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在插入符号的“火车”功能中添加新方法

[英]Adding a new method to the 'train' function in caret

I would like to use caret to train a model in RSNSS (Stuttgart Neural Network Simulator). 我想使用插入符号在RSNSS(斯图加特神经网络模拟器)中训练模型。 Unfortunately, it looks like RSNSS is not yet implemented in train. 不幸的是,RSNSS似乎尚未在火车上实施。 There doesn't seem to be any documentation in the train function for adding new methods, and I was wondering if anyone else had tried this on their own. 训练函数中似乎没有任何文档可以添加新方法,我想知道是否还有其他人自己尝试过。

rsnss objects have both a 'train' and 'predict' method already defined, so I don't think this should be too difficult. rsnss对象已经定义了“训练”和“预测”方法,因此我认为这应该不会太困难。

Thank you. 谢谢。

/edit: Caret now includes methods from the RSNSS package. / edit: 插入符号现在包括 RSNSS软件包中的方法。

征求有关pkg:caret功能的专家建议的方法(尤其是对于有意义的愿望清单项目)是与作者/维护者Max Kuhn联系的。

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