fracpete/multisearch-weka-package
Weka package for parameter optimization, similar to GridSearch, but with arbitrary number of parameters.
This Weka package helps machine learning practitioners fine-tune their models by systematically testing various combinations of settings. You provide your chosen Weka classifier or filter configuration and define the specific parameters you want to explore. The tool then outputs the optimal parameter settings for your model, helping you achieve better performance. This is ideal for data scientists, researchers, and anyone working with Weka models who needs to optimize model hyperparameters.
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Use this if you need to optimize an arbitrary number of parameters for your Weka machine learning models or data filters to improve their accuracy or efficiency.
Not ideal if you need an automated system to suggest and extend the search space for parameters, as this package requires you to explicitly define the parameter ranges.
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8
Language
Java
License
GPL-3.0
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Last pushed
Feb 17, 2021
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