Repository: spark Updated Branches: refs/heads/branch-1.6 94ce5025f -> c0f0f6cb0
[MINOR][DOC] Fix broken word2vec link Follow-up of [SPARK-12199](https://issues.apache.org/jira/browse/SPARK-12199) and #10193 where a broken link has been left as is. Author: BenFradet <benjamin.fra...@gmail.com> Closes #10282 from BenFradet/SPARK-12199. (cherry picked from commit e25f1fe42747be71c6b6e6357ca214f9544e3a46) 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/c0f0f6cb Tree: http://git-wip-us.apache.org/repos/asf/spark/tree/c0f0f6cb Diff: http://git-wip-us.apache.org/repos/asf/spark/diff/c0f0f6cb Branch: refs/heads/branch-1.6 Commit: c0f0f6cb0fef6e939744b60fdd4911c718f8fac5 Parents: 94ce502 Author: BenFradet <benjamin.fra...@gmail.com> Authored: Mon Dec 14 13:50:30 2015 +0000 Committer: Sean Owen <so...@cloudera.com> Committed: Mon Dec 14 13:50:40 2015 +0000 ---------------------------------------------------------------------- docs/ml-features.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) ---------------------------------------------------------------------- http://git-wip-us.apache.org/repos/asf/spark/blob/c0f0f6cb/docs/ml-features.md ---------------------------------------------------------------------- diff --git a/docs/ml-features.md b/docs/ml-features.md index 158f3f2..677e4bf 100644 --- a/docs/ml-features.md +++ b/docs/ml-features.md @@ -63,7 +63,7 @@ the [IDF Python docs](api/python/pyspark.ml.html#pyspark.ml.feature.IDF) for mor `Word2VecModel`. The model maps each word to a unique fixed-size vector. The `Word2VecModel` transforms each document into a vector using the average of all words in the document; this vector can then be used for as features for prediction, document similarity calculations, etc. -Please refer to the [MLlib user guide on Word2Vec](mllib-feature-extraction.html#word2Vec) for more +Please refer to the [MLlib user guide on Word2Vec](mllib-feature-extraction.html#word2vec) for more details. In the following code segment, we start with a set of documents, each of which is represented as a sequence of words. For each document, we transform it into a feature vector. This feature vector could then be passed to a learning algorithm. --------------------------------------------------------------------- To unsubscribe, e-mail: commits-unsubscr...@spark.apache.org For additional commands, e-mail: commits-h...@spark.apache.org