Concept for a Technical Infrastructure for Management of Predictive
Models in Industrial Applications
- URL: http://arxiv.org/abs/2107.13821v1
- Date: Thu, 29 Jul 2021 08:38:46 GMT
- Title: Concept for a Technical Infrastructure for Management of Predictive
Models in Industrial Applications
- Authors: Florian Bachinger, Gabriel Kronberger
- Abstract summary: We describe our technological concept for a model management system.
This concept includes versioned storage of data, support for different machine learning algorithms, fine tuning of models, subsequent deployment of models and monitoring of model performance after deployment.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: With the increasing number of created and deployed prediction models and the
complexity of machine learning workflows we require so called model management
systems to support data scientists in their tasks. In this work we describe our
technological concept for such a model management system. This concept includes
versioned storage of data, support for different machine learning algorithms,
fine tuning of models, subsequent deployment of models and monitoring of model
performance after deployment. We describe this concept with a close focus on
model lifecycle requirements stemming from our industry application cases, but
generalize key features that are relevant for all applications of machine
learning.
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