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author | Xiangrui Meng <meng@apache.org> | 2015-01-15 02:38:52 +0000 |
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committer | Xiangrui Meng <meng@apache.org> | 2015-01-15 02:38:52 +0000 |
commit | 170b0d4200067d9015a72f5e116b9fe6f8fb4cd1 (patch) | |
tree | e893b3c17a4888467f41c3b0541243fbe2f8d3e6 /site/docs/1.2.0 | |
parent | 370051280bde430ad5872f3216592821b5acb041 (diff) | |
download | spark-website-170b0d4200067d9015a72f5e116b9fe6f8fb4cd1.tar.gz spark-website-170b0d4200067d9015a72f5e116b9fe6f8fb4cd1.tar.bz2 spark-website-170b0d4200067d9015a72f5e116b9fe6f8fb4cd1.zip |
update user guide to position spark.ml better (SPARK-5254)
Diffstat (limited to 'site/docs/1.2.0')
-rw-r--r-- | site/docs/1.2.0/ml-guide.html | 19 | ||||
-rw-r--r-- | site/docs/1.2.0/mllib-guide.html | 18 |
2 files changed, 21 insertions, 16 deletions
diff --git a/site/docs/1.2.0/ml-guide.html b/site/docs/1.2.0/ml-guide.html index d865c263c..654809e93 100644 --- a/site/docs/1.2.0/ml-guide.html +++ b/site/docs/1.2.0/ml-guide.html @@ -123,15 +123,16 @@ <h1 class="title">Spark ML Programming Guide</h1> - <p>Spark ML is Spark’s new machine learning package. It is currently an alpha component but is potentially a successor to <a href="mllib-guide.html">MLlib</a>. The <code>spark.ml</code> package aims to replace the old APIs with a cleaner, more uniform set of APIs which will help users create full machine learning pipelines.</p> - -<p>MLlib vs. Spark ML:</p> - -<ul> - <li>Users can use algorithms from either of the two packages, but APIs may differ. Currently, <code>spark.ml</code> offers a subset of the algorithms from <code>spark.mllib</code>. Since Spark ML is an alpha component, its API may change in future releases.</li> - <li>Developers should contribute new algorithms to <code>spark.mllib</code> and can optionally contribute to <code>spark.ml</code>. See below for more details.</li> - <li>Spark ML only has Scala and Java APIs, whereas MLlib also has a Python API.</li> -</ul> + <p><code>spark.ml</code> is a new package introduced in Spark 1.2, which aims to provide a uniform set of +high-level APIs that help users create and tune practical machine learning pipelines. +It is currently an alpha component, and we would like to hear back from the community about +how it fits real-world use cases and how it could be improved.</p> + +<p>Note that we will keep supporting and adding features to <code>spark.mllib</code> along with the +development of <code>spark.ml</code>. +Users should be comfortable using <code>spark.mllib</code> features and expect more features coming. +Developers should contribute new algorithms to <code>spark.mllib</code> and can optionally contribute +to <code>spark.ml</code>.</p> <p><strong>Table of Contents</strong></p> diff --git a/site/docs/1.2.0/mllib-guide.html b/site/docs/1.2.0/mllib-guide.html index 573d22ed2..fdee3fd75 100644 --- a/site/docs/1.2.0/mllib-guide.html +++ b/site/docs/1.2.0/mllib-guide.html @@ -175,16 +175,20 @@ filtering, dimensionality reduction, as well as underlying optimization primitiv The APIs marked <code>Experimental</code>/<code>DeveloperApi</code> may change in future releases, and the migration guide below will explain all changes between releases.</p> -<h1 id="sparkml-the-new-ml-package">spark.ml: The New ML Package</h1> +<h1 id="sparkml-high-level-apis-for-ml-pipelines">spark.ml: high-level APIs for ML pipelines</h1> -<p>Spark 1.2 includes a new machine learning package called <code>spark.ml</code>, currently an alpha component but potentially a successor to <code>spark.mllib</code>. The <code>spark.ml</code> package aims to replace the old APIs with a cleaner, more uniform set of APIs which will help users create full machine learning pipelines.</p> +<p>Spark 1.2 includes a new package called <code>spark.ml</code>, which aims to provide a uniform set of +high-level APIs that help users create and tune practical machine learning pipelines. +It is currently an alpha component, and we would like to hear back from the community about +how it fits real-world use cases and how it could be improved.</p> -<p>See the <strong><a href="ml-guide.html">spark.ml programming guide</a></strong> for more information on this package.</p> - -<p>Users can use algorithms from either of the two packages, but APIs may differ. Currently, <code>spark.ml</code> offers a subset of the algorithms from <code>spark.mllib</code>.</p> +<p>Note that we will keep supporting and adding features to <code>spark.mllib</code> along with the +development of <code>spark.ml</code>. +Users should be comfortable using <code>spark.mllib</code> features and expect more features coming. +Developers should contribute new algorithms to <code>spark.mllib</code> and can optionally contribute +to <code>spark.ml</code>.</p> -<p>Developers should contribute new algorithms to <code>spark.mllib</code> and can optionally contribute to <code>spark.ml</code>. -See the <code>spark.ml</code> programming guide linked above for more details.</p> +<p>See the <strong><a href="ml-guide.html">spark.ml programming guide</a></strong> for more information on this package.</p> <h1 id="dependencies">Dependencies</h1> |