j143 commented on a change in pull request #948:
URL: https://github.com/apache/systemml/pull/948#discussion_r435071188
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File path: dev/docs/builtins-reference.md
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@@ -251,6 +252,38 @@ w = lm(X = X, y = y)
yp = lmpredict(X, w)
```
+## `naivebayes`-Function
+
+The `naivebayes`-function computes the conditional a-posterior probabilities
of a categorical class variable given independent predictor variables using the
Bayes rule.
+
+### 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] | One dimensional column matrix with N rows. |
+| Matrix[Double] | One dimensional column matrix with N rows. |
+
+### Example
+```r
Review comment:
Can you copy paste the output of this snippet in this PR as a commit.
Tip: use the following snippet to print result matrices. 🔢
```
print("-- printing prior --")
print(toString(prior))
print(" ")
print("--- printing class conditionals ")
print(toString(classConditionals))
```
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