comparison main_macros.xml @ 20:f051d64eb12e draft

planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 8cf3d813ec755166ee0bd517b4ecbbd4f84d4df1
author bgruening
date Thu, 23 Aug 2018 16:19:35 -0400
parents 98b632c407ae
children 56ddc98c484e
comparison
equal deleted inserted replaced
19:98b632c407ae 20:f051d64eb12e
1422 </xml> 1422 </xml>
1423 1423
1424 <xml name="sklearn_citation"> 1424 <xml name="sklearn_citation">
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1427 @article{scikit-learn, 1427 @article{scikit-learn,
1428 title={Scikit-learn: Machine Learning in {P}ython}, 1428 title={Scikit-learn: Machine Learning in {P}ython},
1429 author={Pedregosa, F. and Varoquaux, G. and Gramfort, A. and Michel, V. 1429 author={Pedregosa, F. and Varoquaux, G. and Gramfort, A. and Michel, V.
1430 and Thirion, B. and Grisel, O. and Blondel, M. and Prettenhofer, P. 1430 and Thirion, B. and Grisel, O. and Blondel, M. and Prettenhofer, P.
1431 and Weiss, R. and Dubourg, V. and Vanderplas, J. and Passos, A. and 1431 and Weiss, R. and Dubourg, V. and Vanderplas, J. and Passos, A. and
1432 Cournapeau, D. and Brucher, M. and Perrot, M. and Duchesnay, E.}, 1432 Cournapeau, D. and Brucher, M. and Perrot, M. and Duchesnay, E.},
1433 journal={Journal of Machine Learning Research}, 1433 journal={Journal of Machine Learning Research},
1434 volume={12}, 1434 volume={12},
1435 pages={2825--2830}, 1435 pages={2825--2830},
1436 year={2011} 1436 year={2011}
1437 url = {https://github.com/scikit-learn/scikit-learn} 1437 }
1438 }
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1444 <citations> 1444 <citations>
1452 } 1452 }
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1454 </citations> 1454 </citations>
1455 </xml> 1455 </xml>
1456 1456
1457 <xml name="skrebate_citation">
1458 <citation type="bibtex">
1459 @article{DBLP:journals/corr/abs-1711-08477,
1460 author = {Ryan J. Urbanowicz and
1461 Randal S. Olson and
1462 Peter Schmitt and
1463 Melissa Meeker and
1464 Jason H. Moore},
1465 title = {Benchmarking Relief-Based Feature Selection Methods},
1466 journal = {CoRR},
1467 volume = {abs/1711.08477},
1468 year = {2017},
1469 url = {http://arxiv.org/abs/1711.08477},
1470 archivePrefix = {arXiv},
1471 eprint = {1711.08477},
1472 timestamp = {Mon, 13 Aug 2018 16:46:04 +0200},
1473 biburl = {https://dblp.org/rec/bib/journals/corr/abs-1711-08477},
1474 bibsource = {dblp computer science bibliography, https://dblp.org}
1475 }
1476 </citation>
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1478
1479 <xml name="xgboost_citation">
1480 <citation type="bibtex">
1481 @inproceedings{Chen:2016:XST:2939672.2939785,
1482 author = {Chen, Tianqi and Guestrin, Carlos},
1483 title = {{XGBoost}: A Scalable Tree Boosting System},
1484 booktitle = {Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining},
1485 series = {KDD '16},
1486 year = {2016},
1487 isbn = {978-1-4503-4232-2},
1488 location = {San Francisco, California, USA},
1489 pages = {785--794},
1490 numpages = {10},
1491 url = {http://doi.acm.org/10.1145/2939672.2939785},
1492 doi = {10.1145/2939672.2939785},
1493 acmid = {2939785},
1494 publisher = {ACM},
1495 address = {New York, NY, USA},
1496 keywords = {large-scale machine learning},
1497 }
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1499 </xml>
1500
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