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171 Commits

Author SHA1 Message Date
Arnaud Joly 6cf5ee0fbf ENH rename zero_loss_score to accuracy_score 2013-01-09 15:31:57 +01:00
Arnaud Joly 07881645a6 COSMIT make everything use the common interface 2012-12-21 14:48:01 +01:00
Arnaud Joly 616e2b5d64 ENH Rename Bernoulli random projection to sparse random projection 2012-12-21 14:48:01 +01:00
Arnaud Joly 12c8d3be79 ENH Rename Bernoulli random projection to sparse random projection 2012-12-21 14:48:01 +01:00
Arnaud Joly 06a477a04b FIX broken import 2012-12-21 14:48:00 +01:00
Arnaud Joly 44a7e012b9 DOC + typo 2012-12-21 14:47:58 +01:00
Arnaud Joly 474663f36c FIX typo mistakes + ENH change default behavior to speed the bench with Gaussian random projection 2012-12-21 14:47:57 +01:00
Arnaud Joly f1776cfc5e FIX: broken import 2012-12-21 14:47:57 +01:00
Arnaud Joly 260bdfaeb8 DOC: fix mistake in the doc + ADD benchmarking script 2012-12-21 14:47:57 +01:00
Arnaud Joly eff360b7b6 Typo 2012-12-21 14:47:57 +01:00
Arnaud Joly e3dcdd4ade FIX: argumetn passing selection of sparse/dense matrix 2012-12-21 14:34:23 +01:00
Arnaud Joly f014ed52db ENH optim sparse bernouilli matrix 2012-12-21 14:34:23 +01:00
Arnaud Joly 75728cc8e1 Typo 2012-12-21 14:34:23 +01:00
Arnaud Joly eccbd90bdc ENH finish benchmark 2012-12-21 14:34:22 +01:00
Arnaud Joly 743f416216 WIP: add benchmark for random_projection module 2012-12-21 14:34:22 +01:00
Arnaud Joly fdf4846e98 ENH add random-seed args 2012-11-28 16:54:54 +01:00
Olivier Grisel 31de016227 Improved bench_covtype.py to load data faster and support configurable n_jobs 2012-11-25 03:17:16 +01:00
Andreas Mueller 9bd0aadaa3 MISC renamed n_iterations to n_iter in all other places. 2012-10-10 19:10:29 +01:00
Vlad Niculae fc3e680cf3 Remove chunk_size from k_means 
This was deprecated in 0.10 as far as I can tell.
 2012-09-01 20:02:12 +02:00
Andy 78ecda67f7 COSMIT typos in covertype benchmark 2012-07-22 21:32:30 +02:00
Paolo Losi 82cc2d0116 BENCHMARK covertype: select classifier via cmd line opt 2012-03-27 23:25:21 +02:00
Peter Prettenhofer f548b99672 delete benchmark scripts - include them in dedicated branch or ml-benchmarks 2012-03-13 07:48:35 +01:00
Peter Prettenhofer 5b3cb5ce74 updated benchmark script 2012-03-13 07:47:45 +01:00
Peter Prettenhofer 835af05624 Merge remote branch 'upstream/master' into gradient_boosting 
Conflicts:
	sklearn/tree/tree.py
 2012-03-13 07:16:35 +01:00
Peter Prettenhofer e6a5713e02 comment out - yahoo learning to rank dataset 2012-03-11 14:17:08 +01:00
Peter Prettenhofer 61c3fdbf5c fix: min_samples_split 2012-03-07 20:13:47 +01:00
Peter Prettenhofer 24a1b3aa02 expose 'ls' loss function for classification 
added new example (GB regularization)
fix: min_split -> min_samples_split in examples
 2012-03-05 22:26:06 +01:00
Peter Prettenhofer 05b5e389c3 uncomment RandomForest 2012-03-03 11:44:48 +01:00
Peter Prettenhofer 51b6faa44a renamed and updated covertype benchmark. 2012-03-03 11:44:08 +01:00
Peter Prettenhofer 73320c4545 Merge branch 'master' into gradient_boosting 
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
Alexandre Gramfort 81816ac0ca FIX : fix ward benchmark 2012-02-26 21:53:36 +01:00
Andreas Mueller 361a058658 MISC don't use deprecated mean_square_error 2012-02-16 16:09:31 +01:00
Andreas Mueller 49462943cb MISC renamed min_split and min_leaf to min_samples_split, min_samples_leaf, added them to the ensemble classifiers and documented them.... 2012-02-15 23:38:11 +01:00
Peter Prettenhofer 209d23de5e Merge remote branch 'upstream/master' into gradient_boosting 
Conflicts:
	sklearn/ensemble/tests/test_forest.py
 2012-01-31 21:12:49 +01:00
Mathieu Blondel 3b8f54e586 Add n_jobs option to pairwise_distances and pairwise_kernels. 2012-01-25 23:57:22 +09:00
Peter Prettenhofer 8648cfefec renamed estimators to estimators_ 2012-01-24 22:59:47 +01:00
Peter Prettenhofer 73a7f77dd5 added script to bench sklearn gbrt against R's gbm package. 2012-01-09 22:04:29 +01:00
Peter Prettenhofer d58f2cf580 enh: performance enhancement by removing redundant computation of values - we use the state of `criterion` instead. 2012-01-08 16:53:39 +01:00
Peter Prettenhofer 83bedfdfcf merge with master finally resolved! 2012-01-06 21:38:10 +01:00
Peter Prettenhofer 4a70636701 Merge branch 'tree-feature-importance' into old-gradient-boosting 
Conflicts:
	sklearn/tree/_tree.c
	sklearn/tree/tree.py
 2012-01-06 20:02:15 +01:00
Olivier Grisel 0f6c525d7e ENH: renamed fast_svd to randomized_svd + related improvements 2011-12-31 14:31:55 +01:00
Jake Vanderplas 6bdc90417c COSMIT: pep8 2011-12-23 10:24:36 -08:00
Fabian Pedregosa 2d734a1ff7 FIX: broken benchmark 2011-12-19 03:53:53 -05:00
Fabian Pedregosa a33485f34d Remove useless benchmark. 
It seems incomplete, it doesn't measure anything. Furthermore, git
blame points to me, so I assume I'm not making anybody angry.
 2011-12-19 03:48:10 -05:00
Bala Subrahmanyam Varanasi 36d0adb8c1 pep8 compliant 2011-12-17 00:48:40 +05:30
Peter Prettenhofer 2e37f0e2ce repeat decorator now with arguments 2011-12-12 22:56:57 +01:00
Peter Prettenhofer 582c431ab7 Merge remote branch 'upstream/master' into gradient_boosting 2011-12-12 22:09:59 +01:00
Peter Prettenhofer b68226b69e cosmit 2011-12-01 11:47:23 +01:00
Peter Prettenhofer 18fb39d635 min_density now works with store_terminal_regions (however, this only matters if you learn deep trees max_depth >> 5 which rarely happens). 2011-11-30 10:19:08 +01:00
Brian Holt ae3b9439ca Re-ran the tests and found that the GaussianNB error was much lower. 2011-11-29 11:58:12 +00:00