Repository: spark Updated Branches: refs/heads/branch-1.4 9da55b570 -> 7e3f9fea6
[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.vazqu...@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' (cherry picked from commit d41ae4344c07064de03a120804830886e1614d92) Signed-off-by: Sean Owen <so...@cloudera.com> Project: http://git-wip-us.apache.org/repos/asf/spark/repo Commit: http://git-wip-us.apache.org/repos/asf/spark/commit/7e3f9fea Tree: http://git-wip-us.apache.org/repos/asf/spark/tree/7e3f9fea Diff: http://git-wip-us.apache.org/repos/asf/spark/diff/7e3f9fea Branch: refs/heads/branch-1.4 Commit: 7e3f9fea6534fb6b8ec584eee6c6a19679d1f835 Parents: 9da55b5 Author: FavioVazquez <favio.vazqu...@gmail.com> Authored: Sat May 16 08:07:03 2015 +0100 Committer: Sean Owen <so...@cloudera.com> Committed: Sat May 16 08:07:16 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/7e3f9fea/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-unsubscr...@spark.apache.org For additional commands, e-mail: commits-h...@spark.apache.org
