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Posted to commits@systemml.apache.org by ni...@apache.org on 2017/04/19 22:22:01 UTC
incubator-systemml git commit: [MINOR] Updated the algorithm
documentation to clearly mark the "Argument" section.
Repository: incubator-systemml
Updated Branches:
refs/heads/master ce6f05b6c -> d69fdfe45
[MINOR] Updated the algorithm documentation to clearly mark the "Argument" section.
Project: http://git-wip-us.apache.org/repos/asf/incubator-systemml/repo
Commit: http://git-wip-us.apache.org/repos/asf/incubator-systemml/commit/d69fdfe4
Tree: http://git-wip-us.apache.org/repos/asf/incubator-systemml/tree/d69fdfe4
Diff: http://git-wip-us.apache.org/repos/asf/incubator-systemml/diff/d69fdfe4
Branch: refs/heads/master
Commit: d69fdfe45cbd20efc618927a07b457bbb5f43023
Parents: ce6f05b
Author: Niketan Pansare <np...@us.ibm.com>
Authored: Wed Apr 19 14:20:00 2017 -0800
Committer: Niketan Pansare <np...@us.ibm.com>
Committed: Wed Apr 19 15:21:39 2017 -0700
----------------------------------------------------------------------
docs/algorithms-classification.md | 12 ++++++------
docs/algorithms-regression.md | 10 +++++-----
2 files changed, 11 insertions(+), 11 deletions(-)
----------------------------------------------------------------------
http://git-wip-us.apache.org/repos/asf/incubator-systemml/blob/d69fdfe4/docs/algorithms-classification.md
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diff --git a/docs/algorithms-classification.md b/docs/algorithms-classification.md
index 0ee43bf..b029e0a 100644
--- a/docs/algorithms-classification.md
+++ b/docs/algorithms-classification.md
@@ -180,7 +180,7 @@ val prediction = model.transform(X_test_df)
</div>
</div>
-### Arguments
+### Arguments for Spark and Hadoop invocation
**X**: Location (on HDFS) to read the input matrix of feature vectors; each row
constitutes one feature vector.
@@ -592,7 +592,7 @@ val prediction = model.transform(X_test_df)
</div>
</div>
-#### Arguments
+#### Arguments for Spark and Hadoop invocation
**X**: Location (on HDFS) to read the matrix of feature vectors; each
row constitutes one feature vector.
@@ -861,7 +861,7 @@ val prediction = model.transform(X_test_df)
</div>
-#### Arguments
+#### Arguments for Spark and Hadoop invocation
**X**: Location (on HDFS) containing the explanatory variables in
a matrix. Each row constitutes an example.
@@ -1212,7 +1212,7 @@ val prediction = model.transform(X_test_df)
</div>
-### Arguments
+### Arguments for Spark and Hadoop invocation
**X**: Location (on HDFS) to read the matrix of feature vectors; each
row constitutes one feature vector.
@@ -1472,7 +1472,7 @@ implementation is well-suited to handle large-scale data and builds a
</div>
-### Arguments
+### Arguments for Spark and Hadoop invocation
**X**: Location (on HDFS) to read the matrix of feature vectors; each row
constitutes one feature vector. Note that categorical features in $X$
@@ -1887,7 +1887,7 @@ for classification in parallel.
</div>
-### Arguments
+### Arguments for Spark and Hadoop invocation
**X**: Location (on HDFS) to read the matrix of feature vectors; each row
constitutes one feature vector. Note that categorical features in $X$
http://git-wip-us.apache.org/repos/asf/incubator-systemml/blob/d69fdfe4/docs/algorithms-regression.md
----------------------------------------------------------------------
diff --git a/docs/algorithms-regression.md b/docs/algorithms-regression.md
index 80b38a3..31f7ec2 100644
--- a/docs/algorithms-regression.md
+++ b/docs/algorithms-regression.md
@@ -168,7 +168,7 @@ y_test = lr.fit(df_train)
</div>
-### Arguments
+### Arguments for Spark and Hadoop invocation
**X**: Location (on HDFS) to read the matrix of feature vectors, each row
constitutes one feature vector
@@ -570,7 +570,7 @@ lowest AIC is computed.
</div>
</div>
-### Arguments
+### Arguments for Spark and Hadoop invocation
**X**: Location (on HDFS) to read the matrix of feature vectors, each row
contains one feature vector.
@@ -782,7 +782,7 @@ distributions and link functions, see below for details.
</div>
</div>
-### Arguments
+### Arguments for Spark and Hadoop invocation
**X**: Location (on HDFS) to read the matrix of feature vectors; each row
constitutes an example.
@@ -1255,7 +1255,7 @@ distribution family is supported (see below for details).
</div>
-### Arguments
+### Arguments for Spark and Hadoop invocation
**X**: Location (on HDFS) to read the matrix of feature vectors; each row is an
example.
@@ -1503,7 +1503,7 @@ this step outside the scope of `GLM-predict.dml` for now.
</div>
-### Arguments
+### Arguments for Spark and Hadoop invocation
**X**: Location (on HDFS) to read the $n\,{\times}\,m$-matrix $X$ of feature
vectors, each row constitutes one feature vector (one record)