[DOC] Documentation for builtin naivebayes function
Closes #948.
diff --git a/dev/docs/builtins-reference.md b/dev/docs/builtins-reference.md
index c8fb028..83fcd10 100644
--- a/dev/docs/builtins-reference.md
+++ b/dev/docs/builtins-reference.md
@@ -35,6 +35,7 @@
* [`normalize`-Function](#normalize-function)
* [`gnmf`-Function](#gnmf-function)
* [`msvm`-Function](#msvm-function)
+ * [`naivebayes`-Function](#naivebayes-function)
* [`outlier`-Function](#outlier-function)
* [`toOneHot`-Function](#toOneHOt-function)
@@ -480,6 +481,36 @@
gnmf(X = X, rnk = 2, eps = 10^-8, maxi = 10)
```
+## `naivebayes`-Function
+
+The `naivebayes`-function computes the class conditional probabilities and class priors.
+
+### Usage
+```r
+naivebayes(D, C, laplace, verbose)
+```
+
+### Arguments
+| Name | Type | Default | Description |
+| :------ | :------------- | -------- | :---------- |
+| D | Matrix[Double] | required | One dimensional column matrix with N rows. |
+| C | Matrix[Double] | required | One dimensional column matrix with N rows. |
+| Laplace | Double | `1` | Any Double value. |
+| Verbose | Boolean | `TRUE` | Boolean value. |
+
+### Returns
+| Type | Description |
+| :------------- | :---------- |
+| Matrix[Double] | Class priors, One dimensional column matrix with N rows. |
+| Matrix[Double] | Class conditional probabilites, One dimensional column matrix with N rows. |
+
+### Example
+```r
+D=rand(rows=10,cols=1,min=10)
+C=rand(rows=10,cols=1,min=10)
+[prior, classConditionals] = naivebayes(D, C, laplace = 1, verbose = TRUE)
+```
+
## `outlier`-Function
This `outlier`-function takes a matrix data set as input from where it determines which point(s)
