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Posted to commits@systemml.apache.org by ja...@apache.org on 2020/06/02 05:08:25 UTC
[systemml] branch master updated: [DOC] Documentation for builtin
scale function
This is an automated email from the ASF dual-hosted git repository.
janardhan pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/systemml.git
The following commit(s) were added to refs/heads/master by this push:
new 9cbfa02 [DOC] Documentation for builtin scale function
9cbfa02 is described below
commit 9cbfa02196ff035f37f5a65bca0d7af085157c7e
Author: Parul Damalu <po...@gmail.com>
AuthorDate: Tue Jun 2 10:27:24 2020 +0530
[DOC] Documentation for builtin scale function
Closes #934.
---
dev/docs/builtins-reference.md | 31 +++++++++++++++++++++++++++++++
1 file changed, 31 insertions(+)
diff --git a/dev/docs/builtins-reference.md b/dev/docs/builtins-reference.md
index 3627bd8..c2114dd 100644
--- a/dev/docs/builtins-reference.md
+++ b/dev/docs/builtins-reference.md
@@ -27,6 +27,7 @@ limitations under the License.
* [`lmDS`-Function](#lmds-function)
* [`lmCG`-Function](#lmcg-function)
* [`lmpredict`-Function](#lmpredict-function)
+ * [`scale`-Function](#scale-function)
* [`sigmoid`-Function](#sigmoid-function)
* [`steplm`-Function](#steplm-function)
* [`slicefinder`-Function](#slicefinder-function)
@@ -110,6 +111,7 @@ Note that reshape construction is not yet supported for **SPARK** execution.
**DML-bodied built-in functions** are written as DML-Scripts and executed as such when called.
+
## `lm`-Function
The `lm`-function solves linear regression using either the **direct solve method** or the **conjugate gradient algorithm**
@@ -246,6 +248,35 @@ w = lm(X = X, y = y)
yp = lmpredict(X, w)
```
+## `scale`-Function
+
+The scale function is a generic function whose default method centers or scales the column of a numeric matrix.
+
+### Usage
+```r
+scale(X, center=TRUE, scale=TRUE)
+```
+
+### Arguments
+| Name | Type | Default | Description |
+| :------ | :------------- | -------- | :---------- |
+| X | Matrix[Double] | required | Matrix of feature vectors. |
+| center | Boolean | required | either a logical value or numerical value. |
+| scale | Boolean | required | either a logical value or numerical value. |
+
+### Returns
+| Type | Description |
+| :------------- | :---------- |
+| Matrix[Double] | 1-column matrix of weights. |
+
+### Example
+```r
+X = rand(rows = 20, cols = 10)
+center=TRUE;
+scale=TRUE;
+Y= scale(X,center,scale)
+```
+
## `sigmoid`-Function
The Sigmoid function is a type of activation function, and also defined as a squashing function which limit the output