1c5d6d75c4
Merge pull request #5274 from MechCoder/liblinear_samples_weights
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[MRG+1] Patch liblinear for sample_weights in LogisticRegression(and CV)
2015-10-23 10:23:34 +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
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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
8ff339eb5b
Update test_utils.py
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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
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`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
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
4eee24a60f
Merge pull request #5517 from lesteve/replace-base-class-method-calls-by-super
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[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
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[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
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[MRG+1] fix logistic regression class weights
2015-10-22 12:44:37 +02:00
861ac13713
Merge pull request #5519 from ishank08/imp_transform
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(Issue #5514 ) check_array performed twice fixed
2015-10-22 09:36:47 +02:00
744d161d37
Merge pull request #5431 from hlin117/nan-targets
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[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
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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
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
7d4755e317
Add a decision_path function to forest estimator
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
317281bf22
take glouppe comment
2015-10-21 17:05:55 +02:00
f6d605ff96
Implement decision path in tree
2015-10-21 17:05:55 +02:00
b6a5ed2aab
Merge pull request #5465 from massil94/dev-massil
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[MRG+1] partly fixed issue #3450 for hamming loss
2015-10-21 16:46:26 +02:00
ebf8d3ae2d
Merge pull request #5456 from aabadie/remove_deprecation_metrics
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[MRG+1] removing deprecated files in metrics
2015-10-21 16:43:53 +02:00
7c69c55266
Merge pull request #5457 from aabadie/remove_deprecation_metrics_second_pass
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[MRG+2] Use uniform_average as default multioutput parameter of r2_score function
2015-10-21 16:27:46 +02:00
65aee0c46f
Merge pull request #5469 from rvraghav93/zero_gamma
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[MRG + 1] Remove deprecated stuff from SVM
2015-10-21 15:28:29 +02:00
3697d755c4
MAINT/TST: public export of non_negative_factorization
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Changed imports in test to separate testing of API and of internals.
See gh-5509.
2015-10-21 14:55:06 +02:00
ee0fd9aa96
Merge pull request #5446 from deepcharles/charles1
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Empty `residues_` in `LinearRegression`: docstring updated
2015-10-21 14:11:26 +02:00
8e0f337221
removing sklearn/metrics/metrics.py
2015-10-21 13:15:51 +02:00
1eb9bed151
COSMIT nicer output from NMF with verbose > 0
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Used to print "('violation:', 1.0)". Now "violation: 1.0".
2015-10-21 13:14:56 +02:00
888a1848ca
Updating deprecation message in metrics.py:
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confirm deprecation starting from 0.16 and removal after 0.18
2015-10-21 13:13:56 +02:00
08b7253922
Update deprecation message in metrics/regression.py (use uniform_average as default multioutput parameter of r2_score function after 0.19)
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adding deprecation message
fixing deprecation message
2015-10-21 13:09:31 +02:00
0cb93b0996
Merge pull request #5141 from giorgiop/power-iter-randomized-svd
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[MRG + 2] ENH: optimizing power iterations phase for randomized_svd
2015-10-21 13:01:45 +02:00
718a7df4c5
Merge pull request #5449 from Jeffrey04/5433-MaxAbsScaler-1-row-csr-fix
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[MRG + 1] max abs scaler 1 row csr fix
2015-10-21 11:42:27 +02:00
b18f2951e4
randomized_svd: power iter, normalization, benchmark
2015-10-21 11:21:40 +02:00
bad3dd6b93
Merge pull request #5451 from zermelozf/deprecated-stuff
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[MRG + 1] Removed deprecated stuff in 0.18
2015-10-21 11:19:12 +02:00
4bcfedb813
FIX: GaussianProcess will be deprecated in 0.20, not 0.19
2015-10-21 10:59:03 +02:00
95d4e23e0b
Merge pull request #5436 from Mbompr/plot-roc-example-4976
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[MRG+1] The code was raising an exception while plotting 2nd curve
2015-10-21 10:42:08 +02:00
62633f701b
Addressed comments on PR #5451
2015-10-21 10:24:23 +02:00
5db2adf93c
MAINT Removed deprecated stuff.
2015-10-21 10:24:23 +02:00
f634bc2da0
Merge pull request #5438 from aabadie/datasets_doc
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[MRG + 1] : documentation, referencing datasets documentation in toc
2015-10-21 08:14:22 +02:00
Alexandre Gramfort