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 <gweid...@us.ibm.com> Authored: Thu Sep 7 16:42:32 2017 -0700 Committer: Glenn Weidner <gweid...@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(-) ---------------------------------------------------------------------- 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.*
