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?

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