02:00
3b23d253f0
Added a verbose flag to the GMM class.
2015-05-01 09:57:48 +02:00
fc87eb33ff
Add a fit_predict method for the GMM classes
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With low iterations, the prediction might not be 100% accurate due to
the final maximization step in the EM algorithm.
2015-04-30 11:49:23 -07:00
9c57ee3b5c
Raise ValueError when log_multivariate_normal_density has non positive definite covariance
2015-03-24 20:15:22 -04:00
cd2ee7e454
MAINT docstring --> comments to prevent nose from using doc in verbose mode
2015-03-21 11:16:49 +05:30
46470b418a
Fix typo of DPGMM doc
2015-03-04 19:36:37 +08:00
3f5277e835
Merge pull request #4284 from hbredin/dgpmm_convergence
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[MRG + 1] Improve DPGMM/VBGMM convergence check
2015-02-25 09:46:04 +01:00
4a0e281510
DOC: make it clear 'thresh' should be removed in v0.18
2015-02-25 08:38:37 +01:00
2c3e5640d9
DOC cosmetics in test docstring
2015-02-24 23:35:24 +01:00
86392dbc6d
Put the error state change about underflow errors in a 'with' statement in '_covar_mstep_full'.
2015-02-24 23:35:24 +01:00
fa3ecbc96d
Converted docstring of 'test_positive_definite_covars' into a comment to avoid description ptoblems with nose (Related to issue #4250 )
2015-02-24 23:35:23 +01:00
db2eddaa02
Converted test_positive_definite_covars to a generator.
2015-02-24 23:35:23 +01:00
3e069d51ed
Clarified a comment and factorized the tests for all covariance types
2015-02-24 23:35:23 +01:00
e0536d93b5
Cosmetic changes in the doc string. Added an indentation level
2015-02-24 23:35:23 +01:00
739efd6e82
Added test to check that obtained covariance matrices are positive definite after learning a GMM
2015-02-24 23:35:23 +01:00
5c893e5280
Change the way the covariance is computed to avoid problem with not positively defined covariance matrices
2015-02-24 23:35:22 +01:00
0c00f1a1b5
ENH: better convergence check
2015-02-23 17:14:26 +01:00
8ef0b9a82f
fixes in GMM, TSNE, MDS, LSHForest, exclude SpectralEmbedding
2015-02-10 18:34:31 -05:00
e3e0827243
FIX check (and enforce) that estimators can accept different dtypes.
2015-02-10 15:37:15 -05:00
5c0c5c672c
MAINT use absolute imports in tests
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as per the guideline in:
http://scikit-learn.org/stable/developers/#coding-guidelines
2015-02-10 13:40:31 +01:00
a3283c6d6b
FIX tests in gmm broken by previous rebase
2015-02-08 23:50:02 +01:00
0f6f48a6f2
a few changes according to comments by @ogrisel
2015-02-08 23:00:54 +01:00
371c2f672a
FIX: fix doctest
2015-02-08 22:59:46 +01:00
bdecd1f447
ENH: issue #4178 (cont.)
2015-02-08 22:59:46 +01:00
79144e4444
ENH: improve GMM convergence check #4178
2015-02-08 22:59:45 +01:00
364fdd6496
minor fixes, addressing @agramfort's comments.
2015-02-03 17:30:08 +01:00
87c9ba7d26
Corrected two bugs related to 'tied' covariance_type in mixture.GMM(), added test, closes #4036
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The first bug was with the Gaussian log-density calculation for the 'tied' covariance_type.
Rather than fix this equation I reformatted the covars data structure so that it could be fed
into the 'full' covariance_type log-density calculation. It might be a tiny bit slower but I think
it is better to have the least amount of potentially redundant code as this should minimize
the potential for such errors.
The second bug I fixed was related to the _covar_mstep_tied() function, only the first part
of the equation should be divided by X.shape[0].
2015-02-03 17:29:26 +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
YenChenLin