f12a441655
raise noise in test again, be ascii
2015-02-24 16:26:24 -05:00
95f1d9562b
FIX DOC TST: alpha is an uppper bound on FDR
2015-02-24 16:26:24 -05:00
700babc43f
extensive (excessive?) testing of FDR
2015-02-24 16:26:24 -05:00
1add39ff11
[Feature Selection] Fix SelectFDR thresholding bug ( #2771 )
...
From https://github.com/scikit-learn/scikit-learn/issues/2771 , we were
not correctly scaling the alpha
parameter (http://en.wikipedia.org/wiki/False_discovery_rate#Benjamini.E2.80.93Hochberg_procedure )
with the number of features (== hypothesis). Thus, the alpha
parameter was not invariant wrt the number of features.
The correction is as suggested in the original issue, and a test has
been added that verifies that for various numbers of features, an
appropriate false discovery rate is generated when using the selector.
2015-02-24 16:25:58 -05:00
2ce9eac717
TST more strict selectors with empty support
2015-02-07 11:37:06 +01:00
bc5b403af3
FIX #4059 : explicit warning for strict selectors
2015-02-06 12:06:34 +01:00
0bd095f9d6
FIX: Raise warnings in f_classif a given feature is constant throughout
2014-10-08 19:32:47 +02:00
e01749068c
MAINT fix prng in test_f_oneway_ints
...
Not fixing the PRNG cause the test to fail randomly under windows
where the 4 decimals place check can be too strict for some unlucky
random draws of test data.
2014-07-29 08:54:47 +02:00
f3afd4e5e2
FIX unstable test on 32 bit windows
2014-07-23 19:11:53 +02:00
6e2a83b4e1
remove check_arrays stuff and old input validation
2014-07-20 13:31:45 +02:00
db4230a776
TST improve parameter checking + use nose assert_ functions
2014-05-08 20:56:21 +02:00
e58405d6f6
MAINT remove redundant class hierarchy + fix api perform parameter check in fit
2014-05-08 20:56:21 +02:00
f1e2e1c874
Fixed SelectKBest corner case: k=0
...
Without this fix k = 0 will have the same behavior as k = 'all' based on how
the array indexing was written.
I've included a test that demonstrates proper behaviour.
2014-03-27 15:18:50 -04:00
4c129e57c1
f_regression and degress of freedom: update whats_new + minor.
2014-02-07 19:28:46 +01:00
4d18fd8837
BF in f_regression: variable naming + use assert_*array*_almost_equal.
2014-02-07 19:28:06 +01:00
8e0b4be57e
BF: Correct degrees of freedom in f_regression + test.
2014-02-07 19:28:05 +01:00
921deade51
Changed assert_array_equal() in Line 45 and 46 to assert_array_almost_equal(,,decimal=5). This has fixed the AssertionError, which occurs during the installation test.
2014-01-12 21:03:11 +08:00
44270ddc83
fix f_oneway with ints
2013-12-16 22:02:05 +01:00
e1bdd99ea6
ENH: add assert_warn_message
2013-11-29 13:55:39 +01:00
b46ea718af
FIX remove warnings from univariate FS
...
These warnings are issued practically always when using
frequency-valued or boolean data.
Switched to a stable sort to get reproducible results.
2013-08-19 14:56:37 +02:00
2b57e4e52e
Merge pull request #1935 from jnothman/base_filter_inv_transform
...
Small improvements to inverse_transform used in feature_selection.
2013-05-07 05:26:58 -07:00
35b4045ff9
FIXTST fix errors introduced to feature selection tests
2013-05-07 16:00:05 +10:00
4fd975ce80
ENH sparse _BaseFilter.inverse_transform
2013-05-07 16:00:05 +10:00
313193fb0f
ENH _BaseFilter.inverse_transform should respect dtype
2013-05-07 16:00:04 +10:00
40cf5c90ee
TST ensure SelectKBest and SelectPercentile scores are best
2013-05-07 12:16:09 +10:00
b80f6a80b0
ENH allow SelectKBest to select all features in a parameter search
2013-03-13 12:28:49 +01:00
754c2d9533
COSMIT pep8
2012-12-22 16:48:17 +01:00
d70088c43d
FIX small bug in feature selection error message.
2012-10-31 15:36:03 +00:00
b77804dcb4
BUG NaN handling in SelectPercentile and SelectKBest
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Including non-regression test.
2012-10-16 12:53:27 +02:00
19a1a41379
ENH perform feature selection on scores, not p-values, when possible
...
More stable in the case of chi2; allows for feature selectors that do not
perform significance tests.
2012-10-04 12:13:50 +02:00
2e48248531
COSMIT + DOC univariate feature selection
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rm deprecated properties
input validation in SelectPercentile
use super()
docstring fixes
2012-09-18 14:38:52 +02:00
66c8a706d2
ENH fix percentile tiebreaking, add warning
2012-09-17 21:40:58 +01:00
fc3cdc7472
TST Simplified tests, test that sparse and dense versions give the same result, always return arrays, not matrices.
2012-08-16 17:51:00 +01:00
c520275f06
ENH sparse matrix support in univariate feature selection
2012-08-16 17:50:59 +01:00
1ebcc4a486
COSMIT pep8
2012-05-15 21:18:30 +02:00
065b905aed
BUG: casting error with recent numpys
2012-05-12 00:02:30 +02:00
eeb6dcc4cc
ENH use random states everywhere, never call np.random.
2012-05-06 18:35:14 +02:00
258f19383c
BUG ensure that SelectKBest actually selects k features
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Fixes Issue #805
2012-04-30 17:25:13 +02:00
b17a82023c
ENH export f_oneway from feature_selection module
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+ import in test as a user would
2012-04-30 17:10:55 +02:00
eb9ad47594
ENH : speed up f_regression
2012-03-29 15:21:08 +02:00
239039c84c
tst: added test for feature selection. this test would have failed in the previous case. closes #727
2012-03-26 09:59:07 -04:00
ad8e4912cb
TST: use assert_true instead of assert + remove some relative imports
2012-02-11 15:43:03 +01:00
b0d10fc9c2
COSMIT: more pep8. enough for today...
2011-11-29 00:03:19 +01:00
78dd8b5626
batch trailing spaces cleanup
2011-09-06 23:12:26 +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"
...
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
Andreas Mueller