Hi,
feature_log_prob_ is an array of size (n_classes, n_features).
exp(feature_log_prob_[class_ind, feature_ind]) gives P(X_{feature_ind} = 1
| class_ind)"
Using the conditional independence assumptions of NaiveBayes, you can use
this to sample each feature independently given the class.
Hope that helps.
On Mon, Oct 3, 2016 at 11:09 AM, klo uo <klo...@gmail.com> wrote:
> On Mon, Oct 3, 2016 at 5:08 PM, klo uo <klo...@gmail.com> wrote:
>
>> I can see how can I sample from `feature_log_prob_`...
>>
>
> I meant I cannot see
>
>
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--
Manoj,
http://github.com/MechCoder
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