d208c13644
COSMIT friendlier output from faster NMF benchmark
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Tolerance lowered to make it run in reasonable time; see #2537 .
2013-10-20 19:17:26 +02:00
2eddb1a29f
BUG fix whitespace in error messages
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Partial fix for #2380 .
Signed-off-by: Lars Buitinck <L.J.Buitinck@uva.nl>
2013-08-26 17:02:52 +02:00
60da310e1e
MAINT deprecated ENet param used in doc and benchmark
2013-08-08 09:52:59 +02:00
cb113b9aba
Benchmark: use specified dtype
2013-07-25 14:50:12 +02:00
6de5e41c8f
covertype benchmark: use C-style input as default (most models require it as input)
2013-07-24 12:11:28 +02:00
01081b5f61
Benchmark: use default values in forests
2013-07-22 12:20:00 +02:00
7344b8ef81
add GBRT to covertype benchmark
2013-07-22 12:19:57 +02:00
ca2142ebba
ENH lots of benchmarks fixes
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* add a title to all benchmark figures/windows
* "bench" is non-standard slang for benchmarking
* remove calls to pyplot.clf because the previous call
to pyplot.figure sets the current figure
* standardize on "Time (s)" as time axis label
* move some benchmark plot legends to the upper left corner of the plot:
most benchmarks expand from (0,0) up and to the right
* simplified plot titles and moved constant info from legend into title
* fixed typos
* made some labels more viewer-friendly
Fixes #2023 .
2013-06-30 17:06:46 +02:00
7419d2c0b3
FIX off-by-one error in neighbors benchmark
2013-06-30 16:57:17 +02:00
dc28e23e4b
FIX mbkmeans benchmark bug (k instead of n_clusters)
2013-06-30 16:51:18 +02:00
e89ecd8c6e
FIX don't rely on Bunch behavior with fetch_covtype
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For consistency with new documentation
(176c9cee08
2013-06-18 18:02:41 +02:00
dacfd8bd5d
DOC: Replaced all BSD style licenses with "BSD 3 clause"
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Replaced all BSD style licenses with "BSD 3 clause"
Not checked yet!
Removed duplicate "3 clause, 3 clause"
Removed trailing period if exists
Fixed some missed licences, still about 50 to do, but those can be automated
Think I got the last of them.
Apparently me and sed have different ideas of regex.
Found a few more
2013-04-30 08:34:46 +02:00
e42e5305e6
COSMIT pep8
2013-03-05 19:02:08 +01:00
541987802f
P3K range vs. xrange
2013-02-14 02:05:35 +01:00
16e595ab94
ENH move covtype loading to sklearn.datasets
2013-02-13 21:01:19 +01:00
c481ff8857
P3K fix broken doctest and add forgotten print_function import
2013-02-11 23:27:17 +01:00
85ec0fd1ae
P3K death to the print statement
2013-02-11 23:11:57 +01:00
819b322a38
P3K one more iteritems
2013-02-03 21:24:04 +01:00
743035f7f0
P3K: avoid iteritems / itervalues when feasible
2013-01-18 18:36:15 +01:00
15b1d9702f
zero_one_loss now does normalize on default.
2013-01-14 12:44:48 +01:00
6cf5ee0fbf
ENH rename zero_loss_score to accuracy_score
2013-01-09 15:31:57 +01:00
07881645a6
COSMIT make everything use the common interface
2012-12-21 14:48:01 +01:00
616e2b5d64
ENH Rename Bernoulli random projection to sparse random projection
2012-12-21 14:48:01 +01:00
12c8d3be79
ENH Rename Bernoulli random projection to sparse random projection
2012-12-21 14:48:01 +01:00
06a477a04b
FIX broken import
2012-12-21 14:48:00 +01:00
44a7e012b9
DOC + typo
2012-12-21 14:47:58 +01:00
474663f36c
FIX typo mistakes + ENH change default behavior to speed the bench with Gaussian random projection
2012-12-21 14:47:57 +01:00
f1776cfc5e
FIX: broken import
2012-12-21 14:47:57 +01:00
260bdfaeb8
DOC: fix mistake in the doc + ADD benchmarking script
2012-12-21 14:47:57 +01:00
eff360b7b6
Typo
2012-12-21 14:47:57 +01:00
e3dcdd4ade
FIX: argumetn passing selection of sparse/dense matrix
2012-12-21 14:34:23 +01:00
f014ed52db
ENH optim sparse bernouilli matrix
2012-12-21 14:34:23 +01:00
75728cc8e1
Typo
2012-12-21 14:34:23 +01:00
eccbd90bdc
ENH finish benchmark
2012-12-21 14:34:22 +01:00
743f416216
WIP: add benchmark for random_projection module
2012-12-21 14:34:22 +01:00
fdf4846e98
ENH add random-seed args
2012-11-28 16:54:54 +01:00
31de016227
Improved bench_covtype.py to load data faster and support configurable n_jobs
2012-11-25 03:17:16 +01:00
9bd0aadaa3
MISC renamed n_iterations to n_iter in all other places.
2012-10-10 19:10:29 +01:00
fc3e680cf3
Remove chunk_size from k_means
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This was deprecated in 0.10 as far as I can tell.
2012-09-01 20:02:12 +02:00
78ecda67f7
COSMIT typos in covertype benchmark
2012-07-22 21:32:30 +02:00
82cc2d0116
BENCHMARK covertype: select classifier via cmd line opt
2012-03-27 23:25:21 +02:00
f548b99672
delete benchmark scripts - include them in dedicated branch or ml-benchmarks
2012-03-13 07:48:35 +01:00
5b3cb5ce74
updated benchmark script
2012-03-13 07:47:45 +01:00
835af05624
Merge remote branch 'upstream/master' into gradient_boosting
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Conflicts:
sklearn/tree/tree.py
2012-03-13 07:16:35 +01:00
e6a5713e02
comment out - yahoo learning to rank dataset
2012-03-11 14:17:08 +01:00
61c3fdbf5c
fix: min_samples_split
2012-03-07 20:13:47 +01:00
24a1b3aa02
expose 'ls' loss function for classification
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added new example (GB regularization)
fix: min_split -> min_samples_split in examples
2012-03-05 22:26:06 +01:00
05b5e389c3
uncomment RandomForest
2012-03-03 11:44:48 +01:00
51b6faa44a
renamed and updated covertype benchmark.
2012-03-03 11:44:08 +01:00
73320c4545
Merge branch 'master' into gradient_boosting
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Conflicts:
doc/modules/ensemble.rst
sklearn/ensemble/tests/test_forest.py
sklearn/tree/_tree.c
sklearn/tree/tree.py
2012-03-03 11:40:01 +01:00
Lars Buitinck