因此,这里还有一个难题。 I m 寻找相当于Wekas Bayes Net等值。 通知说,它与Naive Bayes不同。 韦卡的问题在于它使用太多的记忆,因此无法处理大型数据集。
需要处理几万个案例,即Windows。
To (partially) answer my own question, Knime has an extansion for using Weka components. It seems to handle memory better by an order of magnitude.
然而,Im在寻找另一个器具、指挥线效用或可能是一座灰色图书馆。
You must edit RunWeka.ini where weka is installed.
Open RunWeka.ini and change maxheap=128m to maxheap=1024m, then save.finish.
如果您在Windows上工作,则还有另一种选择。 微软拥有这个称为。 但这不是公开来源。
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