Browsing by Author "Beckham, Christopher J."
Now showing items 1-3 of 3
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Classification and regression algorithms for WEKA implemented in Python
(University of Waikato, Department of Computer Science, 2015-10)WEKA is a popular machine learning workbench written in Java that allows users to easily classify, process, and explore data. There are many ways WEKA can be used: through the WEKA Explorer, users can visualise data, train ... -
WekaDeeplearning4j: A deep learning package for weka based on Deeplearning4j
(Elsevier BV, 2019)Deep learning is a branch of machine learning that generates multi-layered representations of data, commonly using artificial neural networks, and has improved the state-of-the-art in various machine learning tasks (e.g., ... -
WekaPyScript: Classification, regression, and filter schemes for WEKA implemented in Python
(2016)WekaPyScript is a package for the machine learning software WEKA that allows learning algorithms and preprocessing methods for classification and regression to be written in Python, as opposed to WEKA’s implementation ...
