Open rishabh-jain14 opened 3 years ago
Hi Rishabh, thanks for the PR, and sorry for my delayed response. Also apologies for not closing issue #67 after @sfsf9797 's PR. I suspect this may have created some confusion :-/
Can you explain what your code adds over the existing implementation? I haven't gone through it in detail, but given that there already exists a validated Gaussian naive Bayes model in the repo, I'm inclined to leave things as they are unless there is significant added functionality.
Hey David, thanks for the response.
The PR focuses on the implementation and comparison of the Gaussian Naive Bayes Classifier using the NumPy-ml repo as well as the scikit-learn library.
I had realized that the repo already contains a code for the Gaussian naive Bayes model but as per the issue mentioned #67, it required a brief coded file that focused on the comparison of the performance of the model in comparison to the already specified scikit-learn model. So, we can say that the comparison part is the significant added functionality here.
Feel free to include the PR into the repo if you'd like. I enjoyed assessing the entire repository and look forward to contributing as much as I can. :-)
Rishabh Jain
On Thu, Sep 23, 2021 at 9:04 PM David Bourgin @.***> wrote:
Hi Rishabh, thanks for the PR, and sorry for my delayed response. Also apologies for not closing issue #67 https://github.com/ddbourgin/numpy-ml/issues/67 after @sfsf9797 https://github.com/sfsf9797 's PR. I suspect this may have created some confusion :-/
Can you explain what your code adds over the existing implementation? I haven't gone through it in detail, but given that there already exists a validated Gaussian naive Bayes model in the repo, I'm inclined to leave things as they are unless there is significant added functionality.
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