[09/50] [abbrv] incubator-systemml git commit: [SYSTEMML-1187] Updated the documentation for removeEmpty with select and bugfix for relu_backward

[de...@apache.org]

[SYSTEMML-1187] Updated the documentation for removeEmpty with select and
bugfix for relu_backward

Also, added a multi-input cbind external function.


Project: http://git-wip-us.apache.org/repos/asf/incubator-systemml/repo
Commit: http://git-wip-us.apache.org/repos/asf/incubator-systemml/commit/5b21588d
Tree: http://git-wip-us.apache.org/repos/asf/incubator-systemml/tree/5b21588d
Diff: http://git-wip-us.apache.org/repos/asf/incubator-systemml/diff/5b21588d

Branch: refs/heads/gh-pages
Commit: 5b21588d9281bbce13a6a9b432bafd71dcf26792
Parents: cc6f3c7
Author: Niketan Pansare <np...@us.ibm.com>
Authored: Sun Jan 22 19:12:13 2017 -0800
Committer: Niketan Pansare <np...@us.ibm.com>
Committed: Sun Jan 22 19:12:13 2017 -0800

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 dml-language-reference.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)
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http://git-wip-us.apache.org/repos/asf/incubator-systemml/blob/5b21588d/dml-language-reference.md
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diff --git a/dml-language-reference.md b/dml-language-reference.md
index 80fc8ca..c828e70 100644
--- a/dml-language-reference.md
+++ b/dml-language-reference.md
@@ -628,7 +628,7 @@ nrow(), <br/> ncol(), <br/> length() | Return the number of rows, number of colu
 prod() | Return the product of all cells in matrix | Input: matrix <br/> Output: scalarj | prod(X)
 rand() | Generates a random matrix | Input: (rows=&lt;value&gt;, cols=&lt;value&gt;, min=&lt;value&gt;, max=&lt;value&gt;, sparsity=&lt;value&gt;, pdf=&lt;string&gt;, seed=&lt;value&gt;) <br/> rows/cols: Number of rows/cols (expression) <br/> min/max: Min/max value for cells (either constant value, or variable that evaluates to constant value) <br/> sparsity: fraction of non-zero cells (constant value) <br/> pdf: "uniform" (min, max) distribution, or "normal" (0,1) distribution; or "poisson" (lambda=1) distribution. string; default value is "uniform". Note that, for the Poisson distribution, users can provide the mean/lambda parameter as follows: <br/> rand(rows=1000,cols=1000, pdf="poisson", lambda=2.5). <br/> The default value for lambda is 1. <br/> seed: Every invocation of rand() internally generates a random seed with which the cell values are generated. One can optionally provide a seed when repeatability is desired.  <br/> Output: matrix | X�= rand(rows=10, cols=20, min=0, m
 ax=1, pdf="uniform", sparsity=0.2) <br/> The example generates a 10 x 20 matrix, with cell values uniformly chosen at random between 0 and 1, and approximately 20% of cells will have non-zero values.
 rbind() | Row-wise matrix concatenation. Concatenates the second matrix as additional rows to the first matrix | Input: (X &lt;matrix&gt;, Y &lt;matrix&gt;) <br/>Output: &lt;matrix&gt; <br/> X and Y are matrices, where the number of columns in X and the number of columns in Y are the same. | A = matrix(1, rows=2,cols=3) <br/> B = matrix(2, rows=2,cols=3) <br/> C = rbind(A,B) <br/> print("Dimensions of C: " + nrow(C) + " X " + ncol(C)) <br/> Output: <br/> Dimensions of C: 4 X 3
-removeEmpty() | Removes all empty rows or columns from the input matrix target X according to the specified margin. | Input : (target= X &lt;matrix&gt;, margin="...") <br/> Output : &lt;matrix&gt; <br/> Valid values for margin are "rows" or "cols". | A = removeEmpty(target=X, margin="rows")
+removeEmpty() | Removes all empty rows or columns from the input matrix target X according to the specified margin. Also, allows to apply a filter F before removing the empty rows/cols. | Input : (target= X &lt;matrix&gt;, margin="...", select=F) <br/> Output : &lt;matrix&gt; <br/> Valid values for margin are "rows" or "cols". | A = removeEmpty(target=X, margin="rows", select=F)
 replace() | Creates a copy of input matrix X, where all values that are equal to the scalar pattern s1 are replaced with the scalar replacement s2. | Input : (target= X &lt;matrix&gt;, pattern=&lt;scalar&gt;, replacement=&lt;scalar&gt;) <br/> Output : &lt;matrix&gt; <br/> If s1 is NaN, then all NaN values of X are treated as equal and hence replaced with s2. Positive and negative infinity are treated as different values. | A = replace(target=X, pattern=s1, replacement=s2)
 rev() | Reverses the rows in a matrix | Input : (&lt;matrix&gt;) <br/> Output : &lt;matrix&gt; | <span style="white-space: nowrap;">A = matrix("1 2 3 4", rows=2, cols=2)</span> <br/> <span style="white-space: nowrap;">B = matrix("1 2 3 4", rows=4, cols=1)</span> <br/> <span style="white-space: nowrap;">C = matrix("1 2 3 4", rows=1, cols=4)</span> <br/> revA = rev(A) <br/> revB = rev(B) <br/> revC = rev(C) <br/> Matrix revA: [[3, 4], [1, 2]]<br/> Matrix revB: [[4], [3], [2], [1]]<br/> Matrix revC: [[1, 2, 3, 4]]<br/>
 seq() | Creates a single column vector with values starting from &lt;from&gt;, to &lt;to&gt;, in increments of &lt;increment&gt; | Input: (&lt;from&gt;, &lt;to&gt;, &lt;increment&gt;) <br/> Output: &lt;matrix&gt; | S = seq (10, 200, 10)