e8a2e2705a
Test edit.
2015-10-23 11:42:53 +02:00
8aa9c199d9
Merge pull request #5467 from tomMoral/travis-ci
...
[MRG+1] (Issue #5455 ) Improved .travis.yml
2015-10-23 10:58:26 +02:00
38c78ea244
Merge pull request #5537 from johannah/module-linear-colorblind
...
[MRG+2] Added colorblind compatibility for plot examples in linear_models
2015-10-23 10:27:01 +02:00
c9700e2181
Changed from plot to scatter for consistency
2015-10-23 10:26:02 +02:00
b102d90926
MISC : Y->y
2015-10-23 10:24:46 +02:00
1c5d6d75c4
Merge pull request #5274 from MechCoder/liblinear_samples_weights
...
[MRG+1] Patch liblinear for sample_weights in LogisticRegression(and CV)
2015-10-23 10:23:34 +02:00
0ff1fe5782
Merge pull request #5541 from johannah/module-classification-colorblind
...
[MRG] Added colorblind compatibility for plot examples in classification
2015-10-23 10:20:42 +02:00
d4532e2934
Merge pull request #5544 from Mbompr/check-PR-5417
...
Typo in LDA
2015-10-23 09:53:25 +02:00
31ab442d69
fixed typo in LDA
2015-10-23 09:36:40 +02:00
dbb418b14e
Typo on doc for default value of solver for lda.LDA
...
Fix a style issue on the documentation for the default value of the `solver` parameter for lda.LDA.
[sklearn.lda.LDA.html](http://scikit-learn.org/stable/modules/generated/sklearn.lda.LDA.html#sklearn.lda.LDA ) displayed badly (cf screenshot).
2015-10-23 09:36:40 +02:00
2492dd0e58
Merge pull request #5012 from yanlend/patch-2
...
[MRG+1] Initialize ARPACK eigsh
2015-10-23 09:26:42 +02:00
1863895599
Merge pull request #5506 from RachitKansal/my-work
...
Tweaking the legend of GP plot in plot_compare_gpr_krr.py
2015-10-23 09:21:41 +02:00
8ff339eb5b
Update test_utils.py
...
Comment instead of docstring to follow sklearn convention.
Regression test made easier by adding small value to main diagonal of s.p.d. matrix
2015-10-23 08:57:31 +02:00
9f8e062571
fix docs and doctests for KernelPCA
2015-10-23 08:57:30 +02:00
6cb51b2a28
Initialize ARPACK eigsh
...
`v0 = random_state.rand(M.shape[0])` leads to an initial residual vector in ARPACK which is all positive. However, this is not the absolute or squared residual, but a true difference. Thus, it is better to initialize with `v0=random_state.uniform(-1, 1, M.shape[0])` to have an equally distributed sign. This is the way that ARPACK initializes the residuals.
The effect of the previous initialization is that eigsh frequently does not converge to the correct eigenvalues, e.g. negative eigenvalues for s.p.d. matrix, which leads to an incorrect null-space.
- initialized all occurences of sklearn.utils.arpack.eigsh the same way it would be initialzed by ARPACK
- regression test to test behavior of new initialization
2015-10-23 08:57:30 +02:00
8b990c3f34
Merge pull request #5543 from ltiao/patch-1
...
Fixed typo..
2015-10-23 07:14:01 +02:00
9d8d7e426c
Replace GETC to SAMPLE_WEIGHT
2015-10-23 00:07:02 -04:00
41cbfded7c
Add check for sample_weights
2015-10-23 00:06:07 -04:00
80e22b3ddf
Patch liblinear for sample_weights in LogisticRegression(and CV)
2015-10-23 00:00:31 -04:00
4f7e5fffb7
Fixed typo..
2015-10-23 11:45:35 +11:00
efe8399d86
update whats_new for #5008
2015-10-22 19:01:49 +02:00
47a8ffa618
Added colorblind compatibility
2015-10-22 18:59:24 +02:00
824115a4e5
Added colorblind compatibility to classification
2015-10-22 18:32:23 +02:00
4eee24a60f
Merge pull request #5517 from lesteve/replace-base-class-method-calls-by-super
...
[MRG] Use super rather than calls to base class methods
2015-10-22 18:30:25 +02:00
a6c2a17bed
undo change by @arthurmensch that was probably accidental ;)
2015-10-22 17:54:23 +02:00
f63ba1d963
MAINT use super rather than calls to base class methods
2015-10-22 15:00:43 +02:00
1c7168d398
Fix fit_transform, stability issue and scale issue in PLS
2015-10-22 14:25:59 +02:00
5a58e56826
Merge pull request #5487 from arjoly/example-node
...
[MRG+1] Add an example and a method to analyse the decision tree stucture
2015-10-22 13:31:49 +02:00
5d3bb933e0
Merge pull request #5008 from TomDLT/logistic_multiclass
...
[MRG+1] fix logistic regression class weights
2015-10-22 12:44:37 +02:00
3fbd3b9ade
Take into account ngoix comment
2015-10-22 09:51:14 +02:00
861ac13713
Merge pull request #5519 from ishank08/imp_transform
...
(Issue #5514 ) check_array performed twice fixed
2015-10-22 09:36:47 +02:00
744d161d37
Merge pull request #5431 from hlin117/nan-targets
...
[MRG + 2] Add check to regression models to raise error when targets are NaN
2015-10-22 09:36:12 +02:00
7fe71c18ab
as_float_array removed
2015-10-22 01:07:24 +05:30
f725485427
#5322 : Small change to estimator_check.py
2015-10-21 11:59:21 -05:00
1f48814799
#5322 : Using multioutput_estimator_convert_y_2d in check_supervised_y_no_nan
2015-10-21 11:54:12 -05:00
3c988d5d1c
Merge pull request #5512 from giorgiop/randomized-svd-versionadded
...
DOC versionadded randomized_svd
2015-10-21 18:45:24 +02:00
f45f260ff7
DOC versionadded randomized_svd
2015-10-21 18:28:37 +02:00
290e0ea6f2
#5322 : Changed check_supervised_y_no_nan to not seed global
2015-10-21 11:26:20 -05:00
7ad90f5a33
Rename since we don't plot anything
2015-10-21 18:08:57 +02:00
d439dc4d9e
FIX class_weight in LogisticRegression and LogisticRegressionCV
2015-10-21 17:41:39 +02:00
c45075123a
Added documentation about y nan handling in check_X_y
2015-10-21 11:11:08 -04:00
4d0ba3ca58
wording
2015-10-21 17:09:38 +02:00
ec8fbefcb9
Take into account amueller comments
2015-10-21 17:05:57 +02:00
c9888a6f8d
Take into account glouppe comments
2015-10-21 17:05:56 +02:00
7d4755e317
Add a decision_path function to forest estimator
2015-10-21 17:05:56 +02:00
405c71780f
typo
2015-10-21 17:05:56 +02:00
be21b6a5b0
Add an hardcoded test
2015-10-21 17:05:56 +02:00
bc02bd5243
ENH rename decision_paths to decision_path
2015-10-21 17:05:56 +02:00
4d9a955933
DOC make visualizatoin aware of the tree depth
2015-10-21 17:05:55 +02:00
317281bf22
take glouppe comment
2015-10-21 17:05:55 +02:00
John Boersma