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author | FavioVazquez <favio.vazquezp@gmail.com> | 2015-05-16 08:07:03 +0100 |
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committer | Sean Owen <sowen@cloudera.com> | 2015-05-16 08:07:03 +0100 |
commit | d41ae4344c07064de03a120804830886e1614d92 (patch) | |
tree | 73a90750b7573a4fc5d02e25ce6d672f4fabe806 /docs | |
parent | 578bfeeff514228f6fd4b07a536815fbb3510f7e (diff) | |
download | spark-d41ae4344c07064de03a120804830886e1614d92.tar.gz spark-d41ae4344c07064de03a120804830886e1614d92.tar.bz2 spark-d41ae4344c07064de03a120804830886e1614d92.zip |
[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 <favio.vazquezp@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'
Diffstat (limited to 'docs')
-rw-r--r-- | docs/mllib-data-types.md | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/docs/mllib-data-types.md b/docs/mllib-data-types.md index 4f2a2f7104..acec0426dc 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 %} |