2
$\begingroup$

I am trying to use Logistic Regression to make a spam filter, but I am having trouble understanding the weight update part. I have processed my email dataset, and I have an attribute vector of the top n words that are most likely to be contained within a spam.

From my understanding, during training, I will have to implement an optimization formula after each training example in order to update the weights.

$$ w_l \leftarrow w_l + \eta \cdot \sum_{i=1}^m [ y^{(i)} - P(c_+ \mid \vec{x}^{(i)} )] \cdot x_l^{(i)} $$

How does a formula such as this work? How can it be implemented in Python?

$\endgroup$
1
$\begingroup$

I think i found out how that works, so i made a short article about it . https://medium.com/@kourloskostas/python-spam-filter-86b21d7d1564 I hope it helps!

$\endgroup$
3
  • 2
    $\begingroup$ You are right ,will post the answer here as well $\endgroup$
    – kostas
    Apr 14 '20 at 9:50
  • $\begingroup$ Actually, if you could excerpt the most salient passages from the medium article, that would really help with this answer, specifically. (Welcome to SE:AI btw--glad to have you here!) $\endgroup$
    – DukeZhou
    Apr 14 '20 at 22:22
  • $\begingroup$ Thanks ! I will do my best to clear the article up! $\endgroup$
    – kostas
    Apr 15 '20 at 0:23

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Not the answer you're looking for? Browse other questions tagged or ask your own question.