To compare classifiers it would be handy to have a machine-readable version of the confusion matrices, instead of just a text printout.
On Sun, Sep 11, 2011 at 10:36 AM, Robin Anil <[email protected]> wrote: > Its much simpler we don't need any of the tokenizing portions in old > TestClassifier. Simply multiply document vector with class vector. And sort > the score pick the highest for NB or lowest for cnb > On Sep 11, 2011 10:12 PM, "Grant Ingersoll" <[email protected]> wrote: > > > > On Sep 11, 2011, at 11:50 AM, Robin Anil wrote: > >> > >> Unfortunately I havent made a wiki entry yet. I will put one it soon. > The > >> naivebayes package only has the model building code. Once the model is > >> built, the class vectors need to be loaded and the scores need to be > >> computed for each new document (dot product). This part is not yet > there. > > > > You just mean simply load the model and do the scoring, right? Can we > reuse what's in TestClassifier or any of that stuff? > -- Lance Norskog [email protected]
