Ensemble Learning build multiple models or use multiple learning algorithms to do prediction. One weak model may be bad, but when we combine different weak models, it may make a big difference. This package include lots of popular Ensemble Learning algorithms. And it also provides the framework for people to define their specific ensemble learning algorithm and help people to compute the results. People can define the weak models as well as the way of combining them.
Package details |
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Author | person("Bowen", "Lei", email = "bowen.lei@tamu.edu", role = c("aut", "cre")) |
Maintainer | Bowen Lei <bowen.lei@stat.tamu.edu> |
License | GPL-2 |
Version | 0.0.0.9000 |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
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