Mercurial > repos > bgruening > sklearn_regression_metrics
diff main_macros.xml @ 13:1e02b574f5c0 draft
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 8cf3d813ec755166ee0bd517b4ecbbd4f84d4df1
author | bgruening |
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date | Thu, 23 Aug 2018 16:18:37 -0400 |
parents | 8362c6cda4ef |
children | 625beb4e5000 |
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--- a/main_macros.xml Fri Aug 17 12:29:29 2018 -0400 +++ b/main_macros.xml Thu Aug 23 16:18:37 2018 -0400 @@ -1424,19 +1424,19 @@ <xml name="sklearn_citation"> <citations> <citation type="bibtex"> - @article{scikit-learn, - title={Scikit-learn: Machine Learning in {P}ython}, - author={Pedregosa, F. and Varoquaux, G. and Gramfort, A. and Michel, V. - and Thirion, B. and Grisel, O. and Blondel, M. and Prettenhofer, P. - and Weiss, R. and Dubourg, V. and Vanderplas, J. and Passos, A. and - Cournapeau, D. and Brucher, M. and Perrot, M. and Duchesnay, E.}, - journal={Journal of Machine Learning Research}, - volume={12}, - pages={2825--2830}, - year={2011} - url = {https://github.com/scikit-learn/scikit-learn} - } + @article{scikit-learn, + title={Scikit-learn: Machine Learning in {P}ython}, + author={Pedregosa, F. and Varoquaux, G. and Gramfort, A. and Michel, V. + and Thirion, B. and Grisel, O. and Blondel, M. and Prettenhofer, P. + and Weiss, R. and Dubourg, V. and Vanderplas, J. and Passos, A. and + Cournapeau, D. and Brucher, M. and Perrot, M. and Duchesnay, E.}, + journal={Journal of Machine Learning Research}, + volume={12}, + pages={2825--2830}, + year={2011} + } </citation> + <yield/> </citations> </xml> @@ -1454,4 +1454,48 @@ </citations> </xml> + <xml name="skrebate_citation"> + <citation type="bibtex"> + @article{DBLP:journals/corr/abs-1711-08477, + author = {Ryan J. Urbanowicz and + Randal S. Olson and + Peter Schmitt and + Melissa Meeker and + Jason H. Moore}, + title = {Benchmarking Relief-Based Feature Selection Methods}, + journal = {CoRR}, + volume = {abs/1711.08477}, + year = {2017}, + url = {http://arxiv.org/abs/1711.08477}, + archivePrefix = {arXiv}, + eprint = {1711.08477}, + timestamp = {Mon, 13 Aug 2018 16:46:04 +0200}, + biburl = {https://dblp.org/rec/bib/journals/corr/abs-1711-08477}, + bibsource = {dblp computer science bibliography, https://dblp.org} + } + </citation> + </xml> + + <xml name="xgboost_citation"> + <citation type="bibtex"> + @inproceedings{Chen:2016:XST:2939672.2939785, + author = {Chen, Tianqi and Guestrin, Carlos}, + title = {{XGBoost}: A Scalable Tree Boosting System}, + booktitle = {Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining}, + series = {KDD '16}, + year = {2016}, + isbn = {978-1-4503-4232-2}, + location = {San Francisco, California, USA}, + pages = {785--794}, + numpages = {10}, + url = {http://doi.acm.org/10.1145/2939672.2939785}, + doi = {10.1145/2939672.2939785}, + acmid = {2939785}, + publisher = {ACM}, + address = {New York, NY, USA}, + keywords = {large-scale machine learning}, + } + </citation> + </xml> + </macros>