j143 commented on a change in pull request #935:
URL: https://github.com/apache/systemml/pull/935#discussion_r433636919
##########
File path: dev/docs/builtins-reference.md
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@@ -351,3 +353,32 @@ y = X %*% rand(rows = ncol(X), cols = 1)
w = lm(X = X, y = y)
ress = slicefinder(X = X,W = w, Y = y, k = 5, paq = 1, S = 2);
```
+## `normalize`-Function
+
+The `normalize`-function is used for data preparation by normalization. Here,
the values of a matrix (numeric columns) are changed in the dataset to use a
common scale, while preserving differences in the ranges of values.
+
+### Usage
+```r
+normalize(X);
+```
+
+### Arguments
+| Name | Type | Default | Description |
+| :------ | :------------- | -------- | :---------- |
+| X | Matrix[Double] | required | Matrix of feature vectors. |
+
+
+### Returns
+| Type | Description |
+| :------------- | :---------- |
+| Matrix[Double] | 1-column matrix of normalized values. |
+
+
+
+### Example
+```r
+X = rand (rows = 50, cols = 10)
+y = X %*% rand(rows=ncol(X), cols=1)
+y=normalize(X = X)
Review comment:
Also, `y = normalize(X = X)` or `y=normalize(X = X)` can be used
consistently.
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