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author | lfzCarlosC <lfz.carlos@gmail.com> | 2016-05-25 10:53:53 -0700 |
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committer | Andrew Or <andrew@databricks.com> | 2016-05-25 10:53:57 -0700 |
commit | 02c8072eea72425e89256347e1f373a3e76e6eba (patch) | |
tree | 1e30843ada001df76e3fc472bf7011165ac1e7ae /mllib/src/main | |
parent | d6d3e50719b01005aa0e77349fc9a6ff88fecce3 (diff) | |
download | spark-02c8072eea72425e89256347e1f373a3e76e6eba.tar.gz spark-02c8072eea72425e89256347e1f373a3e76e6eba.tar.bz2 spark-02c8072eea72425e89256347e1f373a3e76e6eba.zip |
[MINOR][MLLIB][STREAMING][SQL] Fix typos
fixed typos for source code for components [mllib] [streaming] and [SQL]
None and obvious.
Author: lfzCarlosC <lfz.carlos@gmail.com>
Closes #13298 from lfzCarlosC/master.
Diffstat (limited to 'mllib/src/main')
-rw-r--r-- | mllib/src/main/scala/org/apache/spark/mllib/feature/IDF.scala | 2 | ||||
-rw-r--r-- | mllib/src/main/scala/org/apache/spark/mllib/stat/test/KolmogorovSmirnovTest.scala | 2 |
2 files changed, 2 insertions, 2 deletions
diff --git a/mllib/src/main/scala/org/apache/spark/mllib/feature/IDF.scala b/mllib/src/main/scala/org/apache/spark/mllib/feature/IDF.scala index 9457c6e9e3..bb4b37ef21 100644 --- a/mllib/src/main/scala/org/apache/spark/mllib/feature/IDF.scala +++ b/mllib/src/main/scala/org/apache/spark/mllib/feature/IDF.scala @@ -204,7 +204,7 @@ private object IDFModel { * Transforms a term frequency (TF) vector to a TF-IDF vector with a IDF vector * * @param idf an IDF vector - * @param v a term frequence vector + * @param v a term frequency vector * @return a TF-IDF vector */ def transform(idf: Vector, v: Vector): Vector = { diff --git a/mllib/src/main/scala/org/apache/spark/mllib/stat/test/KolmogorovSmirnovTest.scala b/mllib/src/main/scala/org/apache/spark/mllib/stat/test/KolmogorovSmirnovTest.scala index 9748fbf2c9..c3de5d75f4 100644 --- a/mllib/src/main/scala/org/apache/spark/mllib/stat/test/KolmogorovSmirnovTest.scala +++ b/mllib/src/main/scala/org/apache/spark/mllib/stat/test/KolmogorovSmirnovTest.scala @@ -45,7 +45,7 @@ import org.apache.spark.rdd.RDD * many elements are in each partition. Once these three values have been returned for every * partition, we can collect and operate locally. Locally, we can now adjust each distance by the * appropriate constant (the cumulative sum of number of elements in the prior partitions divided by - * thedata set size). Finally, we take the maximum absolute value, and this is the statistic. + * the data set size). Finally, we take the maximum absolute value, and this is the statistic. */ private[stat] object KolmogorovSmirnovTest extends Logging { |