how to mix Multinomial Naive Nayes with Gaussian Naive Bayes
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- Rust
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Description
Because of the feature data, I want to classify the feature data, learn it using Gaussian Bayes and Multinomial Bayes respectively, and then mix the two. Could you please tell me how to achieve this?
By the way, after downloading the code from GitHub and running it, 51 errors were found. My compilation system is rust 1.82
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reproducing the reported build with Rust 1.82 and record the 51 compilation errors; the issue names no files, tests, or commands. Determine whether the errors are a project compatibility problem and clarify the intended way to combine Gaussian and Multinomial Naive Bayes before defining a fix.
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Assessment
- Tech stack
- rust
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100