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Posted to commits@systemml.apache.org by gw...@apache.org on 2017/09/07 23:51:37 UTC
systemml git commit: [MINOR] Update version in README files
Repository: systemml
Updated Branches:
refs/heads/master 4d376637a -> 824e4c05c
[MINOR] Update version in README files
Updated version and removed incubating.
Project: http://git-wip-us.apache.org/repos/asf/systemml/repo
Commit: http://git-wip-us.apache.org/repos/asf/systemml/commit/824e4c05
Tree: http://git-wip-us.apache.org/repos/asf/systemml/tree/824e4c05
Diff: http://git-wip-us.apache.org/repos/asf/systemml/diff/824e4c05
Branch: refs/heads/master
Commit: 824e4c05c53102943c045a765fa522ee82a6dab5
Parents: 4d37663
Author: Glenn Weidner <gw...@us.ibm.com>
Authored: Thu Sep 7 16:42:32 2017 -0700
Committer: Glenn Weidner <gw...@us.ibm.com>
Committed: Thu Sep 7 16:42:32 2017 -0700
----------------------------------------------------------------------
README.md | 4 ++--
docs/spark-mlcontext-programming-guide.md | 8 ++++----
src/main/standalone/README.txt | 4 ++--
3 files changed, 8 insertions(+), 8 deletions(-)
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http://git-wip-us.apache.org/repos/asf/systemml/blob/824e4c05/README.md
----------------------------------------------------------------------
diff --git a/README.md b/README.md
index dcc90db..565854a 100644
--- a/README.md
+++ b/README.md
@@ -107,14 +107,14 @@ Before you get started on SystemML, make sure that your environment is set up an
4. **Download SystemML.**
- Go to the [SystemML Downloads page](http://systemml.apache.org/download.html), download `systemml-0.14.0-incubating.zip` (should be 2nd), and unzip it to a location of your choice.
+ Go to the [SystemML Downloads page](http://systemml.apache.org/download.html), download `systemml-0.15.0.zip` (should be 2nd), and unzip it to a location of your choice.
*The next step is optional, but it will make your life a lot easier.*
5. **[OPTIONAL] Set `SYSTEMML_HOME` in your bash profile.**
Add the following to `~/.bash_profile`, replacing `path/to/` with the location of the download in step 5.
```
- export SYSTEMML_HOME=path/to/systemml-0.14.0-incubating
+ export SYSTEMML_HOME=path/to/systemml-0.15.0
```
*Make sure to open a new tab in terminal so that you make sure the changes have been made.*
http://git-wip-us.apache.org/repos/asf/systemml/blob/824e4c05/docs/spark-mlcontext-programming-guide.md
----------------------------------------------------------------------
diff --git a/docs/spark-mlcontext-programming-guide.md b/docs/spark-mlcontext-programming-guide.md
index 22f5a1b..e935c65 100644
--- a/docs/spark-mlcontext-programming-guide.md
+++ b/docs/spark-mlcontext-programming-guide.md
@@ -174,7 +174,7 @@ MLResults
## LeNet on MNIST Example
-SystemML features the DML-based [`nn` library for deep learning](https://github.com/apache/incubator-systemml/tree/master/scripts/nn).
+SystemML features the DML-based [`nn` library for deep learning](https://github.com/apache/systemml/tree/master/scripts/nn).
At project build time, SystemML automatically generates wrapper classes for DML scripts
to enable convenient access to scripts and execution of functions.
@@ -1220,7 +1220,7 @@ via `ml.scripts.algorithms.Univar_Stats`, as shown below. This feature is not av
{% highlight scala %}
val habermanUrl = "http://archive.ics.uci.edu/ml/machine-learning-databases/haberman/haberman.data"
val typesRDD = sc.parallelize(Array("1.0,1.0,1.0,2.0"))
-val scriptUrl = "https://raw.githubusercontent.com/apache/incubator-systemml/master/scripts/algorithms/Univar-Stats.dml"
+val scriptUrl = "https://raw.githubusercontent.com/apache/systemml/master/scripts/algorithms/Univar-Stats.dml"
ml.scripts.algorithms.Univar_Stats.in("A", new java.net.URL(habermanUrl)).in("K", typesRDD).in("$CONSOLE_OUTPUT", true).execute
{% endhighlight %}
</div>
@@ -1233,8 +1233,8 @@ habermanUrl: String = http://archive.ics.uci.edu/ml/machine-learning-databases/h
scala> val typesRDD = sc.parallelize(Array("1.0,1.0,1.0,2.0"))
typesRDD: org.apache.spark.rdd.RDD[String] = ParallelCollectionRDD[21] at parallelize at <console>:30
-scala> val scriptUrl = "https://raw.githubusercontent.com/apache/incubator-systemml/master/scripts/algorithms/Univar-Stats.dml"
-scriptUrl: String = https://raw.githubusercontent.com/apache/incubator-systemml/master/scripts/algorithms/Univar-Stats.dml
+scala> val scriptUrl = "https://raw.githubusercontent.com/apache/systemml/master/scripts/algorithms/Univar-Stats.dml"
+scriptUrl: String = https://raw.githubusercontent.com/apache/systemml/master/scripts/algorithms/Univar-Stats.dml
scala> ml.scripts.algorithms.Univar_Stats.in("A", new java.net.URL(habermanUrl)).in("K", typesRDD).in("$CONSOLE_OUTPUT", true).execute
17/06/05 17:23:37 WARN RewriteRemovePersistentReadWrite: Non-registered persistent write of variable 'baseStats' (line 186).
http://git-wip-us.apache.org/repos/asf/systemml/blob/824e4c05/src/main/standalone/README.txt
----------------------------------------------------------------------
diff --git a/src/main/standalone/README.txt b/src/main/standalone/README.txt
index 316b569..d29ed8c 100644
--- a/src/main/standalone/README.txt
+++ b/src/main/standalone/README.txt
@@ -102,14 +102,14 @@ Before you get started on SystemML, make sure that your environment is set up an
4. **Download SystemML.**
- Go to the [SystemML Downloads page](http://systemml.apache.org/download.html), download `systemml-0.14.0-incubating.zip` (should be 2nd), and unzip it to a location of your choice.
+ Go to the [SystemML Downloads page](http://systemml.apache.org/download.html), download `systemml-0.15.0.zip` (should be 2nd), and unzip it to a location of your choice.
*The next step is optional, but it will make your life a lot easier.*
5. **[OPTIONAL] Set `SYSTEMML_HOME` in your bash profile.**
Add the following to `~/.bash_profile`, replacing `path/to/` with the location of the download in step 5.
```
- export SYSTEMML_HOME=path/to/systemml-0.14.0-incubating
+ export SYSTEMML_HOME=path/to/systemml-0.15.0
```
*Make sure to open a new tab in terminal so that you make sure the changes have been made.*