MVPpred lizard ecomorphology machine learning model, data, and code associated with Lailvaux et al. (2022) "Machine learning accurately predicts the multivariate performance phenotype from morphology in lizards", PLoS One.
收藏DataCite Commons2022-01-07 更新2024-07-29 收录
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https://figshare.com/articles/dataset/MVPpred_lizard_ecomorphology_machine_learning_model_data_and_code_associated_with_Lailvaux_et_al_2022_Machine_learning_accurately_predicts_the_multivariate_performance_phenotype_from_morphology_in_lizards_PLoS_One_/18029474
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资源简介:
This archive contains the working MVPpred machine learning lizard performance model, along with the associated training data, code, and output. The working model and a brief model tutorial are located in the directory Pooja/Userinterface/UI. Note that model operation requires a working version of the Python Anaconda software to be installed on the machine running it. Contact Md Tamjidul Hoque (thoque@uno.edu) or Simon Lailvaux (slailvaux@gmail.com) with any queries or issues.
本归档包内含可运行的MVPpred机器学习蜥蜴性能模型,以及配套的训练数据、代码与运行输出结果。可运行模型与简要模型教程均存放于Pooja/Userinterface/UI目录下。请注意,运行该模型需在运行主机上安装可用版本的Python Anaconda软件。如有任何疑问或问题,请联系Md Tamjidul Hoque(邮箱:thoque@uno.edu)或Simon Lailvaux(邮箱:slailvaux@gmail.com)。
提供机构:
figshare
创建时间:
2022-01-07



