[scikit-learn] Generate data from trained naive bayes

[klo uo]

Great.

Thanks for your time Manoj


Cheers,
Klo


On Mon, Oct 3, 2016 at 8:20 PM, Manoj Kumar <manojkumarsivaraj334 at gmail.com>
wrote:

> Let's say you would like to generate just the first feature of 1000
> samples with label 0.
>
> The distribution of the first feature conditioned on label 1 follows a
> Bernoulli distribution (as suggested by the name) with parameter
> "exp(feature_log_prob_[0, 0])". You could then generate the first feature
> of these 1000 samples by just doing
>
> first_feature = bernoulli.rvs(exp(feature_log_prob_[0, 0]), size=1000)
>
> And follow the same approach for all the other features with the
> corresponding parameters. (They are conditionally independent)
>
>
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