Repository: incubator-systemml Updated Branches: refs/heads/gh-pages 25f2484e2 -> 4ca421013
[MINOR] Remove redundant links from docs index Remove redundant links from docs index. Remove 'Coming Soon' from PyDML Language Reference. Replace Caffe2DML absolute reference with relative reference. Project: http://git-wip-us.apache.org/repos/asf/incubator-systemml/repo Commit: http://git-wip-us.apache.org/repos/asf/incubator-systemml/commit/4ca42101 Tree: http://git-wip-us.apache.org/repos/asf/incubator-systemml/tree/4ca42101 Diff: http://git-wip-us.apache.org/repos/asf/incubator-systemml/diff/4ca42101 Branch: refs/heads/gh-pages Commit: 4ca421013816cd3d1e9e620a014c95408949b61b Parents: 25f2484 Author: Deron Eriksson <[email protected]> Authored: Thu May 18 23:46:13 2017 -0700 Committer: Deron Eriksson <[email protected]> Committed: Thu May 18 23:46:13 2017 -0700 ---------------------------------------------------------------------- index.md | 9 ++------- 1 file changed, 2 insertions(+), 7 deletions(-) ---------------------------------------------------------------------- http://git-wip-us.apache.org/repos/asf/incubator-systemml/blob/4ca42101/index.md ---------------------------------------------------------------------- diff --git a/index.md b/index.md index 96b834d..e10d48d 100644 --- a/index.md +++ b/index.md @@ -45,23 +45,18 @@ for running SystemML from Spark via Scala, Python, or Java. * [Spark Shell Example (Scala)](spark-mlcontext-programming-guide#spark-shell-example) * [Jupyter Notebook Example (PySpark)](spark-mlcontext-programming-guide#jupyter-pyspark-notebook-example---poisson-nonnegative-matrix-factorization) * [Spark Batch](spark-batch-mode) - Algorithms are automatically optimized to run across Spark clusters. - * See [Invoking SystemML in Spark Batch Mode](spark-batch-mode) for detailed information. * [Hadoop Batch](hadoop-batch-mode) - Algorithms are automatically optimized when distributed across Hadoop clusters. - * See [Invoking SystemML in Hadoop Batch Mode](hadoop-batch-mode) for detailed information. * [Standalone](standalone-guide) - Standalone mode allows data scientists to rapidly prototype algorithms on a single machine in R-like and Python-like declarative languages. - * The [Standalone Guide](standalone-guide) provides examples of algorithm execution - in Standalone Mode. * [JMLC](jmlc) - Java Machine Learning Connector. - * See [Java Machine Learning Connector (JMLC)](jmlc) for more information. -* *Experimental* [Caffe2DML API](http://apache.github.io/incubator-systemml/beginners-guide-caffe2dml) for Deep Learning. +* *Experimental* [Caffe2DML API](beginners-guide-caffe2dml) for Deep Learning. ## Language Guides * [Python API Reference](python-reference) - API Reference Guide for Python users. * [DML Language Reference](dml-language-reference) - DML is a high-level R-like declarative language for machine learning. -* **PyDML Language Reference** **(Coming Soon)** - +* **PyDML Language Reference** - PyDML is a high-level Python-like declarative language for machine learning. * [Beginner's Guide to DML and PyDML](beginners-guide-to-dml-and-pydml) - An introduction to the basics of DML and PyDML.
