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Jaqpot 5: How to deploy a predictive model using the jaqpotpy library

Name: Jaqpot 5: How to deploy a predictive model using the jaqpotpy library
Creator: Sarimveis, Haralambos
Keywords: Machine Learning, Biokinetics, NanoInformatics, ChemInformatics

descriptionPublicationkeyboard_double_arrow_right Report , Other literature type 16 Jan 2020Publisher:ZenodoFunded by:EC | OpenRiskNet, EC | NanoCommons

Authors: Sarimveis, Haralambos;

doi: 10.5281/zenodo.4671063 , 10.5281/zenodo.4671069 , 10.5281/zenodo.3610171 , 10.5281/zenodo.3610170

Jaqpot 5: How to deploy a predictive model using the jaqpotpy library

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Abstract

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/. Detailed documentation is available at: https://www.jaqpot.org/

Related Organizations

National Technical University of Athens
Greece

Keywords

Machine Learning, Biokinetics, NanoInformatics, ChemInformatics

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	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
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