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[MINOR][DOC] Fix broken word2vec link
Follow-up of [SPARK-12199](https://issues.apache.org/jira/browse/SPARK-12199) and apache#10193 where a broken link has been left as is. Author: BenFradet <benjamin.fradet@gmail.com> Closes apache#10282 from BenFradet/SPARK-12199. (cherry picked from commit e25f1fe) Signed-off-by: Sean Owen <sowen@cloudera.com>
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docs/ml-features.md

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@@ -63,7 +63,7 @@ the [IDF Python docs](api/python/pyspark.ml.html#pyspark.ml.feature.IDF) for mor
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`Word2VecModel`. The model maps each word to a unique fixed-size vector. The `Word2VecModel`
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transforms each document into a vector using the average of all words in the document; this vector
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can then be used for as features for prediction, document similarity calculations, etc.
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Please refer to the [MLlib user guide on Word2Vec](mllib-feature-extraction.html#word2Vec) for more
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Please refer to the [MLlib user guide on Word2Vec](mllib-feature-extraction.html#word2vec) for more
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details.
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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.

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