You are viewing a plain text version of this content. The canonical link for it is here.
Posted to commits@spark.apache.org by sr...@apache.org on 2015/05/16 09:07:11 UTC
spark git commit: [SPARK-7671] Fix wrong URLs in MLlib Data Types
Documentation
Repository: spark
Updated Branches:
refs/heads/master 578bfeeff -> d41ae4344
[SPARK-7671] Fix wrong URLs in MLlib Data Types Documentation
There is a mistake in the URL of Matrices in the MLlib Data Types documentation (Local matrix scala section), the URL points to https://spark.apache.org/docs/latest/api/scala/index.html#org.apache.spark.mllib.linalg.Matrices which is a mistake, since Matrices is an object that implements factory methods for Matrix that does not have a companion class. The correct link should point to https://spark.apache.org/docs/latest/api/scala/index.html#org.apache.spark.mllib.linalg.Matrices$
There is another mistake, in the Local Vector section in Scala, Java and Python
In the Scala section the URL of Vectors points to the trait Vector (https://spark.apache.org/docs/latest/api/scala/index.html#org.apache.spark.mllib.linalg.Vector) and not to the factory methods implemented in Vectors.
The correct link should be: https://spark.apache.org/docs/latest/api/scala/index.html#org.apache.spark.mllib.linalg.Vectors$
In the Java section the URL of Vectors points to the Interface Vector (https://spark.apache.org/docs/latest/api/java/org/apache/spark/mllib/linalg/Vector.html) and not to the Class Vectors
The correct link should be:
https://spark.apache.org/docs/latest/api/java/org/apache/spark/mllib/linalg/Vectors.html
In the Python section the URL of Vectors points to the class Vector (https://spark.apache.org/docs/latest/api/python/pyspark.mllib.html#pyspark.mllib.linalg.Vector) and not the Class Vectors
The correct link should be:
https://spark.apache.org/docs/latest/api/python/pyspark.mllib.html#pyspark.mllib.linalg.Vectors
Author: FavioVazquez <fa...@gmail.com>
Closes #6196 from FavioVazquez/fix-typo-matrices-mllib-datatypes and squashes the following commits:
3e9efd5 [FavioVazquez] - Fixed wrong URLs in the MLlib Data Types Documentation
9af7074 [FavioVazquez] Merge remote-tracking branch 'upstream/master'
edab1ef [FavioVazquez] Merge remote-tracking branch 'upstream/master'
b2e2f8c [FavioVazquez] Merge remote-tracking branch 'upstream/master'
Project: http://git-wip-us.apache.org/repos/asf/spark/repo
Commit: http://git-wip-us.apache.org/repos/asf/spark/commit/d41ae434
Tree: http://git-wip-us.apache.org/repos/asf/spark/tree/d41ae434
Diff: http://git-wip-us.apache.org/repos/asf/spark/diff/d41ae434
Branch: refs/heads/master
Commit: d41ae4344c07064de03a120804830886e1614d92
Parents: 578bfee
Author: FavioVazquez <fa...@gmail.com>
Authored: Sat May 16 08:07:03 2015 +0100
Committer: Sean Owen <so...@cloudera.com>
Committed: Sat May 16 08:07:03 2015 +0100
----------------------------------------------------------------------
docs/mllib-data-types.md | 8 ++++----
1 file changed, 4 insertions(+), 4 deletions(-)
----------------------------------------------------------------------
http://git-wip-us.apache.org/repos/asf/spark/blob/d41ae434/docs/mllib-data-types.md
----------------------------------------------------------------------
diff --git a/docs/mllib-data-types.md b/docs/mllib-data-types.md
index 4f2a2f7..acec042 100644
--- a/docs/mllib-data-types.md
+++ b/docs/mllib-data-types.md
@@ -31,7 +31,7 @@ The base class of local vectors is
implementations: [`DenseVector`](api/scala/index.html#org.apache.spark.mllib.linalg.DenseVector) and
[`SparseVector`](api/scala/index.html#org.apache.spark.mllib.linalg.SparseVector). We recommend
using the factory methods implemented in
-[`Vectors`](api/scala/index.html#org.apache.spark.mllib.linalg.Vector) to create local vectors.
+[`Vectors`](api/scala/index.html#org.apache.spark.mllib.linalg.Vectors$) to create local vectors.
{% highlight scala %}
import org.apache.spark.mllib.linalg.{Vector, Vectors}
@@ -57,7 +57,7 @@ The base class of local vectors is
implementations: [`DenseVector`](api/java/org/apache/spark/mllib/linalg/DenseVector.html) and
[`SparseVector`](api/java/org/apache/spark/mllib/linalg/SparseVector.html). We recommend
using the factory methods implemented in
-[`Vectors`](api/java/org/apache/spark/mllib/linalg/Vector.html) to create local vectors.
+[`Vectors`](api/java/org/apache/spark/mllib/linalg/Vectors.html) to create local vectors.
{% highlight java %}
import org.apache.spark.mllib.linalg.Vector;
@@ -84,7 +84,7 @@ and the following as sparse vectors:
with a single column
We recommend using NumPy arrays over lists for efficiency, and using the factory methods implemented
-in [`Vectors`](api/python/pyspark.mllib.html#pyspark.mllib.linalg.Vector) to create sparse vectors.
+in [`Vectors`](api/python/pyspark.mllib.html#pyspark.mllib.linalg.Vectors) to create sparse vectors.
{% highlight python %}
import numpy as np
@@ -241,7 +241,7 @@ The base class of local matrices is
[`Matrix`](api/scala/index.html#org.apache.spark.mllib.linalg.Matrix), and we provide one
implementation: [`DenseMatrix`](api/scala/index.html#org.apache.spark.mllib.linalg.DenseMatrix).
We recommend using the factory methods implemented
-in [`Matrices`](api/scala/index.html#org.apache.spark.mllib.linalg.Matrices) to create local
+in [`Matrices`](api/scala/index.html#org.apache.spark.mllib.linalg.Matrices$) to create local
matrices.
{% highlight scala %}
---------------------------------------------------------------------
To unsubscribe, e-mail: commits-unsubscribe@spark.apache.org
For additional commands, e-mail: commits-help@spark.apache.org