Increment version number to 0.6.0.9000
The Cubist R package fits Quinlan’s Cubist regression model based on the source of from www.rulequest.com. Some of the functionality is based on
Cubist
www.rulequest.com
Quinlan. Learning with continuous classes. Proceedings of the 5th Australian Joint Conference On Artificial Intelligence (1992) pp. 343-348
Quinlan. Combining instance-based and model-based learning. Proceedings of the Tenth International Conference on Machine Learning (1993) pp. 236-243
More details on Cubist can be found in Applied Predictive Modeling. A presentation on the model can be found here. This R Views blog post has information on Cubist and compares it to RuleFit.
To install the production version of the package, use:
install.packages("Cubist")
and to install the development version, use
require("devtools") install_github("topepo/Cubist")
基于规则和实例的回归模型建模工具,用于生成预测模型
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The
CubistR package fits Quinlan’s Cubist regression model based on the source of fromwww.rulequest.com. Some of the functionality is based onQuinlan. Learning with continuous classes. Proceedings of the 5th Australian Joint Conference On Artificial Intelligence (1992) pp. 343-348
Quinlan. Combining instance-based and model-based learning. Proceedings of the Tenth International Conference on Machine Learning (1993) pp. 236-243
More details on Cubist can be found in Applied Predictive Modeling. A presentation on the model can be found here. This R Views blog post has information on Cubist and compares it to RuleFit.
To install the production version of the package, use:
and to install the development version, use