comparison main_macros.xml @ 20:60945fb5d650 draft

planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 8cf3d813ec755166ee0bd517b4ecbbd4f84d4df1

19:c92a4d1252e1

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        <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}
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20:60945fb5d650

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          @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}
          }
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      @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}
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      @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},
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