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GenIe is a tool for genetic or evolutionary hyperparameter optimization with entropy analysis. It is written in Java, but can be used language independent with config files and fitness function process calls.
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Offered features are:
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* Platform independent as it is written in 100% pure Java
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* Entropy analysis of the evolution generations to rank the impact of parameters
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* Parameterize everything relevant for the genetic run inside a [single small config file](https://git.opendfki.de/reuschling/genie/-/blob/main/geneticOptimization.conf)
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* Optionally, no java coding necessary: offer your fitness/cost function as a [simple process exec call](https://git.opendfki.de/reuschling/genie/-/wikis/Documentation#standalone-use)
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* Platform independent as it is written in 100% pure Java
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GenIe is implemented on top of the great [watchmaker framework](https://watchmaker.uncommons.org/). It is offered to you for free under the terms of the [GPLv2 license](https://opensource.org/licenses/gpl-2.0.php). Owner: [DFKI GmbH](https://www.dfki.de/en/web/research/research-departments-and-groups/smart-data-knowledge-services/).
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TODO: kleines code snippet mit Ergebnis oder einfach nur ein HeatMap Ergebnis
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---
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Small entropy analysis example for finding the right summands to get the result '23'.
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