ac4cc3c64e
DOC make min_max_axis pass numpydoc ( #22839 )
...
Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com>
2022-03-22 02:07:51 +01:00
3ae7c76153
STY Enables black with experimental_string_processing=true ( #20412 )
2021-06-29 09:47:04 +02:00
82df48934e
MNT Applies black formatting to most of the code base ( #18948 )
2021-06-17 14:21:09 -04:00
f6e6ad2d9e
MNT clean futurewarning for 1.0 | _deprecate_positional_args ( #20002 )
...
Co-authored-by: Olivier Grisel <olivier.grisel@ensta.org>
Co-authored-by: Thomas J. Fan <thomasjpfan@gmail.com>
2021-05-14 11:30:27 -04:00
8e9ced237b
DOC Fix doc of defaults in sklearn.utils.sparsefuncs.py ( #18025 )
...
Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com>
2020-12-15 10:37:12 +01:00
5263eea04d
ENH add support for sample_weights in StandardScaler when X is sparse ( #18682 )
2020-10-28 09:34:17 +01:00
f1111be2fa
incremental mean and var for weighted sparse X ( #18569 )
...
Co-authored-by: Alexandre Gramfort <alexandre.gramfort@m4x.org>
Co-authored-by: Olivier Grisel <olivier.grisel@ensta.org>
2020-10-23 22:16:27 +02:00
20b27858b9
FIX raise proper error in incr_mean_variance_axis with axis=1 and mismatch shape input arrays ( #18655 )
2020-10-21 14:11:39 +02:00
1aded54711
DOC Fix docs for default values in sklearn.utils.sparsefuncs ( #18400 )
2020-09-17 13:08:24 -04:00
e770715c43
MNT Completes position arg deprecation ( #17272 )
...
* ENH Adds public functions with position args warning
* BUG Circlar import
* STY
* BUG Add keywords
* BUG Fixes warnings
* ENH Adds other public functions
* CLN Suggestion
* CLN Suggestion
* REV Revert pairwise
* ENH Positoinal args for compute_class_weight
2020-05-19 09:07:25 +02:00
0eebade264
DOC docstring (shape= -> of shape) ( #14640 )
2019-10-02 20:54:32 -04:00
dc5e4d8896
FIX downcast large matrix indices where possible in sparsefuncs._minor_reduce ( fix #13737 ) ( #13741 )
2019-05-23 22:55:09 +10:00
98357ec4d4
FIX (0.21) make count_nonzero dtype invariant wrt axis ( #12341 )
2018-10-14 21:12:02 +08:00
5718466bb5
[MRG] ENH: Ignore NaNs in StandardScaler and scale ( #11206 )
2018-06-21 15:48:38 +02:00
b9f3758dfd
MAINT add function to ignore nan in min/max sparse functions ( #11196 )
2018-06-07 06:57:30 +10:00
58c043e54b
DOC Fix typo in sparsfuncs.py and sparsfuncs_fast.pyx ( #10865 )
2018-03-25 09:52:03 +11:00
ac41281451
[MRG+1] Fix alerts found with lgtm ( #9278 )
...
* compare values rather than references
* add __ne__ to class
* add missing self parameter
* properly initialise child class using super()
* remove useless loop variables and assigments
* remove useless return statements
* respect PEP8 style
* fix another flake8 check
2017-07-05 17:22:21 +10:00
6579220588
[MRG+1] Drop NumPy < 1.8 ( #8874 )
2017-06-07 17:06:06 +02:00
8570622a44
[MRG+1] DOC insert spaces before colons in parameter lists ( #7920 )
...
* DOC insert spaces before colons in parameter lists
Complies with numpydoc to improve rendering and automatic quality
assurance such as #7793 . Affects listings of Parameters Attributes,
Returns.
Performed with the help of:
grep -nE '^( )+[a-zA-Z][a-zA-Z0-9_]*: ' sklearn -R | grep -v -e
externals -e tests | grep -v -e default: -e else: -e Warning: -e Note:
-e TRAIN: -e Default: -e True: -e False: -e DOI: -e In: | gsed
's|\([^:]*\):\([0-9]*\):\([^:]*\):\(.*\)|--- a/\1\n+++ b/\1\n@@ -\2,1
+\2,1 @@\n-\3:\4\n+\3 :\4|' | git apply --unidiff-zero -
* DOC fix numpydoc format for param
2016-11-25 10:59:22 +01:00
6a5a2f7960
partial_fit for scalers
2015-10-13 11:37:00 +02:00
67dcd99d82
TST fix tests with numpy 1.6.1
...
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
...
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
2daa0289ef
Renamed csc_row_median to csc_median_axis_0
2014-10-21 09:21:30 +02:00
3e7b816a0d
DOC: Explain why the centroid of the manhattan metric is the median
2014-10-21 09:21:30 +02:00
9622e858b3
MAINT: Move _get_median into sparsefuncs to avoid circular imports
2014-10-21 09:21:30 +02:00
91450c6960
FIX: Wrap csc_row_median around the _get_median imputer function
2014-10-21 09:21:30 +02:00
6f41bd1c88
ENH: Patches Nearest Centroid for metric=manhattan for sparse and dense data
2014-10-21 09:21:30 +02:00
52adb5cae7
ENH Add 'axis' argument to sparsefuncs.mean_variance_axis
2014-09-03 13:47:48 +02:00
0e31553de5
ENH Sparse multilabel target support
...
All multilabel metric calculation is now performed efficiently over
sparse CSR matrices.
2014-07-30 22:13:11 +10:00
325e998fcc
Extend utils.sparsefuncs: inplace scale and axis min/max
2014-05-18 20:03:37 +10:00
5d47cfcbcb
Improved formatting of unsupported sparse matrices in swapping
2014-05-10 11:37:53 +05:30
fc634f95f2
Made the following changes
...
1. Minor changes to docs
2. Replaced swap with inplace_swap
2014-04-30 23:27:26 +05:30
31d438eb3d
COSMIT: Replaced ptr1/2 with start/stop
2014-04-26 23:38:58 +05:30
924db9b07e
Made the following changes
...
a] Replaced numpy slicing with concatanate
b] Added swap_sparse_column
2014-04-24 20:58:11 +05:30
5119d68982
ENH: Swap rows in sparsefuncs
2014-04-24 17:19:09 +05:30
32c843b4b9
COSMIT: pep8, trailing spaces
2014-03-29 17:59:35 +01:00
bbb8f1d1bf
Moved sparsefuncs to sparsefuncs_fast
2014-03-27 13:20:45 +05:30
cdrig