Re: [Scikit-learn-general] Flexible Naive Bayes

2014-06-11 Thread Lars Buitinck
2014-06-11 18:16 GMT+02:00 Gavin Gray : > Yeah, you'd have to hand in a ve ctor listing which distribution to use for > each element in the feature vector. Weka might have a way round this, but > I'll have to try using it to see what the interface is like. They reference > a paper that estimates th

Re: [Scikit-learn-general] Flexible Naive Bayes

2014-06-11 Thread Gavin Gray
Yeah, you'd have to hand in a vector listing which distribution to use for each element in the feature vector. Weka might have a way round this, but I'll have to try using it to see what the interface is like. They reference a paper that estimates the distribution of each feature using KDE: http://

Re: [Scikit-learn-general] Flexible Naive Bayes

2014-06-11 Thread Lars Buitinck
2014-06-11 15:54 GMT+02:00 Gavin Gray : > I need to use Naive Bayes for mixed categorial and numerical data and was > thinking of implementing a flexible Naive Bayes algorithm similar to Weka's > instead of hacking my way around by converting the numerical to categorical > or similar. Is there a go

[Scikit-learn-general] Flexible Naive Bayes

2014-06-11 Thread Gavin Gray
Hi, I need to use Naive Bayes for mixed categorial and numerical data and was thinking of implementing a flexible Naive Bayes algorithm similar to Weka's instead of hacking my way around by converting the numerical to categorical or similar. Is there a good reason I shouldn't do this? Is anyone el