This is an automated email from the ASF dual-hosted git repository.
gaoyunhaii pushed a commit to branch asf-site
in repository https://gitbox.apache.org/repos/asf/flink-web.git
The following commit(s) were added to refs/heads/asf-site by this push:
new b8e31e5 Rebuild website
b8e31e5 is described below
commit b8e31e57705e9c6f2d1102e8297f5c99336465c9
Author: Dong Lin <[email protected]>
AuthorDate: Thu Jan 13 15:40:49 2022 +0800
Rebuild website
---
content/blog/feed.xml | 14 ++++++++------
content/news/2022/01/07/release-ml-2.0.0.html | 14 ++++++++------
2 files changed, 16 insertions(+), 12 deletions(-)
diff --git a/content/blog/feed.xml b/content/blog/feed.xml
index dcff7d8..024dca6 100644
--- a/content/blog/feed.xml
+++ b/content/blog/feed.xml
@@ -168,12 +168,14 @@ TensorFlow program).</p>
<h2 id="algorithm-library">Algorithm Library</h2>
<p>Now that the Flink ML API re-design is done, we started the
initiative to add
-off-the-shelf algorithms in Flink ML. As part of this initiative, we borrowed
-ideas from the <a
href="https://github.com/alibaba/alink">Alink</a> project,
and worked
-closely with developers of the Alink project to design the new Flink ML APIs,
-refactor, optimize and migrate algorithms from Alink to Flink. Our long-term
-goal is to provide a library of performant algorithms that are easy to use,
-debug and customize for your needs.</p>
+off-the-shelf algorithms in Flink ML. The release of Flink-ML 2.0.0 is closely
+related to project Alink - an Apache Flink ecosystem project open sourced by
+Alibaba. The connection between the Flink community and developers of the Alink
+project dates back to 2017. The project Alink developers have a significant
+contribution in designing the new Flink ML APIs, refactoring, optimizing and
+migrating algorithms from Alink to Flink. Our long-term goal is to provide a
+library of performant algorithms that are easy to use, debug and customize for
+your needs.</p>
<p>We have implemented five algorithms in this release, i.e. logistic
regression,
k-means, k-nearest neighbors, naive bayes and one-hot encoder. For now these
diff --git a/content/news/2022/01/07/release-ml-2.0.0.html
b/content/news/2022/01/07/release-ml-2.0.0.html
index 3a08209..9d8a042 100644
--- a/content/news/2022/01/07/release-ml-2.0.0.html
+++ b/content/news/2022/01/07/release-ml-2.0.0.html
@@ -362,12 +362,14 @@ TensorFlow program).</p>
<h2 id="algorithm-library">Algorithm Library</h2>
<p>Now that the Flink ML API re-design is done, we started the initiative to
add
-off-the-shelf algorithms in Flink ML. As part of this initiative, we borrowed
-ideas from the <a href="https://github.com/alibaba/alink";>Alink</a> project,
and worked
-closely with developers of the Alink project to design the new Flink ML APIs,
-refactor, optimize and migrate algorithms from Alink to Flink. Our long-term
-goal is to provide a library of performant algorithms that are easy to use,
-debug and customize for your needs.</p>
+off-the-shelf algorithms in Flink ML. The release of Flink-ML 2.0.0 is closely
+related to project Alink - an Apache Flink ecosystem project open sourced by
+Alibaba. The connection between the Flink community and developers of the Alink
+project dates back to 2017. The project Alink developers have a significant
+contribution in designing the new Flink ML APIs, refactoring, optimizing and
+migrating algorithms from Alink to Flink. Our long-term goal is to provide a
+library of performant algorithms that are easy to use, debug and customize for
+your needs.</p>
<p>We have implemented five algorithms in this release, i.e. logistic
regression,
k-means, k-nearest neighbors, naive bayes and one-hot encoder. For now these
