-
We don't have a good reference for GaussianNB iirc. We should check the references in the fMRI literature and see if they use some smoothing or anything like that.
-
You have to implement Gaussian Naive Bayes model using **sklearn library** on the Titanic dataset. A starter notebook has been added [here](https://github.com/wncc/Hello-FOSS-ML/blob/master/Titanic%20…
-
**This is a(n):**
- [x] New algorithm
- [ ] Update to an existing algorithm
- [ ] Error
- [ ] Proposal to the Repository
**Details:**
The task is to add code for **Gaussian Naive Bayes alg…
-
Currently `linfa-bayes` crate contains Gaussian Naive Bayes algorithm. It should not be very difficult to add other kinds of Naive Bayes present in `sklearn`:
- [x] Multinomial Naive Bayes
- [ ] Ber…
-
#### Description
I suggest allowing mixed datasets (half binary variables, half real-valued variables) into the Naive Bayes classifier. Currently the `GaussianNB` and `BernoulliNB` classes handle one…
-
Implementation of the following:
- [x] Naive Bayes
- [x] Gaussian Naive Bayes
- [x] Multinomial Naive Bayes
- [ ] Averaged One-Dependence Estimators (AODE)
- [ ] Bayesian Belief Network…
-
### pycaret version checks
- [X] I have checked that this issue has not already been reported [here](https://github.com/pycaret/pycaret/issues).
- [X] I have confirmed this bug exists on the [latest…
-
**Algorithms**
* Linear Model
- [x] Ordinary Least Squared Linear Regression
- [x] Gradient Descent Linear Regression
- [x] Stochastic Gradient Descent Linear Regression
- [x] Logist…
-
**Learning Goals**
- To know the best among the five Naive Bayes algorithms in analyzing the sentiment analysis
Gaussian, Categorical, Complement etc
- The basics of NLP such as token…
-
I see that h2o implements Naive Bayes. Nevertheless, it only assumes gaussian distribution for contiuous covariates. The klaR R package implements kernel density estimation for continuous covariate th…