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_/18029474/1
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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.
提供机构:
figshare
创建时间:
2022-01-07



