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janardhan pushed a commit to branch main
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The following commit(s) were added to refs/heads/main by this push:
new eeff3a4 [DOCS] Remove unused code and update links in home
eeff3a4 is described below
commit eeff3a4d660cd467de01400e71bad054feaeeb0d
Author: Janardhan Pulivarthi <[email protected]>
AuthorDate: Fri Nov 19 04:06:31 2021 +0530
[DOCS] Remove unused code and update links in home
---
_src/_includes/themes/apache/home.html | 31 +++++++++++--------------------
1 file changed, 11 insertions(+), 20 deletions(-)
diff --git a/_src/_includes/themes/apache/home.html
b/_src/_includes/themes/apache/home.html
index a8dc2d9..122ad37 100644
--- a/_src/_includes/themes/apache/home.html
+++ b/_src/_includes/themes/apache/home.html
@@ -40,7 +40,7 @@ limitations under the License.
<div class="col-4" id="award">
</div>
<div class="col-8">
- <h3>Name change from SystemML to SystemDS</h3>
+ <h3>SystemML is now SystemDS</h3>
<p>To reflect the change of focus to the end-to-end data science
lifecycle
</div>
</div>
@@ -55,13 +55,13 @@ limitations under the License.
<div class="col col-6 content-group content-group--more-padding">
<!-- bdi tag prevents reverse punctuation when rtl direction property is
applied -->
<h2><bdi>What is SystemDS?</bdi></h2>
- <p>Apache SystemDS provides an optimal workplace for machine learning
using big data.
- It can be run on top of Apache Spark or standalone, where it
automatically scales your data, line by line,
- determining whether your code should be run on the driver or an Apache
Spark cluster.
- SystemDS include additional deep learning with GPU capabilities such
as importing and
- running neural network architectures and pre-trained models for
training.</p>
- <p><a href="#systemml-video" class="modal-trigger jq-modal-trigger"><span
- class="icon play-button"></span><span>Learn more about
SystemDS</span></a></p>
+ <p>SystemDS is an open source ML system for the end-to-end data science
lifecycle from
+ data integration, cleaning, and feature engineering, over efficient,
local and distributed
+ ML model training, to deployment and serving. To this end, it provides
a stack of declarative
+ languages with R-like syntax for (1) the different tasks of the
data-science lifecycle, and
+ (2) users with different expertise. These high-level scripts are
compiled into hybrid execution
+ plans of local, in-memory CPU and GPU operations, as well as
distributed operations on Apache Spark
+ </p>
</div>
</div>
</section>
@@ -78,7 +78,7 @@ limitations under the License.
getting you up and going with SystemDS.</p>
<a class="button button-primary" href="/systemds/site/install">Install
SystemDS</a>
<!-- <a class="button button-secondary"
href="get-started.html#sample-notebook">Notebooks</a> -->
- <!-- <a class="button button-secondary" href="documentation.html"
target="_blank">Docs</a> -->
+ <a class="button button-secondary" href="documentation.html"
target="_blank">Docs</a>
</div>
</div>
@@ -123,20 +123,11 @@ limitations under the License.
</div>
<div class="col col-12">
<ul class="link-list bullet-pointless">
- <li><a class="icon icon-youtube"
href="https://www.youtube.com/channel/UCQwUHIc5SjqNIppUH6xbxXQ";
- target="_blank"></a></li>
<li><a class="icon icon-github" href="{{
site.data.project.source_repository_mirror }}" target="_blank"></a>
</li>
- <!-- <li><a class="icon icon-twitter"
href="https://twitter.com/ApacheSystemML"; target="_blank"></a></li> -->
- <!-- <li><a class="icon icon-medium"
href="https://medium.com/@apachesystemml"; target="_blank"></a></li> -->
+ <li><a class="icon icon-twitter"
href="https://twitter.com/ApacheSystemDS"; target="_blank"></a></li>
+ <li><a class="icon icon-medium"
href="https://medium.com/apache-systemds"; target="_blank"></a></li>
</ul>
</div>
</div>
</section>
-
-<div id="systemml-video" class="modal-overlay">
- <a href="#" class="icon icon-close jq-close"></a>
- <div class="video-wrapper">
- <iframe src="https://www.youtube.com/embed/r-kFYkYoD_4"; frameborder="0"
allowfullscreen></iframe>
- </div>
-</div>
\ No newline at end of file
