Software documentation Open Access
Jaqpot 5 is a user-friendly web-based e-infrastructure that allows model developers to deploy their predictive models and share them through the web. The Jaqpot 5 GUI directs the model developers to further document their models in a way that can be easily understood and used by end-users with little or no experience on machine learning and statistical analysis. The GUI also allows the end-users to apply the models on their own data for validation and/or prediction purposes and the results are collected and visualised in automatically generated tables, graphs and reports. All major machine learning and statistical data-driven algorithms are supported in Jaqpot 5, by integrating popular libraries such as the Python Scikit-learn and the R Caret libraries. Jaqpot 5 has been designed as a generic modelling and machine learning web platform, but particular emphasis is given on serving the needs of the chemo/bio/nano/pharma/ communities by integrating QSAR, biokinetics, dose-response and read-across models. Jaqpot 5 has been developed by the Unit of Process Control and Informatics in the School of Chemical Engineering at the National Technical University of Athens.
This document provides a tutorial on how to deploy a model in Jaqpot 5 using the jaqpotpy library. The resource has been made available at https://app.jaqpot.org/.
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70_model_reduced.csv
md5:671c6e5cc2b6aec678a3712ea4ed8de0 |
6.5 kB | Download |
JPQ5_UI_TUTORIAL_NTUA_ModelDeployment_13102019.pdf
md5:f0e20dc15810ba02748cc111b9d2af73 |
868.8 kB | Download |
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