Naive Bayesian Classification for Golang Reviews & Product Details

As mentioned in the title, Naive Bayes is a very simple classification algorithm that makes some strong assumptions about the independence of each input variable. I found this when I was searching for a classification algorithm for my research project. It is a light weighted library to use with the Naive Bayes classification algorithm. It was very difficult to find this library for Go language but with the help of this, I got the job done very easily. The method is efficient in its work and the results are accurate as well. Review collected by and hosted on G2.com.

In my opinion, I think this needs to improve its documentation a bit more. The current documentation is a bit harder to understand for a beginner like myself. Review collected by and hosted on G2.com.

I think its title just talks about the product. a light-weighted library to use your classification tasks with the naive-Bayes method. The method is pretty much efficient and fast and the results are accurate. There is not lots of functionality and it is a good thing. you can just do what the code promised you. naive-Bayes classification. Review collected by and hosted on G2.com.

I think having more documentation regarding the installation and using the product with more coded example might be helpful for beginners. The documentation lacks a troubleshooting guide as well. Review collected by and hosted on G2.com.

it is very hard to find libraries for golang so to find a classifier made my workload super productive. the library is very effective in reading text Review collected by and hosted on G2.com.

the community is still growing, i am sure more people will contribute to it. there are some system issues and git related problems that occur here and there. Review collected by and hosted on G2.com.