MVPpred: The Multivariate Performance Predictor Model

The MVPpred model predicts five different lizard performance variables from simple morphological measures. The working model, along with associated code and data, is 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.

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

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