spark-commits mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From jkbrad...@apache.org
Subject [2/2] spark-website git commit: html changes for mllib site
Date Fri, 09 Dec 2016 20:24:25 GMT
html changes for mllib site


Project: http://git-wip-us.apache.org/repos/asf/spark-website/repo
Commit: http://git-wip-us.apache.org/repos/asf/spark-website/commit/a82adf04
Tree: http://git-wip-us.apache.org/repos/asf/spark-website/tree/a82adf04
Diff: http://git-wip-us.apache.org/repos/asf/spark-website/diff/a82adf04

Branch: refs/heads/asf-site
Commit: a82adf043744269bfd81d78f2f04e0307fd4626b
Parents: 057cad1
Author: Joseph K. Bradley <joseph.kurata.bradley@gmail.com>
Authored: Wed Dec 7 12:43:12 2016 -0800
Committer: Joseph K. Bradley <joseph.kurata.bradley@gmail.com>
Committed: Wed Dec 7 12:43:12 2016 -0800

----------------------------------------------------------------------
 site/mllib/index.html | 30 +++++++++++++++++++++---------
 1 file changed, 21 insertions(+), 9 deletions(-)
----------------------------------------------------------------------


http://git-wip-us.apache.org/repos/asf/spark-website/blob/a82adf04/site/mllib/index.html
----------------------------------------------------------------------
diff --git a/site/mllib/index.html b/site/mllib/index.html
index 11808fb..e29228b 100644
--- a/site/mllib/index.html
+++ b/site/mllib/index.html
@@ -220,7 +220,7 @@
         data = spark.read.format(<span class="string">"libsvm"</span>)\<br
/>
 	    &nbsp;&nbsp;.load(<span class="string">"hdfs://..."</span>)<br
/>
         <br />
-        model = <span class="sparkop">KMeans</span>(data, k=10)
+        model = <span class="sparkop">KMeans</span>(k=10).fit(data)
       </div>
       <div class="caption">Calling MLlib in Python</div>
     </div>
@@ -270,25 +270,37 @@
   <div class="col-md-4 col-padded">
     <h3>Algorithms</h3>
     <p>
-      MLlib contains many algorithms and utilities, including:
+      MLlib contains many algorithms and utilities.
+    </p>
+    <p>
+      ML algorithms include:
     </p>
     <ul class="list-narrow">
       <li>Classification: logistic regression, naive Bayes,...</li>
-      <li>Regression: generalized linear regression, isotonic regression,...</li>
+      <li>Regression: generalized linear regression, survival regression,...</li>
       <li>Decision trees, random forests, and gradient-boosted trees</li>
       <li>Recommendation: alternating least squares (ALS)</li>
       <li>Clustering: K-means, Gaussian mixtures (GMMs),...</li>
       <li>Topic modeling: latent Dirichlet allocation (LDA)</li>
+      <li>Frequent itemsets, association rules, and sequential pattern mining</li>
+    </ul>
+    <p>
+      ML workflow utilities include:
+    </p>
+    <ul class="list-narrow">
       <li>Feature transformations: standardization, normalization, hashing,...</li>
-      <li>Model evaluation and hyper-parameter tuning</li>
       <li>ML Pipeline construction</li>
+      <li>Model evaluation and hyper-parameter tuning</li>
       <li>ML persistence: saving and loading models and Pipelines</li>
-      <li>Survival analysis: accelerated failure time model</li>
-      <li>Frequent itemset and sequential pattern mining: FP-growth, association rules,
PrefixSpan</li>
-      <li>Distributed linear algebra: singular value decomposition (SVD), principal
component analysis (PCA),...</li>
+    </ul>
+    <p>
+      Other utilities include:
+    </p>
+    <ul class="list-narrow">
+      <li>Distributed linear algebra: SVD, PCA,...</li>
       <li>Statistics: summary statistics, hypothesis testing,...</li>
     </ul>
-    <p>Refer to the <a href="/docs/latest/mllib-guide.html">MLlib guide</a>
for usage examples.</p>
+    <p>Refer to the <a href="/docs/latest/ml-guide.html">MLlib guide</a>
for usage examples.</p>
   </div>
 
   <div class="col-md-4 col-padded">
@@ -315,7 +327,7 @@
     </p>
     <ul class="list-narrow">
       <li><a href="/downloads.html">Download Spark</a>. MLlib is included
as a module.</li>
-      <li>Read the <a href="/docs/latest/mllib-guide.html">MLlib guide</a>,
which includes
+      <li>Read the <a href="/docs/latest/ml-guide.html">MLlib guide</a>,
which includes
       various usage examples.</li>
       <li>Learn how to <a href="/docs/latest/#launching-on-a-cluster">deploy</a>
Spark on a cluster
         if you'd like to run in distributed mode. You can also run locally on a multicore
machine


---------------------------------------------------------------------
To unsubscribe, e-mail: commits-unsubscribe@spark.apache.org
For additional commands, e-mail: commits-help@spark.apache.org


Mime
View raw message