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The multivariate performance predictor model (MVPpred) predicts 5 different lizard performance variables from simple morphological measures. The working model along with the associated code and data are archived here.

How to Run the MVPpred model

Brief video demonstrations for installing and running MVPpred are available for Windows and Linux. The model requires the installation of Anaconda on your machine.

From the Anaconda prompt, navigate to the UI folder containing the model (e.g. cd Desktop; cd UI)
Install xgboost using the command "pip install xgboost==0.90"
Enter command "python UI.py"
Enter availabe morphological data for the individual whose performance you would like to predict, using -1 as a placeholder for any missing morphological variables.
Enjoy the predicted multivariate performance phenotype in whatever manner maximizes your individual happiness.

Coming soon: MVPpred v.2 now with even more lizards

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	The multivariate performance predictor model (MVPpred) predicts 5 different lizard performance variables from simple morphological measures. The working model along with the associated code and data are archived here. How to Run the MVPpred model Brief video demonstrations for installing and running MVPpred are available for Windows and Linux. The model requires the installation of Anaconda on your machine. From the Anaconda prompt, navigate to the UI folder containing the model (e.g. cd Desktop; cd UI) Install xgboost using the command "pip install xgboost==0.90" Enter command "python UI.py" Enter availabe morphological data for the individual whose performance you would like to predict, using -1 as a placeholder for any missing morphological variables. Enjoy the predicted multivariate performance phenotype in whatever manner maximizes your individual happiness. Coming soon: MVPpred v.2 now with even more lizards