From e25f1fe42747be71c6b6e6357ca214f9544e3a46 Mon Sep 17 00:00:00 2001 From: BenFradet <benjamin.fradet@gmail.com> Date: Mon, 14 Dec 2015 13:50:30 +0000 Subject: [PATCH] [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.fradet@gmail.com> Closes #10282 from BenFradet/SPARK-12199. --- docs/ml-features.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/ml-features.md b/docs/ml-features.md index 158f3f2018..677e4bfb91 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. -- GitLab