Lars Buitinck
943439d4b0
rename MultinomialNB params, rename GNB GaussianNB
2011-05-23 16:21:44 +02:00
Nelle Varoquaux
cebecf8335
[MiniBatchKMeans] Added labels and scaled the axis properly on the benchmark plot
2011-05-17 20:46:55 +01:00
Nelle Varoquaux
a56ca0b2ad
[MiniBatchKMeans] PEP8 compliance and small fixed
2011-05-08 14:14:51 +01:00
Nelle Varoquaux
92257fdab7
Merge branch 'master' into batchKMeans
2011-05-07 17:27:11 +01:00
Nelle Varoquaux
5bb104f59f
[MiniBatchKMeans] Added a fit method to the MiniBatchKMeans
2011-05-07 17:21:50 +01:00
Peter Prettenhofer
569e80402f
cosmit: beautified plotting.
2011-05-04 20:31:45 +02:00
Nelle Varoquaux
52c4cef783
merge with master
2011-05-04 19:05:57 +01:00
Nelle Varoquaux
632b97b1ea
[MiniBatchKMeans] Added chart showing the speed and the inertia / total number of points depending on the chunk size and number of iteration
2011-05-04 18:41:01 +01:00
Peter Prettenhofer
1f0424b73f
pep8 compliance
2011-05-04 17:33:20 +02:00
Peter Prettenhofer
db8fb49395
Fixed doc-tests and added doc strings for SGD learning rates.
2011-05-04 17:20:53 +02:00
Olivier Grisel
c5d20baf28
FIX: broken import in bench_plot_nmf
2011-05-02 10:25:09 +02:00
Nelle Varoquaux
f890a41958
[MiniBatchKMeans] Added a benchmark
2011-05-01 19:24:50 +01:00
vene
2c982c928d
Missed one reference
2011-04-04 17:00:53 +03:00
Olivier Grisel
1b3d50500e
Merge branch 'nmf-lite' of https://github.com/vene/scikit-learn into vene-nmf-lite
2011-04-02 16:39:20 +02:00
vene
d98a159a01
Added disclaimer in nndsvdar docstring
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Decreased tolerance in benchmark
2011-04-02 17:24:27 +03:00
Olivier Grisel
4b6195bd48
Merge branch 'nmf-lite' of https://github.com/vene/scikit-learn into vene-nmf-lite
2011-04-02 15:13:19 +02:00
vene
2f12774709
Documentation. Discussed fixes. Set default to ar.
2011-04-02 01:36:48 +03:00
vene
79a8b97a75
Fix benchmarks printing of error for alt-nmf
2011-04-02 00:39:32 +03:00
vene
afd1d555d7
Merged
2011-04-02 00:38:10 +03:00
vene
d5919d8b81
Fixed NMF benchmark colors
2011-04-02 00:04:10 +03:00
vene
14823e37cd
Fixed benchmark, removed unused import.
2011-04-01 23:45:37 +03:00
vene
1a95f212b6
Benchmarks and more pep8
2011-04-01 23:34:35 +03:00
vene
ec08e4cbcb
Removed comments.
2011-04-01 22:48:03 +03:00
vene
26d809d953
Abbreviation expansion in benchmark
2011-04-01 22:06:19 +03:00
vene
2b5d9bafdf
pep8 fixes
2011-04-01 22:04:15 +03:00
vene
54283ad775
Applied suggestions; updated bench and example
2011-04-01 21:16:42 +03:00
Alexandre Gramfort
bacbe9611d
Merge branch 'hcluster2'
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Conflicts:
scikits/learn/datasets/samples_generator.py
scikits/learn/grid_search.py
2011-04-01 12:27:16 -04:00
vene
491ba872de
Merge branch 'master' into nmf-nnls
2011-03-26 17:16:17 +02:00
Peter Prettenhofer
618a1b52e7
refactored SGD module (removed code duplication, better variable naming).
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added interface for sample weight.
added seed to interface of sparse SGD classifier and regressor.
2011-03-15 16:29:49 +01:00
vene
170af3f749
Merge branch 'master' into nmf
2011-03-02 11:51:00 +02:00
Alexandre Gramfort
8c6ece869b
fix remaining n_comp
2011-02-24 16:59:49 -05:00
GaelVaroquaux
b8e70e753a
ENH: Hierarchial: don't compute moments twice
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Compute only the upper triangular part of the moment matrix pair.
2011-02-23 17:17:39 +01:00
Alexandre Gramfort
c5aa155621
Merge branch 'hcluster' into hcluster2 that matches master
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- pipeline and GridSearchCV have been cleaned
- feat agglo inherits from TransformerMixin
- s / n_comp / n_components in hierarchical.py
Conflicts:
scikits/learn/feature_selection/univariate_selection.py
scikits/learn/pipeline.py
scikits/learn/tests/test_pipeline.py
2011-02-21 21:28:34 -05:00
Gael varoquaux
bfb819eb58
ENH: Add a benchmark for ward
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Comparing the scikits and scipy
2011-02-02 11:36:10 +01:00
Gael varoquaux
bd3a29b2f8
MISC: Make sure that nosetests doesn't try to run the bench
2011-02-01 00:11:13 +01:00
vene
40ac544151
Added benchmark.
2010-12-14 01:32:49 +02:00
Alexandre Gramfort
45beef41c5
revert previous commit regarding mpl_toolkits.mplot3d in bench
2010-12-11 22:20:32 -05:00
Alexandre Gramfort
d0a1d6cacf
Merge branch 'master' of github.com:scikit-learn/scikit-learn
2010-12-11 22:07:34 -05:00
Alexandre Gramfort
57da10f228
giving more love to benchmarks (pep8, pyflakes, var names, etc...)
2010-12-11 22:07:20 -05:00
Olivier Grisel
9514c289d9
new benchmark for lasso path implementations
2010-12-12 03:42:48 +01:00
Alexandre Gramfort
7b94a59a59
pep8 + N->n_samples and D->n_features
2010-12-11 19:13:58 -05:00
Olivier Grisel
90ac3a0965
factorized out correlated regression dataset utility function and updated
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benchmarks
2010-12-11 23:16:02 +01:00
Olivier Grisel
6074856cce
SVD benchmark have a consistent filename
2010-12-11 17:58:28 +01:00
Olivier Grisel
0992637535
updated lasso benchmark to showcase the region where LassoLARS is faster than Lasso CD
2010-12-08 16:19:04 +01:00
Alexandre Gramfort
29d1f2bd1b
ENH : allowing Gram matrix precomputing in Lasso / ElasticNet to
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speed up fitting when n_samples >> n_features. precompute='auto'
is used to do what's best depending on the dimension of the pb
like in LassoLARS
2010-12-07 18:30:26 -05:00
Olivier Grisel
ac42e38fa7
simpler SVD benchmark: use the sample_generator utility and fixed effective rank
2010-12-05 20:21:08 +01:00
Peter Prettenhofer
46a2d551a3
fixed imports in non-auto examples.
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COSMIT import paths in plot examples.
Rephrased SGD outline in linear_model.rst
2010-12-03 10:28:08 +01:00
Peter Prettenhofer
d102d2228d
moved sgd examples to examples/linear_model and added sgd prefix.
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minor fixes in some examples.
updated sgd.rst
2010-12-01 16:59:52 +01:00
Olivier Grisel
327be9e11d
remove useless import
2010-11-28 17:24:41 +01:00
Olivier Grisel
fc5da45c9e
new benchmark: comparing SVD implementations
2010-11-28 16:27:47 +01:00