On Thu, Apr 7, 2016 at 6:04 PM, Niketan Pansare <npan...@us.ibm.com> wrote:
> > > Hi all, > > Here is a suggestion for reducing the barrier to entry for SystemML: "Have > a detailed quickstart guide/video using Notebook on free (or trial-based) > hosting solution like IBM Bluemix or Data Scientist Workbench". > > I have create a sample tutorial: > https://github.com/niketanpansare/systemml_tutorial > > Missing items in above tutorial: > 1. Create a separate section for Notebook rather than have it hidden under > MLContext Programming guide ( > > http://apache.github.io/incubator-systemml/spark-mlcontext-programming-guide.html > ). > 2. Add Python Notebooks (This requires attaching both jars and python > MLContext to Zeppelin or Jupyter context). > 3. Allow users to use jars from our nightly build (see my jupyter example) > as well as released version (see my zeppelin example). > 4. Tutorials for all our algorithms using real world dataset. Example: > > https://www.ibm.com/support/knowledgecenter/SSPT3X_2.1.2/com.ibm.swg.im.infosphere.biginsights.tut.doc/doc/tut_Mod_BigR.html > . > 5. DML Kernel for Zeppelin (see > https://issues.apache.org/jira/browse/SYSTEMML-542). > 6. Other hosting services such as AzureML. > 7. Tutorial that shows SystemML's integration with MLPipeline. > > These missing items can be broken down into relatively small tasks with > detailed specification that external contributors can work on. Any > thoughts ? > > Thanks, > > > > Great !!! Any reason these are not on the project git (e.g. samples) ? And the tutorial as part of the documentation ? I believe that having a central place to find these might be very useful for interested users. -- Luciano Resende http://twitter.com/lresende1975 http://lresende.blogspot.com/
